Barely three months into the new year and we are happy to announce a monumental milestone reached - 150 million downloads.
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This achievement solidifies IntechOpen’s place as a pioneer in Open Access publishing and the home to some of the most relevant scientific research available through Open Access.
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We are so proud to have worked with so many bright minds throughout the years who have helped us spread knowledge through the power of Open Access and we look forward to continuing to support some of the greatest thinkers of our day.
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Thank you for making IntechOpen your place of learning, sharing, and discovery, and here’s to 150 million more!
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Since different criteria are contradictory, it is difficult and often impossible to find a single feasible solution that is good for all the criteria. Hence, some compromise is needed. As such, this book examines the commonly accepted compromise of the traditional Pareto-optimality approach. It also proposes one new alternative approach for generating feasible solutions to multi-criteria optimization problems. Finally, the book presents two chapters on the existing solution methods for two real-life, multi-criteria optimization problems.",isbn:"978-1-78984-719-2",printIsbn:"978-1-78984-718-5",pdfIsbn:"978-1-83969-265-9",doi:"10.5772/intechopen.78897",price:119,priceEur:129,priceUsd:155,slug:"multicriteria-optimization-pareto-optimality-and-threshold-optimality",numberOfPages:106,isOpenForSubmission:!1,isInWos:null,isInBkci:!1,hash:"05baea741edde509bab2259dad7f6384",bookSignature:"Nodari Vakhania and Frank Werner",publishedDate:"November 26th 2020",coverURL:"https://cdn.intechopen.com/books/images_new/8521.jpg",numberOfDownloads:3200,numberOfWosCitations:0,numberOfCrossrefCitations:6,numberOfCrossrefCitationsByBook:0,numberOfDimensionsCitations:14,numberOfDimensionsCitationsByBook:0,hasAltmetrics:0,numberOfTotalCitations:20,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"November 12th 2018",dateEndSecondStepPublish:"January 31st 2019",dateEndThirdStepPublish:"April 1st 2019",dateEndFourthStepPublish:"June 20th 2019",dateEndFifthStepPublish:"August 19th 2019",currentStepOfPublishingProcess:5,indexedIn:"1,2,3,4,5,6,7",editedByType:"Edited by",kuFlag:!1,featuredMarkup:null,editors:[{id:"202585",title:"Prof.",name:"Nodari",middleName:null,surname:"Vakhania",slug:"nodari-vakhania",fullName:"Nodari Vakhania",profilePictureURL:"https://mts.intechopen.com/storage/users/202585/images/system/202585.jpg",biography:"Nodari Vakhania graduated with honors from the Faculty of Applied Mathematics and Cybernetics, Tbilisi State University, Georgia, in 1983. In 1989, he entered the PhD program in Computer Science at the Russian Academy of Sciences, Moscow, and obtained a degree in Mathematical Cybernetics in 1991. In 1992, he was a postdoctoral fellow at the Russian Academy of Sciences, and had a short-term visiting position at the University of Saarbrucken, Germany. In 1995, he became a professor at the Centro de Investigación en Ciencias at the State University of Morelos, Mexico. He also has an honorary position at the Institute of Computational Mathematics of the Georgian Academy of Sciences, where he received a doctoral degree in Mathematical Cybernetics in 2004. His research interests include design and analysis of algorithms, discrete optimization, computational complexity and scheduling theory. He is an author of nearly 100 refereed research papers including more than 60 publications in highly ranked international journals. He has also worked with different scientific committees, including those at the Mexican Science Foundation CONACyT. He is an editorial board member and a referee for a number of international scientific journals. He has obtained research grants and honors in Germany, France, the Netherlands, the United States, Russia, and Mexico, and has given more than forty invited talks throughout the world.",institutionString:"Universidad Autónoma del Estado de México",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"2",totalChapterViews:"0",totalEditedBooks:"1",institution:{name:"Universidad Autónoma del Estado de México",institutionURL:null,country:{name:"Mexico"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null,coeditorOne:{id:"278801",title:"Dr.",name:"Frank",middleName:null,surname:"Werner",slug:"frank-werner",fullName:"Frank Werner",profilePictureURL:"https://mts.intechopen.com/storage/users/278801/images/system/278801.jpg",biography:"Frank Werner studied Mathematics from 1975 to 1980 and graduated from the Technical University Magdeburg (Germany) with honors. He defended his PhD thesis in 1984 (summa cum laude) and his habilitation thesis in 1989. In 1992, he received a grant from the Alexander von Humboldt Foundation. Currently, he works as Extraordinary Professor at the Faculty of Mathematics of the Otto-von-Guericke University Magdeburg (Germany). He is an author or editor of seven books, and he has published more than 280 papers. He is on the editorial board of seventeen journals; in particular, he is editor-in-chief of Algorithms and an associate editor of International Journal of Production Research and Journal of Scheduling. His research interests include operations research, combinatorial optimization, and scheduling.",institutionString:"MBA Magdeburg, Germany",position:null,outsideEditionCount:null,totalCites:0,totalAuthoredChapters:"0",totalChapterViews:"0",totalEditedBooks:"0",institution:null},coeditorTwo:null,coeditorThree:null,coeditorFour:null,coeditorFive:null,topics:[{id:"969",title:"Mathematical Optimization",slug:"mathematical-optimization"}],chapters:[{id:"68246",title:"Pareto Optimality and Equilibria in Noncooperative Games",doi:"10.5772/intechopen.88184",slug:"pareto-optimality-and-equilibria-in-noncooperative-games",totalDownloads:420,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"This chapter considers the Nash equilibrium strategy profiles that are Pareto optimal with respect to the rest of the Nash equilibrium strategy profiles. The sufficient conditions for the existence of such pure strategy profiles are established. These conditions employ the Germeier convolutions of the payoff functions. For the noncooperative games with compact strategy sets and continuous payoff functions, the existence of the Pareto-optimal Nash equilibria (PoNE) in mixed strategies is proven.",signatures:"Vladislav Zhukovskiy and Konstantin Kudryavtsev",downloadPdfUrl:"/chapter/pdf-download/68246",previewPdfUrl:"/chapter/pdf-preview/68246",authors:[{id:"285575",title:"Prof.",name:"Vladislav",surname:"Zhukovskiy",slug:"vladislav-zhukovskiy",fullName:"Vladislav Zhukovskiy"},{id:"285577",title:"Dr.",name:"Konstantin",surname:"Kudryavtsev",slug:"konstantin-kudryavtsev",fullName:"Konstantin Kudryavtsev"}],corrections:null},{id:"73530",title:"Polynomial Algorithm for Constructing Pareto-Optimal Schedules for Problem 1∣rj∣Lmax,Cmax",doi:"10.5772/intechopen.93677",slug:"polynomial-algorithm-for-constructing-pareto-optimal-schedules-for-problem-1-em-r-em-sub-j-sub-em-l-",totalDownloads:349,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"In this chapter, we consider the single machine scheduling problem with given release dates, processing times, and due dates with two objective functions. The first one is to minimize the maximum lateness, that is, maximum difference between each job due date and its actual completion time. The second one is to minimize the maximum completion time, that is, to complete all the jobs as soon as possible. The problem is NP-hard in the strong sense. We provide a polynomial time algorithm for constructing a Pareto-optimal set of schedules on criteria of maximum lateness and maximum completion time, that is, problem \n\n1\n∣\n\nr\nj\n\n∣\n\nL\nmax\n\n,\n\nC\nmax\n\n\n, for the subcase of the problem: \n\n\nd\n1\n\n≤\n\nd\n2\n\n≤\n…\n≤\n\nd\nn\n\n;\n\nd\n1\n\n−\n\nr\n1\n\n−\n\np\n1\n\n≥\n\nd\n2\n\n−\n\nr\n2\n\n−\n\np\n2\n\n≥\n…\n≥\n\nd\nn\n\n−\n\nr\nn\n\n−\n\np\nn\n\n\n.",signatures:"Alexander A. Lazarev and Nikolay Pravdivets",downloadPdfUrl:"/chapter/pdf-download/73530",previewPdfUrl:"/chapter/pdf-preview/73530",authors:[{id:"326113",title:"Dr.",name:"Alexander",surname:"Lazarev",slug:"alexander-lazarev",fullName:"Alexander Lazarev"},{id:"326114",title:"Dr.",name:"Nikolay",surname:"Pravdivets",slug:"nikolay-pravdivets",fullName:"Nikolay Pravdivets"}],corrections:null},{id:"71174",title:"A Brief Look at Multi-Criteria Problems: Multi-Threshold Optimization versus Pareto-Optimization",doi:"10.5772/intechopen.91169",slug:"a-brief-look-at-multi-criteria-problems-multi-threshold-optimization-versus-pareto-optimization",totalDownloads:642,totalCrossrefCites:1,totalDimensionsCites:2,hasAltmetrics:0,abstract:"Multi-objective optimization problems are important as they arise in many practical circumstances. In such problems, there is no general notion of optimality, as there are different objective criteria which can be contradictory. In practice, often there is no unique optimality criterion for measuring the solution quality. The latter is rather determined by the value of the solution for each objective criterion. In fact, a practitioner seeks for a solution that has an acceptable value of each of the objective functions and, in practice, there may be different tolerances to the quality of the delivered solution for different objective functions: for some objective criteria, solutions that are far away from an optimal one can be acceptable. Traditional Pareto-optimality approach aims to create all non-dominated feasible solutions in respect to all the optimality criteria. This often requires an inadmissible time. Besides, it is not evident how to choose an appropriate solution from the Pareto-optimal set of feasible solutions, which can be very large. Here we propose a new approach and call it multi-threshold optimization setting that takes into account different requirements for different objective criteria and so is more flexible and can often be solved in a more efficient way.",signatures:"Nodari Vakhania and Frank Werner",downloadPdfUrl:"/chapter/pdf-download/71174",previewPdfUrl:"/chapter/pdf-preview/71174",authors:[{id:"202585",title:"Prof.",name:"Nodari",surname:"Vakhania",slug:"nodari-vakhania",fullName:"Nodari Vakhania"}],corrections:null},{id:"68118",title:"Overview of Multi-Objective Optimization Approaches in Construction Project Management",doi:"10.5772/intechopen.88185",slug:"overview-of-multi-objective-optimization-approaches-in-construction-project-management",totalDownloads:1219,totalCrossrefCites:5,totalDimensionsCites:12,hasAltmetrics:0,abstract:"The difficulties that are met in construction projects include budget issues, contractual time constraints, complying with sustainability rating systems, meeting local building codes, and achieving the desired quality level, to name but a few. Construction researchers have proposed and construction practitioners have used optimization strategies to meet various objectives over the years. They started out by optimizing one objective at a time (e.g., minimizing construction cost) while disregarding others. Because the objectives of construction projects often conflict with each other, single-objective optimization does not offer practical solutions as optimizing one objective would often adversely affect the other objectives that are not being optimized. They then experimented with multi-objective optimization. The many multi-objective optimization approaches that they used have their own advantages and drawbacks when used in some scenarios with different sets of objectives. In this chapter, a review is presented of 16 multi-objective optimization approaches used in 55 research studies performed in the construction industry and that were published in the period 2012–2016. The discussion highlights the strengths and weaknesses of these approaches when used in different scenarios.",signatures:"Ibraheem Alothaimeen and David Arditi",downloadPdfUrl:"/chapter/pdf-download/68118",previewPdfUrl:"/chapter/pdf-preview/68118",authors:[{id:"304595",title:"Dr.",name:"David",surname:"Arditi",slug:"david-arditi",fullName:"David Arditi"},{id:"304596",title:"Dr.",name:"Ibraheem",surname:"Alothaimeen",slug:"ibraheem-alothaimeen",fullName:"Ibraheem Alothaimeen"}],corrections:null},{id:"72225",title:"On the Practical Consideration of Evaluators’ Credibility in Evaluating Relative Importance of Criteria for Some Real-Life Multicriteria Problems: An Overview",doi:"10.5772/intechopen.92541",slug:"on-the-practical-consideration-of-evaluators-credibility-in-evaluating-relative-importance-of-criter",totalDownloads:570,totalCrossrefCites:0,totalDimensionsCites:0,hasAltmetrics:0,abstract:"A multicriteria (MC) problem usually consists of a set of predetermined alternatives or subjects to be analyzed, which is prescribed under a finite number of criteria. MC problems are found in various applications to solve various area problems. There are three goals in solving the problems: ranking, sorting or grouping the alternatives according to their overall scores. Most of MC methods require the criteria weights to be combined mathematically with the quality of the criteria in finding the overall score of each alternative. This chapter provides an overview on the practical consideration of evaluators’ credibility or superiority in calculating the criteria weights and overall scores of the alternatives. In order to show how the degree of credibility of evaluators can be practically considered in solving a real problem, a numerical example of evaluation of students’ academic performance is available in the Appendix at the end of the chapter. The degree of credibility of teachers who participated in weighting the academic subjects was determined objectively, and the rank-based criteria weighting methods were used in the example. Inclusion of the degree of credibility of evaluators who participated in solving multicriteria problems would make the results more realistic and accurate.",signatures:"Maznah Mat Kasim",downloadPdfUrl:"/chapter/pdf-download/72225",previewPdfUrl:"/chapter/pdf-preview/72225",authors:[{id:"288050",title:"Associate Prof.",name:"Maznah",surname:"Kasim",slug:"maznah-kasim",fullName:"Maznah Kasim"}],corrections:null}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"},subseries:null,tags:null},relatedBooks:[{type:"book",id:"5165",title:"Optimization Algorithms",subtitle:"Methods and Applications",isOpenForSubmission:!1,hash:"be6004a7c88dc524c5c277cac27d6022",slug:"optimization-algorithms-methods-and-applications",bookSignature:"Ozgur Baskan",coverURL:"https://cdn.intechopen.com/books/images_new/5165.jpg",editedByType:"Edited by",editors:[{id:"15540",title:"Prof.",name:"Ozgur",surname:"Baskan",slug:"ozgur-baskan",fullName:"Ozgur 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\r\n\tThe evaluation of the seismic hazard of a particular site represents the principal input data needed to develop the seismic code regulations and to perform structural building design worldwide. Being the actual trend of automatization of structural designs using various available software, it is imperative that structural engineers also study the estimation of earthquake ground motions and the associated risk of their designs, and seismologists envision in their research interests the structural analysis of buildings as well. Merging these technical fields would result in a new educational curriculum that would fulfill the actual research trends and demand practices. This book will address the recent advances, new perspectives, and applications of seismic hazard and risk evaluation based on the following topics: Tectonics, seismicity evaluation, ground motion prediction equations GMPEs, seismic hazard probabilistic methods, and site effects evaluation, including but not limited to inversion analysis on strong motion data and geophysical prospecting; development of structural fragility curves and seismic risk estimation.
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From chapter submission and review to approval and revision, copyediting and design, until final publication, I work closely with authors and editors to ensure a simple and easy publishing process. I maintain constant and effective communication with authors, editors and reviewers, which allows for a level of personal support that enables contributors to fully commit and concentrate on the chapters they are writing, editing, or reviewing. I assist authors in the preparation of their full chapter submissions and track important deadlines and ensure they are met. I help to coordinate internal processes such as linguistic review, and monitor the technical aspects of the process. As an ASM I am also involved in the acquisition of editors. 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1. Introduction
Air pollution can be defined as the presence in the atmosphere of one or more contaminants in such quality and for such duration as is injurious, or tends to be injurious, to human health or welfare, animal or plant life. It is the contamination of air by the discharge of harmful substances. Industrialization have led to air getting more and more polluted over the years. Industries, vehicles, increase in the population, and urbanization are some of the major factors responsible for air pollution. The following industries are among those that emit a great deal of pollutants into the air: thermal power plants, cement, steel, refineries, petro chemicals, and mines.
Air pollution can cause health problems and it can also damage the environment and property. It has caused thinning of the protective ozone layer of the atmosphere, which is leading to climate change. The source of pollution may be in one country but the impact of pollution may be felt elsewhere. The discovery of pesticides in Antarctica, where they have never been used, suggests the extent to which aerial transport can carry pollutants from one place to another.
The most important tools in environmental protection is monitoring and modeling. Both the monitoring and modeling of air pollution is essential to provide a picture of the damage humans are doing to the environment, and to enable pollution problems to be discovered and dealt with. An environmental monitoring could be defined as a system of detection, measurements, evaluations and forecasts of environmental states, and the collecting, processing and spreading of information on the environment.
Air pollution and its control is a global issue demanding international cooperation. Monitoring of air pollution is a very important source of data. However, measurement of the air pollutant concentrations, in comparison to monitoring of other elements in the environment, is the most difficult. The difficulties arise from the large dynamics of the atmosphere, causing that it constitutes the main route of pollution spreading and their transport between remaining environmental compartments and universal exposure for a large population without a chance for isolation, which is possible in the case of polluted waters and soil. Another problem is low concentration of air pollutants and their interaction with other gases.
This chapter is divided into two parts. In the first, a general information on gaseous air pollution, parameters used to characterize the pollution level and equipment applied for air monitoring and analysis is presented. Finally, the mobile monitoring system (MMS), as an example of a new approach for air monitoring along communication lanes, proposed by the authors is described.
2. History of air pollution legislation
Concern about urban air quality is not new. First complaints were recorded in the 13th century when coal was first used in London. Today the emphasis has shifted from the pollution problems caused by industry to the pollution in urban areas. A growing concern over the influence of different air pollutants on human health were the main driving force to develop and implement of air quality criteria and standards.
In 1967, the US Congress enacted the Air Quality Acts, the first modern environmental law.
The Clean Air Act (Environmental Protection Agency, 2008), which was last amended in 1990, requires the United States Environmental Protection (US EPA) to set National Ambient Air Quality Standards (NAAQS) for pollutants considered harmful to public health and the environment. The Clean Air Act established two types of national air quality standards. Primary standards set limits to protect public health, including the health of "sensitive" populations such as asthmatics, children, and the elderly. Secondary standards set limits to protect public welfare, including protection against decreased visibility, damage to animals, crops, vegetation, and buildings. The EPA has established NAAQS for six principal pollutants, which are called criteria pollutants: sulphur dioxide, particulate matter, nitrogen oxide, carbon monoxide, ozone and lead. These standards are threshold concentrations based on a detailed review of scientific information related to effects.
In Europe, the first international air quality standards were introduced by the European Commission in 1980 for SO2 and suspended particulates, mainly aimed at protecting human health. A few years later, the World Health Organization, recognizing ecological damage as being relevant to human health, introduced air quality guidelines for Europe which included the former as well as the latter, later revised in 2000 (World Health Organisation, 2000). The newest directive on ambient air quality and cleaner air of the European Union entered into force in June 2008 (European Union, 2008). It merges four earlier directives and one Council decision into a single directive on air quality. The new directive of the European Union on air quality takes into account concerns from the latest WHO air quality guidelines (WHO, 2005) on fine particles. Reflecting the latest WHO air quality guidelines that identify fine particles (PM2.5) as one of the most dangerous pollutants for human health, the new EU directive sets objectives and target dates for reducing population exposure to PM2.5. It also maintains limits for concentrations of coarser particles known as PM10 and other main pollutants already subject to legislation.
Pollutant levels, especially gaseous, which negatively affect life on earth are nowadays well defined. Table 1 presents examples of air quality standards issued by the Environmental Protection Agency (EPA), the Word Health Organization (WHO) and some states (ARMAAG).
3. Regulated air pollutants
The contaminants in ambient air that are of concern are basically categorized as criteria and non criteria pollutants (Grifin, 2007).
Criteria air pollutants are those air contaminants for which numerical concentration limits
Pollutant
Averaging time
WHO
EPA
UE
UK
France
Germany
Poland
SO2
10-15 min
500
-
-
266 (not more than 35 times)
-
-
-
30 min
-
-
-
-
-
-
1h
-
-
350 (not more than 24 times)
350 (not more than 24 times)
350 (not more than 24 times)
350
350 (not more than 24 times)
3h
-
1300
-
-
-
-
-
24h
125
365
125 (not more than 3 times)
125 (not more than 3 times)
125 (not more than 3 times)
125
125 (not more than 3 times)
year
50
80
20
20
20
20
20
NO2
30 min
-
-
-
-
-
200
-
1h
200
-
200 (not more than 18 times)
200 (not more than 18 times)
230 (not longer than 0.2% of time)
-
200 (not more than 18 times)
24h
-
-
-
-
-
100
-
year
40
100
40
40
46
-
40
PM10
30 min
-
-
-
-
-
-
-
24h
20
150
50 (not more than 35 times)
50 (not more than 35 times)
50 (not more than 35 times)
50
50 (not more than 35 times)
year
50
-
40
40
40
40
40
CO
10-15 min
100000
-
-
-
-
-
-
30 min
60000
-
-
-
-
-
-
1h
30000
4000
-
-
-
-
-
8h
10000
1000
1000
1000
1000
1000
1000
24h
-
-
-
-
-
-
-
year
-
-
-
-
-
-
-
O3
30 min
-
-
-
-
-
-
-
1h
-
235
-
-
-
-
-
8h
100
157
120
100 (not more than 10 times)
120
120
120 (not more than 25 days)
Pb
24h
-
-
-
-
-
5
-
3 months
-
1.5
-
0.5
-
-
-
year
0.5
-
0.5
-
0.5
0.5
0.5
Benzene
year
-
-
5
16.25
8
-
5
Table 1.
Comparison of limit values [µm/m3] for a given averaging time, number of exceedances per year issued by different countries and organizations (ARMAAG)
have been set as the dividing line between acceptable air quality and poor or unhealthy air quality. Criteria pollutants include five gases/vapours and two solids: nitrogen oxides (NOx), sulphur dioxide (SO2), carbon monoxide (CO), ozone (O3), benzene, particulate matter (PM10) and lead (Pb). Non criteria pollutants are those contaminants designated as toxic or hazardous by legislation or regulation. They fall in two further subcategories, depending on the legislation that defines them. In general, hazardous air pollutants may pose a variety of health effects, whereas the toxic focus on one physiological response.
4. Characteristics of criteria air pollutants
Air pollutants arise from a wide variety of sources although they are mainly a result of the combustion process (Friedrich & Reis, 2004). The largest sources include power generation, motor vehicle and industry. The emissions of pollutants into the atmosphere badly influence vegetation, human and animal life, agriculture and climate. Emissions of carbon monoxide (CO), nitrogen oxides (NOx) and hydrocarbons (HC) are controlled by catalytic converters on new gasoline driven cars. Emissions of sulphur oxides are being reduced through lower sulphur content in gasoline. However, emissions of particulate matter are not decreasing. Any successful strategies for controlling or countering these problems must be based on reliable air quality monitoring data for management, to make informed decisions on air pollution control.
Volatile organic compounds (VOCs) is a collective name for a very large number of different chemical species, including hydrocarbons, halocarbons and oxygenates that have different physico-chemical properties and are directly emitted from both anthropogenic and natural sources, and which can contribute to the formation of secondary pollutants with different efficiencies. For vehicular emissions, the list of compounds is long and variable depending on fuel, type of engine, and operating conditions. Hydrocarbons such as ethane, ethyne, higher aliphatic hydrocarbons, benzene, toluene, and xylenes (BTX) are typical emissions in most cases. Each of these compounds can be released unreacted or can undergo oxidation reactions. One of them, benzene, is found in the highest concentrations. Ambient concentrations are typically between 1-50 ppb but close to major emissions can be as high as several hundred ppb. In the unreacted state, it has undesirable ecotoxicological properties. Besides causing annoying physiological reactions such as dizziness and membrane irritation, it is known to be a human carcinogen.
The two nitrogen oxides, NO and NO2\n\t\t\t\t(together called NOx) from anthropogenic sources are present as a consequence of various combustion processes from both stationary sources, i.e. power generation (21%) and mobile sources, i.e. transport (44%). These species have very short atmospheric lifetimes, around five days, being ultimately converted to nitric acid and removed in rainfalls. However, nitrogen oxide is important because it is a precursor to tropospheric ozone. Whereas NO does not affect climate, ozone does. A typical sea-level mixing ratio of NO is 5 ppt (parts per trillion, 1:1012 ) but in urban regions, NO mixing ratios reach 0.1 ppm in the early morning, but decrease to zero by midmorning due to their reaction with ozone. A major source of NO2 is oxidation of NO, being intermediary between NO emission and O3 formation. Nitrogen dioxide is one of the six criteria air pollutants for which ambient standards are set by the US EPA under CAAA70 (Clean Air Act Amendments of 1970). In urban regions, the mixing ratio of NO2 ranges from 0.1 to 0.25 ppm. It is more prevalent during midmorning than during midday or afternoon because sunlight breaks down most NO2 past midmorning. Exposure to high concentrations of NO2 harms the lungs and increases respiratory infections. It may trigger asthma by damaging or irritating and sensitizing the lungs, making people more susceptible to allergens. At higher concentrations, it can result in acute bronchitis or death.
Sulfur dioxide (SO2) is a strong smelling, colorless gas that is formed by the combustion of fossil fuels, smelting, manufacture of sulfuric acid, conversion of wood pulp to paper, incineration of refuse and production of elemental sulphur. Power plants, which may use coal or oil high in sulfur content, can be major sources of SO2 accounting for about 50 % of annual global emissions. SO2 and other sulfur oxides contribute to the problem of acid deposition and can be major contributors to smog. Natural background levels of SO2 are about 2 ppb. Hourly peak values can reach 750 ppb on infrequent occasions. Sulphur dioxide can lead to lung diseases. SO2 is a criteria air pollutant.
Ozone (O3) is not directly emitted from both anthropogenic and natural sources. Its only source into air is chemical reaction. In urban air, ozone mixing ratios range from less than 0.01 ppm at night to 0.5 ppm (during afternoons in the most polluted cities world wide), with typical values of 0.15 ppm during moderately polluted afternoons. Ozone causes headaches at concentrations greater than 0.15 ppmv, chest pains at mixing ratios greater than 0.25 ppm, and a sore throat and coughing at mixing ratios greater than 0.30 ppm. Exceeding a level of 0.30 ppm decreases lung functions. Respiratory symptoms include coughing and breathing discomfort. Ozone can also accelerate the aging of lung tissue. It also interferes with the growth of plants and deteriorates organic materials, such as rubber, textiles and some paints and coatings. Furthermore, ozone increases plant and tree stress and their susceptibility to disease, infestation and death.
Particulate matter (PM) in the atmosphere, frequently described simply as particle pollution, arises from natural sources, such as windborne dust, sea spray, and volcanoes and from anthropogenic activities, such as combustion of fuels. Particle pollution in the air includes a mixture of solids and liquid droplets and come in a wide range of sizes. Those less than 10 micrometers in diameter (PM10) are so small that they can enter the lungs, potentially causing serious health problems. Particles less than 2.5 micrometers in diameter are called fine particles. These particles are so small they can only be detected with an electron microscope. Sources of fine particles include all types of combustion, including motor vehicles, power plants, residential wood burning, forest fires, agricultural burning, and some industrial processes. Particles between 2.5 and 10 micrometers in diameter are referred to as coarse. Sources of coarse particles include crushing or grinding operations, and dust stirred up by vehicles traveling on roads. After being released into the air, particles can change their size and composition by condensation of vapour species or by evaporation, by coagulating with other particles or by chemical reaction. Particles smaller than 1 µm in diameter generally have atmospheric concentrations in a range from around ten to several thousand per cm3; those exceeding 1 µm diameter are usually found at concentrations less than 1 cm-3.
Carbon monoxide (CO) is a colourless, odourless gas that is produced by the incomplete burning of carbon-based fuels including petrol, diesel and wood. It is also produced from the combustion of natural and synthetic products such as cigarettes. Natural background levels of CO fall in a range of 10-200 ppb. Levels in urban areas are highly variable, depending upon weather conditions and traffic density. 8-hour mean values are generally less than 10 ppm but sometimes can be as high as 500 ppm. Carbon monoxide lowers the amount of oxygen that enters the blood. It can slow human reflexes and may make people confused and sleepy.
5. Air pollution monitoring networks
For the purpose of monitoring and reporting of air pollution, most industrialised countries have been divided into regions or zones and urban areas or agglomerations, e.g. in Europe in accordance with EC Directive 96/62/EC (European Union, 1996). This Directive sets a framework for ways to monitor and report ambient levels of air pollutants. Other directives set ambient air limit values for particular pollutants:
Directive 99/30/EC for nitrogen dioxide and oxides of nitrogen, sulphur dioxide, lead and particulate matter,
Directive 2000/69/EC for benzene and carbon monoxide,
Directive 2002/3/EC for ozone.
The monitoring sites are organized into automatic and non-automatic networks (national, regional and local) that gather a specific kind of information using a particular method. For example, across the UK there are over 1500 monitoring sites which monitor air quality and these are organized into networks (automatic and non-automatic) that gather a specific kind of information, using a particular method. The pollutants measured and the method used by each network depend on the reason for setting up the network, and what the data is to be used for. In Poland, the monitoring of air quality has been performed systematically since 1992, mainly by using automatic air monitoring stations. National network comprises 81 specialized monitoring stations, where basic pollutants are measured everyday (CO, CO2, SOx, NOx, HCl and particulate matter PM10 and PM2,5). Regional and local networks comprises 390 stations localized in cities over 20 000 citizens and additionally 60 stations in spas.
The obtained information concerns different types of concentrations of investigated pollutants depending on applied sampling techniques and a measuring period. The results of measurements may be referred to in real time (instantaneous concentrations) or to a selected period of time (e.g., 1-hr, 8 hrs, 24-hrs, month, year). Final measurements represent averaged concentrations. The obtained data from air monitoring is used in air quality inventories and bulletins.
Considering the frequency of discrete sampling, periodic and instantaneous measurements are distinguished. Taking into account space, parameter measurements are divided to a point, averaged along a defined part of space and averaged on the selected area. Point monitoring is inadequate to measure poorly mixed gases such as fugitive emissions over large areas. If the point instrument is wrongly placed, measurement results are not representative. Final measurements enable the determination of weighted average concentrations over the sampling period.
6. General characteristic of instruments for air monitoring
The earliest air quality measurements used relatively simple, manual techniques. Often a sample was collected at a site and then returned to a laboratory for analysis. This is, in fact, still a common practice today, due to the relative low cost and high reliability of these types of measurements. Since seventieth of the XX century the automatic analyzers were introduced to the monitoring networks. These had the benefit of low labour costs and could provide highly resolved, continuous measurements. These continuous measurements became a requirement for regulatory purposes and so, in many cities urban monitoring network was established to monitor compliance with the emerging EC Directive limit values on air quality. The networks were subsequently expanded, following commitments by different governments to expand urban monitoring in particular countries and improve public availability of air quality information.
The basic requirement of the analyzers for air monitoring is high measurement sensitivity, i.e. a low limit of detection (LOD) and low limit of quantitation (LOQ). It gives a chance for the detection of pollutants at required levels. Instruments which should acquire analytical data in real time or only with a small time delay, have to be equipped with the following additional capabilities:
provide high resolution data (characterized by a low response time),
provide automatic calibration and zeroing,
extended operation without service or maintenance.
The last demand means that they should be equipped with an independent power supply and be able to automatically regenerate or exchange worn out filters and, depending on the type of detector (sensor) used, fulfill special demands, e.g., for electrochemical sensors, exchange or supplement the working solution and reagents, and in devices with FID or FPD detection, protect against flame extinguishing.
Analytical instruments currently used for the detection and determination of atmospheric pollutants can be classified according to various criteria (Wardencki et al., 2008).
Recently, measuring techniques based on a physical (or physicochemical) principle, have been used more frequently in the assessment of air quality. Such methods involve the direct determination of a physical property of a pollutant, sometimes after its interaction with another compound. In this approach, better stability, sensitivity and reliability may be easily achieved. Furthermore, the practical application requires less maintenance. Instruments based on this principle can be easily automated, which enables their use in providing continuous measurements needed for up-to-date assessments of air quality. It is especially relevant to environmental monitoring because many existing standards refer to a specified period of time, i.e. 1 hour, 24 hours or a year.
According to the location where measurements are taken, instruments can be stationary or on-site. In the first case, analysis is performed in the laboratory and sophisticated instruments are used, such as mass, electron mobility or X-ray fluorescence spectrometers. On-site systems enable measuring pollution levels in the field. Since access to a sophisticated laboratory is not required, the devices (usually uncomplicated, relatively cheap and portable) hold great promise for use in remote locations. The main advantage of on-site analysis is the potential for rapid assessment and response to a particular problem.
All monitoring systems can be classified as mobile or stationary. Most existing systems which monitor gaseous pollutants of atmospheric air and ambient aerosols, both automatic and manual, usually perform stationary measurements, i.e. they are directly linked to a specific point or space in the vicinity of that point. Based on the data obtained from a single monitoring site, it is not possible to assess spatial and temporal variations of air pollutants.
Mobile refers to a continuous-monitoring instrument that is portable or transportable. They are usually designed to perform analytical measurements without preliminary operations. Portable refers to a self-contained, battery-operated device, which may be worn or carried by the person using it, or may require the use of special vehicles for placement in a specific area to be monitored. Transportable gas monitors can be mounted on a vehicle such as a car, plane, balloon, ship or space shuttle, but not to a mining machine or an industrial truck.
For mobile systems, registered values of pollutants have to be correlated with information about the geographical site and actual meteorological conditions (temperature and humidity).
Several contributions published during the last decade have proven the advantages of mobile systems in getting information concerning the spatial and temporal distribution of atmospheric trace gases, without the need of a dense network of stationary stations. Most of the proposed systems are based on the application of mobile laboratories (Bukowiecki et al., 2002), (Gouriou et al., 2004), (Pirjola et al., 2004), equipped with appropriate monitors. There are also systems which allow the measurement of pollutants in a stream of vehicles, but a measuring unit is installed on any vehicle (Katulski et al., 2006, 2007) rather than attached to a dedicated van (Seakins et al., 2002), (Bogo et al., 1999).
The general trend in the field of creating instruments for air quality assessment is combining several instruments into one system and forming so called hybrid multisensor systems, controlled by a microprocessor capable of transferring the obtained data to a central station, frequently using a wireless system. In the central station, the data is collected both from single objects (houses, plants) or from larger areas. Many systems are equipped with devices for testing the sensors and for providing a diagnosis of the whole instrument. They frequently have alarms which warn the user of any dangerous situation due to the breeching of some value limit. Such systems are battery-powered and able to work continuously for several days or months.
The environments in which analyzers are used differ from the relative calm of the laboratory. Analyzers have to withstand wide ambient temperatures, fluctuations and vibrations. Due to this, many systems are completely sealed so as to operate independent of outside conditions and to be able to withstand the onslaught of monkey-wrench mechanics.
7. Description of mobile system for on-road measurements of air pollutants
The developed prototype of monitoring system consists of an original equipment measuring in motion the gaseous pollution of atmospheric air, further called ARPOL (the acronym stems from ARMAAG - Agency of Regional Monitoring of Atmosphere of Gdańsk Agglomeration and Gdańsk POLytechnic), which is designed to test the pollution of atmospheric air with the following chemical compounds: C6H6, NO2, NOx, CO and CO2. The equipment can be installed on any mobile vehicle like a bus or taxicab, relay the results of concentration measurements in air of the substances outlined above to a server which plays the role of a database, along with information on vehicle location and speed as well as the temperature and humidity of air at the measurement spot. Data transmission between the equipment and the server is effected with the use of a radio modem operating in GSM/GPRS systems.
An ARPOL monitoring station has been developed and built in the laboratory of the Department of Radiocommunication Systems and Networks at Gdańsk University of Technology. The set of commercially available gas concentration sensors in air has been selected by researchers from the Chemical Faculty of Gdańsk University of Technology and the ARMAAG Foundation. The construction of the system falls into line with requirements of the sensors and the anticipated application. In the result of decisions taken it has been established to use semiconductor (thick-film) sensors of the newest generation, made of nanostructures with grain-size distribution from 30 to 50 nm. After preliminary investigations the following sensor (all from Figaro Engineering Inc from Osaka, Japan) were chosen: TGS2442 for CO, TGS4161 for CO2, TGS823 for benzene, TGS2106 for NO2 and TGS2201 for NOx. Some of these sensors were designed for measurement of gases in ppm (parts per million, 10-6) concentration, but the concentration of NOx, CO or C6H6 in typical air condition is of the order of ppb (parts per billion, 10-9). However, comparison of results from several months of measurements proved that after proper calibration and compensation of air temperature and humidity, they were enough stable and precise for determining the sources and regions of highest pollution caused by road traffic. All of the gas concentration sensors are heated using internal heaters as a substrate for sensing structure. The temperature of substrate cannot be controlled because no temperature sensor is built in the substrate of gas-sensing element. Correction of substrate temperature change caused by change in temperature of air flowing around the sensor is made by measuring the temperature of air using additional semiconductor sensor and proper calibration equations. Proper heating of gas concentration sensors takes up to several tens of minutes. During this period results of measurements cannot be considered as a reliable results. Also any break in powering the sensors makes results unstable for some unpredictable time (up to several minutes) so monitoring device with such sensors need to provide uninterrupted heating of sensors during whole measurement campaign. Special electronic circuits ensure high sensitivity and high accuracy of measurements.
In the design of ARPOL a microcontroller of the AtMega series (supplier: Atmel Corporation from San Jose, USA) with built-in analog-to-digital converters has been used; the microcontroller circuit has been connected to a ready-made GSM/GPRS modem board (supplier: Enfora from Richardson, USA) and a GPS signal receiver (supplier: Trimble Navigation Ltd. from Sunnyvale, USA), as well as a series RS232 interface (RS232 signal converter based on Maxim chip, supplier: Maxim Integrated Products Inc. from Sunnyvale, USA) and the required additional supply circuits. The main board has been also provided with a connector for the attachment of a board with possible additional sensors not foreseen in the original design, and transoptor circuits and actuators which allow to apply control signals.
To ensure highest immunity of the equipment against shocks it was decided that the whole electronic circuitry of the main part of ARPOL will be assembled on one printed board. As some devices of the equipment (power supply circuits in particular) may heat up during normal operation, it has been decided to place all chemical sensors and the external temperature and air humidity sensors at one edge of the main board, so that the microprocessor part with power supplies could be separated in the housing from the sensors by means of an appropriate dividing partition.
The equipment has been enclosed in a housing which provides protection of the system from the influence of precipitation, while simultaneously allowing access of atmospheric air to the gas-concentration, temperature and humidity sensors. The housing permits the unit to be mounted both in a car and stationary at selected points in town. Part of the electronic board with sensors has been enclosed in a plastic channel terminated with an air in- and outlet, provided with additional “roofs” for protection from rain. In order to reduce the effect of exhaust gas of the engine the unit has forced sampling system opening towards the driving direction. To ensure an uniform air exchange, in the channel with sensors a blower has been placed, provided with revolution control – a blower failure or reduction of its efficiency resulting in a decrease of air flow in the measurement channel is registered by a microcontroller as an alarm state.
A schematic description of the operation of the mobile monitoring system (MMS) for testing and analysis of atmospheric air pollution along road traffic arteries is presented in Fig.1. This system consists of an ARPOL unit mounted on a vehicle and a WWW server in which a database for collection and processing of measurement data has been established. The values of concentration of chemical compounds polluting the atmosphere are transmitted through radio, through the mobile GSM/GPRS network and the Internet network to a WWW server located anywhere, e.g. at Gdańsk University of Technology (Gdańsk Polytechnic). There, these data are processed and verified as to their credibility. Subsequently, they are sorted according to the measurement date and, if needed, displayed on the monitor of an authorized user by a common WWW page browser.
Figure 1.
The concept of the mobile monitoring system for chemical agents control in the air.
To achieve simplicity of operation of the monitoring system, the configuration process of ARPOL unit and the WWW server is kept to a minimum. This means that this system can be implemented on a wide range of servers.
The proposed monitoring unit can be described as maintenance-free. Properly configured and set-up monitoring station can operate for several months without intervention. Information about the state of a device and possible errors in the functioning of electronic components or problems with data collection are transmitted to respective person via short messages (SMS).
8. Sensors description
Road traffic is responsible for emission of several air pollutants, the most important being nitrogen oxides (NO and NO2, together called NOx) which may harm the lungs and trigger asthma, sulphur dioxide (SO2), particulate matter (PM), carbon monoxide (CO), carbon dioxide (CO2) and volatile organic compounds (VOCs) which can contribute to the formation of secondary pollutants with different efficiencies. The measurement of particulate matter in air requires some air filtering and mass measuring during specified time which cannot be made using semiconductor sensors and is not applicable to mobile monitoring units. Other air pollutants can be measured using thick film semiconductor sensors. Prototypes of monitoring units for proposed systems use selected sensors made by Figaro:
TGS2442 – CO sensor, response: resistance of SnO2 layer on electrical insulation layer. Response time: tens of seconds;
TGS4161 – CO2 sensor, response: electromotive force which is the result of electrochemical reaction of CO2 and electrodes made of gold and lithum carbonate with cation (Na+) solid electrolyte. Response time: up to 1 minute, recovery time: up to 2.5minutes;
TGS823 – VOC sensor. This sensor reacts to the presence of several volatile organic compounds, such as: Benzene (C6H6), Ethanol, n-Hexane, Acetone, Isobutane and others, but is used mostly for detection of Benzene which is found in highest concentrations. Response: resistance of SnO2 layer, response time: tens of seconds;
TGS2106 – NO2 sensor, response: resistance of metal-oxide semiconductor layer. Response time: several seconds;
TGS2201 – NOx and CO sensor (double) used only for NOx measurement, response: resistance of metal-oxide semiconductor layer. Response time: tens of seconds.
Some of these sensors were designed for measurement of gases in ppmv (parts per million,10-6) concentration, but the concentration of NOx, CO or C6H6 in typical air condition is of the order of ppbv (parts per billion, 10-9). However, comparison of results from several months of measurements proved that after proper calibration and compensation of air temperature and humidity, they are enough stable and precise for determining the sources and regions of highest pollution caused by road traffic.
9. Air monitoring unit
Block diagram of mobile monitoring unit is presented in Fig.2. This version of measurement device is made of sensor unit, A/D converters and microcontroller to convert sensor’s electric response to gas concentrations. Microcontroller is also responsible for linking measurement results with geographic coordinates from GPS and sending these data to server using GSM/GPRS link. The interior of one of monitoring units built in Gdansk University of Technology laboratory is shown in Fig.3.
The gas concentration sensors together with temperature and humidity sensors are put inside manifold (at the top of Fig.3). Air flow inside manifold is forced by fan, which rotate speed is controlled by microprocessor because change in flow rate will change gas sensor’s substrate temperatures as air is cooling the casings of sensors.
Electrical response of gas sensors is converted into voltage signals using very high impedance operational amplifier (for EMF output) or by resistive voltage divider (for
Figure 2.
Block diagram of mobile monitoring unit.
Figure 3.
Mobile monitoring unit prototype.
resistive output). Then the signals are passing low-pass filters with cutoff frequency about 10Hz for all sensors except TGS2442 which requires pulsed resistance measurement and therefore filter cutoff frequency has to be greater than 100Hz. Additional noise-filtering is made by microprocessor which averages digital values after A/D conversion during 10 seconds period. Averaged digital values are being transmitted to server without any additional conversion. Calculation of gas concentration is made by server using nonlinear equations derived during calibration procedure. Other data sent to server in every packet are:
monitoring unit identification number;
geographical coordinates of measurement point (from GPS receiver);
speed and direction of movement (from GPS receiver);
date/time of measurement (from GPS receiver);
temperature and humidity of air in manifold;
temperature of electronic circuits outside manifold;
external or internal power supply voltage;
state of vehicle engine in case of mounting the device on car/bus;
error flags which indicate condition of monitoring unit.
Data transmission uses GPRS/EDGE radio link and TCP/IP protocol stack. To avoid writing special software at server side, data records are encoded as special HTTP request. Such requests are easily handled by PHP script and after decoding raw data records are written to MySQL database.
10. Conclusions
Polluted air negatively influences health and in some cases may even lead to death. Therefore, the issue of air quality is now a major concern for many countries which have been working to improve air quality by controlling emissions of harmful substances into the atmosphere, improving fuel quality, and by integrating environmental protection requirements into the transport and energy sectors. Despite these improvements in air quality over recent years, the problem of air pollution still remains. Therefore, more needs to be done at local, national, European and international levels.
Monitoring of air pollution is a prerequisite of air quality control and is carried out by a wide variety of analytical methods employing different measurement instruments which have different sensitivities and specificities. Monitoring plays a critical role in protecting the environment and is a key element of all actions related with the management and protection of ambient air.
According to existing law, member countries of the European Union are obliged to carry out measurements of atmospheric air cleanness and to introduce preventive measures against excessive pollution exceeding allowable threshold limits. To meet these obligations, the member countries are required to prepare inventories of zones and agglomerates where transgression of limiting norms occurs, and to prepare and introduce plans and programs how to adhere to the parameters required by law. Thus the mobile monitoring system described here, called ARPOL, unique on the national scale, can upgrade the existing system of measuring atmospheric air cleanness and facilitate taking appropriate decisions through analysis of various emission scenarios.
The developed device forms part of an expert system which undoubtedly contributes to the enhancement of ecological safety in a given area. It may be a cheap and useful tool (considering low investment and exploitation costs) for assessing ecological effects of new efforts for limiting pollutants emissions rather than for assessment of air quality. It contributes to more careful environmental planning by extending the measurement basis with information from non-stationary sources.
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Katulski, Jacek Namieśnik, Jarosław Sadowski, Jacek Stefański and Waldemar Wardencki",authors:[{id:"17168",title:"Dr.",name:"Jacek",middleName:null,surname:"Stefański",fullName:"Jacek Stefański",slug:"jacek-stefanski",email:"jstef@eti.pg.gda.pl",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Gdańsk University of Technology",institutionURL:null,country:{name:"Poland"}}},{id:"40463",title:"MSc",name:"Jaroslaw",middleName:null,surname:"Sadowski",fullName:"Jaroslaw Sadowski",slug:"jaroslaw-sadowski",email:"jaroslaw.sadowski@eti.pg.gda.pl",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"127553",title:"Dr.",name:"Waldemar",middleName:null,surname:"Wardencki",fullName:"Waldemar Wardencki",slug:"waldemar-wardencki",email:"walwarde@pg.gda.pl",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Gdańsk University of Technology",institutionURL:null,country:{name:"Poland"}}},{id:"136614",title:"Dr.",name:"Ryszard",middleName:null,surname:"Katulski",fullName:"Ryszard Katulski",slug:"ryszard-katulski",email:"ryszard_katulski1@intechweb.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null},{id:"136615",title:"Dr.",name:"Jacek",middleName:null,surname:"Namieśnik",fullName:"Jacek Namieśnik",slug:"jacek-namiesnik",email:"jacek_namienik@intechweb.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:{name:"Gdańsk University of Technology",institutionURL:null,country:{name:"Poland"}}},{id:"136616",title:"Dr.",name:"Jarosław",middleName:null,surname:"Sadowski",fullName:"Jarosław Sadowski",slug:"jaroslaw-sadowski",email:"jarosaw_sadowski@intechweb.com",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",institution:null}],sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. History of air pollution legislation",level:"1"},{id:"sec_3",title:"3. Regulated air pollutants",level:"1"},{id:"sec_4",title:"4. Characteristics of criteria air pollutants ",level:"1"},{id:"sec_5",title:"5. Air pollution monitoring networks",level:"1"},{id:"sec_6",title:"6. General characteristic of instruments for air monitoring",level:"1"},{id:"sec_7",title:"7. Description of mobile system for on-road measurements of air pollutants",level:"1"},{id:"sec_8",title:"8. Sensors description",level:"1"},{id:"sec_9",title:"9. Air monitoring unit",level:"1"},{id:"sec_10",title:"10. Conclusions",level:"1"}],chapterReferences:[{id:"B1",body:'Environmental Protection Agency2008Clean Air Act, in: U.S. Code, 03.2011'},{id:"B2",body:'World Health Organisation2000Air Quality Guidelines for Europe, 2nd edition, WHO Regional Publications European Series 91Copenhagen, 2000.'},{id:"B3",body:'European Union2008Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe, Official Journal of the European Union, 11.6.2008, L. 152/1152'},{id:"B4",body:'WHO2005 Air quality guidelines for particulate matter, ozone, nitrogendioxide and sulfur dioxide- Global update 2005Summary of riskassessment'},{id:"B5",body:'ARMAAG.Emission limits values (in Polish), 03.2011'},{id:"B6",body:'GriffinR. D.2007Principles of air quality management, Taylor & Francis Group, Boca Raton, 2007'},{id:"B7",body:'FriedrichR.ReisS.2004Emission of Air Pollutants. Springer_Verlag Berlin Heidelberg, 2004'},{id:"B8",body:'European Union1996Council Directive 96/62/EC of 27 September 1996 on ambient air quality assessment and management. Official Journal L 296, 21/11/1996 00550063\n\t\t\t'},{id:"B9",body:'WardenckiW.KatulskiR.StefańskiJ.NamieśnikJ.2008The state of the art in the field of non-stationary instruments for the determination and monitoring of atmospheric pollutants. Critical Reviews in Analytical Chemistry, 200838110'},{id:"B10",body:'BukowieckiN.DommenJ.PrevotA. S. H.RichterR.WeingartnerE.BaltenspergerU.2002A mobile pollutant measurement laboratory-measuring gas phase and aerosol ambient concentrations with high spatial and temporal resolution. Atmospheric Environment, 20023655695579'},{id:"B11",body:'GouriouF.Morin-PJ.Weill-EM.2004On-road measurements of particle number concentrations and size distributions in urban and tunnel environments Atmospheric Environment, 2004, 38 (18), 2831-2840.'},{id:"B12",body:'PirjolaL.ParviainenH.HusseinT.ValliA.HameriK.AaaltoP.VirtanenA.KeskinenJ.PakkanenT. A.MakelaT.HillamoR. E.2004Sniffer’’-a novel tool for chasing vehicles and measuring traffic pollutants. Atmospheric Environment, 20043836253635'},{id:"B13",body:'KatulskiR.StefańskiJ.WardenckiW.ŻurekJ.2006Concept of the mobile monitoring system for chemical agents control in the air, Proceedings of the IEEE Conference on Technologies for Homeland Security- Enhancing Transportation Security and Efficiency, June 7-8, 2006, Boston, USA, 181184'},{id:"B14",body:'KatulskiR.StefańskiJ.WardenckiW.ŻurekJ.2007The Mobile Monitoring System (MMS)- a Useful Tool for Assessing Air Pollution in Cities, Proceedings of the Pittsburgh Conference on Analytical Chemistry and Applied Spectroscopy PITTCON’2007, February 25March 2, 2007, Chicago, USA.'},{id:"B15",body:'SeakinsP. W.LansleyD. L.HodgsonA.HuntleyA.PopeF.2002New Directions: Mobile laboratory reveals new issues in urban air quality, Atmospheric Environment 20023612471248'},{id:"B16",body:'BogoH.NegriR. M.SanRoman. E.1999Continuous measurement of gaseous pollutants in Buenos Aires city. Atmospheric Environment, 19993325872598'}],footnotes:[],contributors:[{corresp:"yes",contributorFullName:"Ryszard J. Katulski",address:"",affiliation:'
The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2; aka. COVID-19) has led to unprecedented global responses in the attempt to limit and slow propagation of the virus. These responses included the shutdown of major manufacturing plants [1], limitations on social gatherings, travel and transportation restrictions, enacting state of emergencies, and public health measures (e.g., social distancing, use of face coverings and hygienic practices, closures of non-essential businesses and schools, and vaccine mandates) [2]. Even with the development and implementation of safe and effective vaccines, and continued efforts to prevent transmission among the public, COVID-19 has persisted in spreading globally, and new more virulent variants have evolved.
The enactment of public policy restrictions, including social distancing, travel restrictions, access to testing, and contact tracing initiatives decreased COVID-19 infection, morbidity, and mortality rates [3, 4]. Such policies and tools were especially effective in slowing transmission and reducing the strain on healthcare facilities that have been stretched beyond their typical operating capacity [5]. Many governments implemented a variety of technologies, incentives, and practices to track infection, promote vaccination, and enforce restrictions [6]. Biomolecular approaches (e.g., nucleic acid amplification tests) were also implemented to help provide quantitative numbers to investigate spread and infection rates. Altogether, these technologies were implemented to slow the spread of infection and provide strategic advice for informing public health policies.
Unfortunately, economic recovery from the COVID-19 pandemic has been slow, primarily due to supply chain disruptions that have led to low inventories, employment layoffs, and reductions in industrial production and services [1]. Furthermore, as restrictions began to ease, formerly constrained demand for consumer goods surged beyond manufacturing capacity. With diminished inventory and a weakened shipping industry, recovery was slow, and meeting consumer demand became challenging [7]. The demand for antiseptics and medical supplies increased significantly while supply chain constraints intensified. Faced with shortages governments and municipalities implemented impromptu solutions for increasing regional production of much needed hand sanitizers [8]. One effective response was the introduction of legislation that allowed the use of lower-grades of ethanol (often technical-grade ethanol) in the formulation of disinfectant and sanitizing products [8, 9, 10].
As the COVID-19 pandemic waned and vaccination limited the severity of viral infection, many governments removed restrictions and opted for more permissive policies that allowed citizens to live with a higher risk of contracting the virus. Health policies designed to reduce transmission among the public were mitigated or ceased altogether. With the implementation of gradual re-opening measures in many countries, policies defining travel restrictions, social distancing, facial coverings, etc. were removed through the 2nd, 3rd, and 4th quarters of 2021, and first quarter of 2022 [2]. Direct monitoring methods for COVID-19 (e.g., contact tracing and biomolecular tests) were also removed during the relaxation of restrictions. For example, Germany ceased free covid testing in August of 2021 with the acknowledgement that testing was both expensive and specifically benefitted the unvaccinated [11]. Currently, many monitoring methods have now targeted wastewater-based epidemiology (WBE) studies to survey the spread of infection in different communities [12, 13, 14, 15, 16, 17, 18]. Although these methods can provide early detection [19, 20, 21, 22], interpretation of data can be limited in scope when compared with testing of populations, as is discussed below.
Finally, with continued policy changes, the economic recovery due to the COVID-19 pandemic has been slow. GDP dropped sharply across the globe at the start of the pandemic but rebounded somewhat shortly after. Global GDP at the end of 2020 was only a few percentage points less year-over-year than at the end of 2021 [23]. Worldwide merchandise trade decreased significantly, while trade of medical goods increased. Nearly all industries managed to recover by the end of 2021, with transportation & warehousing, tourism, and live entertainment-based industries having yet to return to pre-pandemic levels [24, 25]. Late pandemic supply chain disruptions have shown that pre-pandemic conditions have not returned [26, 27]. With continued risk of future supply-chain catastrophes, some in business are moving to models that develop localized value chains. The purpose of this book chapter is to discuss and review the impacts of COVID-19 on public policy, health measures, economic disruptions, and the importance of surveillance methods for the early detection of infections.
2. Economic disruptions and supply chain shortages, including ethanol-based products
The economic contraction that occurred during the COVID-19 pandemic affected global markets in 2020, 2021, and into 2022. Prominent among economic challenges were supply chain disruptions, which broadly impacted the delivery of goods and services. For example, manufacturers, builders, and retailers had reduced or delayed access to input materials, building materials, and stock items [9, 26]. Sales sharply decreased as pandemic-related restrictions were introduced in March 2020 which led to an excess of inventory. In some cases, this inventory was written off or liquidated. In later stages of the pandemic in 2021–2022, economic recovery placed additional stress on markets. Manufacturing industries halted or reduced output, canceled orders, and reduced reorders which led to manufacturing that was retooled or refocused to provide goods that were in high demand [26].
Among supply shortages, much of the world’s consumers and businesses had challenges acquiring antiseptics such as rubbing alcohol, hand sanitizer, antiseptic wipes, and surface disinfectants at the beginning of the pandemic, which was exacerbated by consumer hoarding [9]. Due to the circumstances of limited world-wide supply of United States Pharmacopeia (USP) or Food-Chemicals Codex (FCC) grade ethanol, Canada modified acceptance criteria to include ethanol that was produced by alternative methods with specific label and usage requirements [28]. Health Canada expedited processing of Site Licenses and Product Licenses for hand sanitizer manufacturing and sales and waived the need for a review of good manufacturing practices (GMP) for new manufacturers, requiring only a signed declaration instead of the usual full GMP documentation [29]. Hand sanitizer supply expanded quickly with the new regulations, and shortages were rapidly addressed. Unfortunately, many producers failed to meet quality standards for ethanol as defined by new regulations [9]. In addition to supporting production of hand sanitizer, Health Canada expedited applications for Drug Identification Numbers (DIN) allowing the sale of surface disinfectants [30].
Worldwide lockdowns contributed to production and acquisition challenges by exacerbating industry down-time and supply-chain shortages, leading to cascading delays [26]. For many businesses the early response to Covid was a strategic long-term decrease in production achieved by layoffs, and a reduction of parts and other inputs (e.g., semiconductors for automakers) [26]. The shipping industry followed this pattern by reducing schedules.
After lockdown restrictions began to ease there was an unanticipated surge of product orders, combined with reduced capacity, making responding to new demand difficult [1]. Many laid off workers decided not to return to their positions through resignation, and retirement. These social factors lead to a labour shortage [31, 32]. In Canada the unemployment rate increased to 9.5%. This represents the loss of almost one million jobs in 2021 [23]. In the United States of America (U.S.A.) record numbers of resignations occurred in 2021, with 4.4 million workers resigning [33]. Employee resignations occurred for multiple reasons: while some workers planned to avoid potential workplace COVID-19 infection (Delta and Omicron variants), others were faced with lifestyle choices related to the epidemic and other pandemic-related stresses, such as reduced availability of childcare and elder care services [33]. Indeed, a large cohort of “baby boomers” simply chose to retire. Continuing resignations required extra resources used in hiring, onboarding and offboarding, thereby decreasing the efficiency of businesses and further contributing to industrial disruptions [33]. The job market became increasingly competitive with a new human resource focus on retention strategies [33].
Any business with a complex supply chain was susceptible to production backlogs, which resulted in backorders of inputs and delayed product shipments [23]. Freight costs more than doubled by the end of 2020, with smaller businesses being impacted more significantly, receiving lower priorities due to lower volume orders and higher shipping rates than larger companies with long-term contracts [34]. Tourism-based industries, such as hotels, restaurants, the arts and entertainment, recreation, and travel, diminished quickly when stay-at-home measures were put in place to limit COVID-19 transmission [23]. Once public health measures were lifted, there was a record number of job openings in 2021 due to the quick rise in job availability from impacted industries returning to regular business operations [23]. Through 2021, tourism-based industries exhibited the slowest recovery since the beginning of the pandemic, with transportation and warehousing as the next slowest, showing 16% below pre-pandemic GDP levels in Canada from February 2020 to January 2022, whereas most other industries achieved full GDP recovery [24].
To add to the economic challenges caused by the pandemic, the state of Texas had temperatures dip below freezing with snowfall in late February 2021 [35]. Chemical and petrochemical supply chains were heavily affected, as Texas is the nation’s leading producer, and this extraordinary weather system caused major disruptions across the state [35]. Manufacturing facilities in these industries took months to recover [35] and as a result, industries involving plastics, packaging, fertilizers, pesticides, synthetic fibers, cleaners, lubricants, paint, and many more were affected by reduced supply in a market that was already suffering from supply backlogs [35].
In the U.S.A., high demand for import shipments quickly created a shortage of drayage vehicles and drivers while freight value moved by all transport vehicles fell 9.1 percent year over year from 2019 to 2020 [26, 34]. Although this year-over-year decrease is significant, it does not show the extreme swing of GDP in the first three quarters of 2020 as compared between Figures 1 and 2. Exports from Canada to the U.S.A. decreased by 70 billion dollars (16%) and imports by 43 billion dollars (11%) [23]. By the end of 2020 the U.S.A. and Canadian economies saw an overall contraction, despite significant recovery in the third quarter, owing to significantly decreased trade between U.S.A. and Canada [23, 25].
Figure 1.
GDP growth expressed in % change year-over-year. Reconstructed from [36].
Figure 2.
GDP growth expressed in % change quarter-over-quarter. Reconstructed from [37].
Worldwide merchandise trade decreased by 7% in 2020 [38], while the trade of medical goods increased, as demand for PPE (personal protective equipment) and other medical items (ventilators, AEDs, various consumables, drugs) escalated [39]. The first lockdown (and economic contraction) started in China, with lockdowns occurring months before those enacted elsewhere in the world [2]. This afforded China the ability to experience an economic expansion in the 2nd quarter of 2020, as seen in Figure 2.
Despite the short-term risks of using a lean, or ‘just-in-time’ approach to doing business, economists see value in maintaining its use [40]. It is possible that the economy may have maintained stability for a longer period if it had used more supply reserves, but the supply required to outlast the continued demand would have been insurmountable in many cases, as any physical product requires a reliable influx of materials to match output; a larger stock merely acts as a longer-lasting buffer to ease supply shock.
Figure 3.
Global figures of new deaths from February 1, 2020, to may 15, 2022. New COVID-19 deaths reported show patterns of repeated waves of outbreaks across the world as the pandemic progressed. Reconstructed from [46].
Economists have been analyzing and formulating potential solutions to avoid economic contractions like those experienced in 2020 [41]. It has been speculated that putting less reliance on international supply chains and focusing on more local value chains might increase economic loss and create more vulnerabilities in domestic economies [39]. Each country has their own specialized industries and products and continued association to these markets allows for optimal economic gains. In contrast, this interconnectivity also increases the potential negative impacts resulting from global supply chain issues, suggesting a need for more economic self-sufficiency [27]. Relying on a globalized economy may show some benefit, but only in the long-term, and such reliance leaves industries in a vulnerable position in the case of worldwide or specific supplier-affecting disruptions, especially for businesses with complex supply chains.
3. Public healthcare policies
The onset of the COVID-19 pandemic in early 2020 forced governments across the globe to act quickly to reshape public health policy. A major effort to alleviate the stress on health care was described as a “flatten the curve” strategy, but ultimately this approach recognized that the spread of the virus could be slowed but not stopped [42]. Indeed, the spread of the virus continued throughout 2021, and into 2022. In response, governments, health care agencies, and private industries have continued to enact public health measures to mitigate the spread of the virus and its effects. Public health measures have included mandating behavioral practices (social distancing, limited gathering sizes, etc.) [43], use of hygienic products (hand sanitizers, masking) [9], travel restrictions [44], and modifications to the delivery of health care services (online doctors’ visits, postponement of elective surgery) [45]. Rates of COVID-associated morbidity and mortality are proportional to the amount of circulating COVID-19 virus within a population, and as of May 2022, total COVID-19 associated deaths are estimated to be more than 6.27 million [46]. This staggering loss of human life highlights the necessity of effective public health policy to minimize infection. Multiple peaks of global COVID-19 deaths were observed from 2022 to 2022. Such waves were often preceded by lower case numbers which, in turn, can cause complacency among the public. However, the emergence of increasingly contagious strains of COVID-19, such as the Delta and Omicron variants, make the pandemic likely to continue into the foreseeable future (Figure 3).
The COVID-19 pandemic has had devastating and lasting effects on the health care system. The resulting increase in hospitalization rates and diminished resources available to treat patients has added significant burden to an already strained system. Policies designed to increase available ventilators [47], intensive care unit (ICU) beds [48], access to COVID-19 testing kits, and vaccination have been important tools that governments have enacted to fight the ongoing pandemic and minimize loss of life. Unfortunately, policies cannot address the immediate need for additional health care workers as it takes many years of training and specialization to care for patients, especially those in critical care settings [49].
To combat avoidable and unnecessary hospitalizations, well-enforced behavioral policies, such as social distancing and face masks, are often quickly enacted, as they do not overly disrupt economic and social systems and have demonstrated effectiveness in reducing transmission [50]. Reducing viral transmission via face-to-face interactions leads to an overall decrease in hospitalization rates. Most critically, this reduction extends to those who are at the highest risk for COVID-associated morbidity and mortality, such as individuals with underlying health care issues and patients over the age of 65 [51]. Public policy involving social distancing has taken various forms, ranging from severe restrictions on personal movement, to limited or no restrictions at all. Importantly, travel restrictions and encouragement of virtual or teleworking, helps limit travel and public contact, something that many in the workforce were able to do effectively during the COVID-19 pandemic [51, 52, 53]. Teleworking practices have the added benefit of reducing non-essential travel both internationally and domestically, which delays transmission of the virus. Indeed, there is strong evidence that restrictions on international travel from countries with high infection rates helps in slowing the spread of COVID-19 [44]. To eliminate avoidable public transmission, China imposed drastic lockdowns as outbreaks emerged throughout the country, including restricting travel from other nations, and between regions [54]. Chinese restrictions extended to include the separation of family members in the case of diagnosed infections. India suffered devastating infection rates during April and May of 2021 and imposed district specific restrictions during the second wave of infections to help mitigate the spread through densely populated regions [55]. In the United States and Canada, restrictions and guidelines varied significantly from region to region, owing to local policies, population density, and infection rates. Evidence in the United States suggests that stricter enforcement of public policy measures is likely linked to lower infection rates [56], while sudden, removal of restrictions has led to additional outbreaks [55, 57, 58]. Many governments chose to enact “phases” of restrictions, which lead to gradual policy changes intended to ease the stress on both public and private health care systems by controlling the total number of cases.
Hygienic methods such as hand washing, use of sanitizers, and implementation of personal protective equipment (PPE) have also been shown to be effective at reducing transmission of the COVID-19 virus. Although hand washing is a highly effective practice, the use of hand sanitizers was found to be substantially more convenient than hand washing. The resulting high demand for alcohol-based sanitizers, as well as other essential supplies, led to global shortages [9, 59]. The consequences of these shortages are still being studied, but food and supply scarcities are likely to cause an increase in prices, which disproportionately affect those with lower socioeconomic status [60]. To try and combat shortages, governments have encouraged sourcing from local suppliers while trying to minimize disruptions to essential imports. Even so, supply chain issues can be particularly challenging in rural populations where food security is already an issue [61].
Large, population-scale testing was implemented as a major intervention strategy to manage COVID-19 infections across the world as community infections increased. Improved access to testing allows for earlier identification of infections, encouraging individuals to self-quarantine and slow the spread of COVID-19. However, difficulties in acquiring testing methods, and significant delays in obtaining results, were frequent criticisms of large-scale testing efforts [62]. If wait times for testing are exceedingly long, individuals are less likely to test. Likewise, the longer the wait between preforming a test and obtaining the results, the less likely an individual will isolate, particularly if they are asymptomatic [63]. Mass testing can be costly, and so testing of health-care workers, symptomatic individuals, and those who are at risk of serious health complications are prioritized. Further exacerbating testing issues was a shortage of reagents, which caused supply chain issues and contributed to the wide disparities of testing rates between countries [64, 65]. A proposed solution to reduce the use of testing supplies is the pooling of samples, allowing for multiple individuals to be tested simultaneously by combining samples and testing with a single reaction. If the result from the pooled samples is negative, then all subsequent individuals are considered negative. However, if a positive result is observed, then individuals are tested separately, reducing the strain on the testing process. Remarkably, Chinese authorities in the city of Qingdao were able to test over seven million people over the course of three days using the method of pooling samples [66]. While the pooling method has demonstrated efficiency, there are limitations to the technique, including the need for relatively low positivity rates, longer reporting delays [63], and a reduction in test sensitivity [67]. Another frequently used method to determine community positivity rates is the testing of wastewater, which can predict general infection rates and is discussed in greater detail below.
Restrictions stemming from public policies can have far reaching impacts, and so constraints and policy changes must be carefully considered to prevent unnecessary disruptions to the economy, crucial supply chains, and earnings by those who are disproportionately affected by the pandemic [68]. Throughout the COVID-19 pandemic, health care experts have advocated for the enactment and enforcement of public health policies, imposing restrictions on social distancing, face coverings in public settings (especially where social distancing may not be possible), respiratory hygiene, and, where necessary, lockdowns [69]. There is evidence that demographic factors such as race, gender, and socioeconomic conditions play a role in transmission, contraction, and overall mortality rates and so not all measures are equally effective [51, 70, 71]. Critically, stay at home orders have adverse effects on supply chain issues, employment, and mental health [72, 73]. Research has shown that the practice of social distancing has caused negative impacts on isolation [74], family stresses [75], domestic violence [76], consumption of alcohol [77], and mental health [78], and so preventative and behavioral policies should be considered before major shutdowns of schools, businesses, and strict stay at home orders are enforced. Many factors play a role in COVID-19 related infections, and government policies should be careful to consider the effectiveness, financial costs, and negative outcomes associated with the policy enforcement. The development and distribution of safe and effective vaccines has helped to reduce the number of deaths and the pressures on hospital systems [79], however higher vaccination rates are concentrated in higher income countries, and vaccination hesitancy, along with the emergence of new more virulent COVID-19 variants, can slow development of broad spread immunity [80]. The consequence of the continued spread of the virus indicates that the COVID-19 pandemic is likely far from over, and public policies will serve as an effective tool in reducing transmission in the future.
4. Infection tracking and surveillance
A variety of technologies have emerged to alleviate the temporal and social restrictions brought on by the COVID-19 pandemic. These include the use of artificial intelligence (medical tracking), social media platforms (creating awareness of infections and providing real-time updates), virtual and augmented reality communications, blockchain (integration of point-of-care diagnostics for self-testing), additive manufacturing (production of personal protective equipment), 5G cellular technology and smart applications (remote monitoring of COVID-19), geographical information systems (spatial tracking of COVID-19), and autonomous robots (use of drones for disinfection) [6]. These valuable technologies provided critical information regarding COVID-19 and offered alternative communication means for health-related and employment-related meetings.
To manage the spread of COVID-19, other unprecedented techniques were adopted including contact tracing and the use of digital technologies [3, 4] as well as initiatives to provide early detection, monitoring efforts, and surveillance technologies. These technologies were introduced to slow and contain the spread of COVID-19 and provide advisory bodies important details in making informed public health strategies to combat the virus.
Contact tracing involves the identification of individuals who have come into close contact with an infected person, testing them, and, in case of an infection, tracing their own contacts to reduce the spread of an infection throughout a population [81]. Unfortunately, traditional manual contact tracing is labor-intensive, time-consuming, and may not be adequate in monitoring for COVID-19 in real time, especially in the instance of high infection rates [82]. Consequently, the development of digital tracking apps, including contact tracing apps (CTAs), have garnered attention in early detection by combining proximity tracing and contact tracing [3]. These novels CTAs, such as Canada’s COVID Alert app [83], rely on self-reporting from infected individuals, as well as the implementation of Bluetooth connectivity to measure and record the spatial proximity between users, and alert nearby persons if they are within proximity to an infected individual [3]. Unfortunately, these applications are technologically limited as they can raise privacy concerns and older smartphones may not be compatible. Digital applications such as CTAs can also exacerbate inequities, such as age and income discrepancies in accessing smartphones, which can ultimately lead to a decline in CTAs effectiveness in preventing the spread of COVID-19 [3]. Another unforeseen occurrence resulting from the use of CTAs comes from a significant increase in the volume of people who receive notifications after being in close proximity of a COVID-19 positive individual. A dramatic surge of notifications was observed by contact tracing apps in the UK in July 2021, where the total number of individuals notified increased by nearly 50% in a single week. This surge in CTA alerts resulted in what was coined the “pingdemic” and required those affected to self-isolate for 10 days [84]. This caused significant consequences for many industries, including manufacturing and hospitality, as hundreds of thousands of individuals were required to stay home, leading to the shutdown of several production lines [84].
With the gradual lifting of social and travel restrictions, and the reopening of borders, access to PCR testing for COVID-19 has subsided and measuring an accurate clinical picture of the spread of the virus has become increasingly more difficult [85]. This has, however, paved the way for wastewater testing to play an increasingly critical role in monitoring for COVID-19 transmission within communities [85]. Currently, there are 5 genes that have routinely been used to screen for the presence of COVID-19. These include the ORF1ab, E-, N-, S-, and the RNA dependent RNA polymerase (RdRp) genes [86, 87, 88], encoding for numerous structural and non-structural proteins. Specifically, the RdRp gene is essential for the replication and transcription of the virus, and is encoded by the open reading frame, ORF1ab gene. In addition, ORF1ab is the largest gene that encodes for several nonstructural proteins [89]. Meanwhile, The E-, N-, and S- genes encode for structural proteins including, envelope proteins, nucleocapsid proteins, and spike proteins, respectively [90, 91, 92].
Recently, WBE studies have been employed to monitor the spread of COVID-19. Wastewater infrastructure is an important component of early warning systems to detect disease, due to increased water usage for hygienic purposes (hand washing, disinfection, cleaning, etc.) [19]. As COVID-19 and viral RNA are shed in bodily excreta (saliva, feces, sputum) of infected individuals [93], detection in wastewater [94] can provide early warnings and infer trends for authorities to make informed decisions on public policies and restrictions [19, 20, 21, 22].
WBE studies [16, 17] have been used in several countries including Italy, Netherlands, Portugal, Spain, Australia, China, France, Israel, United States, Turkey, and Canada [12, 13, 14, 15]. These studies typically involve the extraction of viral RNA material and amplifying the nucleic acid to detect the presence of COVID-19 (i.e., Nucleic acid amplification tests; NAATs, quantitative polymerase chain reaction; qPCR, reverse transcriptase PCR; RT-PCR, etc.) [95], and are important in evaluating the spread, genetic diversity, and geographic distribution of the virus [94, 96]. WBE modeling can be used to provide an estimate on the number of infected individuals in a population based on: (1) concentration of COVID-19 RNA at the inlet of the wastewater treatment plant, (2) volumetric flow rate of the wastewater treatment plant, (3) fecal load, (4) RNA shedding in the stool, and (5) RNA losses in the sewer pipe [97]. For the sensitive detection of viruses in wastewater, samples are often concentrated before quantification [98, 99]. For the surveillance of COVID-19, wastewater samples are often concentrated using centrifugation [100], filtration [101, 102, 103, 104, 105], polyethylene glycol precipitation [103, 106, 107], or aluminum flocculation [108, 109]. Unfortunately, RNA extraction efficiency can vary due to co-concentration of organic compounds (e.g., humic substances) [12]. Recent studies of COVID-19 in wastewater have also observed viral recoveries between 3 and 50% [12], although calibration against RNA losses in the wastewater can provide improved accuracy [97]. Nonetheless, these techniques have demonstrated reliability in identifying the true magnitude of infection within a population [97] and have been widely used to monitor for early detection of novel viral pathogens [110, 111, 112, 113], including enterovirus, adenoviruses, hepatitis viruses, and more recently COVID-19. As WBE assesses changes in SAR-CoV-2 titres, these studies collectively include asymptomatic individuals, as well as those exhibiting very mild symptoms. Unfortunately, translation of COVID-19 titres in wastewater to actual individual numbers is extremely difficult. Therefore, these analyses are typically used to infer the spread of COVID-19 within a community and monitor for the emergence of related variants.
While PCR tests performed on wastewater samples are identical to those performed at COVID-19 clinics, the N- and E-genes are more commonly targeted as they are more well-preserved in wastewater [85]. However, there are challenges with wastewater testing, including variability of the data produced by each sample which can produce a significant margin of error [85]. Furthermore, the operations and designs among different wastewater treatment facilities can result in varying dilutions of the tested samples, thus affecting signals of COVID-19 in the wastewater [114, 115]. For example, in some facilities, rainfall may combine with wastewater, resulting in the dilution of COVID-19. Additionally, residential, and industrial water uses can affect COVID-19 signals in municipal wastewater. Therefore, comparing COVID-19 levels between different communities, cities, health regions, etc. is very difficult and wastewater analyses for COVID-19 should be primarily used to establish trends in COVID-19 prevalence, rather than determining an absolute concentration or comparing to active cases in the community; active cases may not include asymptomatic individuals, whereas wastewater analyses will.
Altogether, wastewater surveillance of COVID-19 provides a powerful tool in evaluating incidences of disease at the community level. However, WBE studies also need to be integrated into other public health studies, such as randomized testing of individuals. Current data on COVID-19 and other viruses suggest that WBE epidemiology is a viable option in assessing and mitigating viral outbreaks [12, 13, 14, 15, 16, 17]. The widely used q(RT)-PCR approach enables rapid and strain level RNA/DNA quantification, however, the primers and probes should be chosen carefully, depending on sequence preservation [90, 91, 92]. Finally, targeted, and untargeted sequencing of viruses in wastewater has the potential to track the spread of specific sequence variants and identify mutations that could affect detection in clinical settings [12] and provide early detection for emergence of novel strains.
5. Conclusion
The COVID-19 virus has continued to adapt and persist beyond 2020 and will likely continue in some form for years to come. Learning from the continued spread of this deadly virus is critical, and responses by governments to the global spread of COVID-19 has continuously adapted to new challenges and developing information. The consequences of the pandemic cannot be underestimated and has caused serious impacts on the global economy and healthcare capacity, as well as the physical and mental health of the public. COVID-19 associated morbidity and mortalities continue to climb across the world, even with the distribution of effective vaccines. Indeed, as travel restrictions are slowly lifted across the globe, the implementation of public health policies and expanding access to tracking the spread of the virus are powerful tools for minimizing unnecessary hospitalizations.
The world economy has suffered because of the pandemic, but only in part, as many countries enacted polices to prevent total recession, and some economies have even exhibited financial benefit. Specialized industries have yet to recover fully in 2022, and some businesses have been disproportionately impacted, owing to the challenges of public restrictions throughout 2020 and 2021. As major public restrictions begin to relax, many unrecovered industries can be expected to see continued economic improvements.
Having established efficient ways of tracking the COVID-19 virus through technological and biomolecular methods (e.g., nucleic acid amplification tests and WBE studies), governments around the world will be better prepared in surveying for future diseases of concern. Furthermore, with economists working on restructuring modern practices in supply-chain management, the world economies will be better prepared in the coming years to avoid similar challenges that are still prevalent two years into the pandemic.
Acknowledgments
This work was supported by the Saskatchewan Agricultural Development Fund (20190155, 20190154, 20180281, 20180248, 20180255, 20170133); National Sciences and Engineering Research Council of Canada Discovery Grant (RGPIN-2018-06631); and Mitacs (IT19122, IT16156).
Conflict of interest
Dr. Martin J. T. Reaney is the founder of, and has an equity interest in, Prairie Tide Diversified Inc. (PTD, Saskatoon, SK, Canada: previous company name is Prairie Tide Chemicals Inc.).
\n',keywords:"COVID-19, public policy, monitoring methods, hand sanitizer, surface disinfectant, pandemic",chapterPDFUrl:"https://cdn.intechopen.com/pdfs/82939.pdf",chapterXML:"https://mts.intechopen.com/source/xml/82939.xml",downloadPdfUrl:"/chapter/pdf-download/82939",previewPdfUrl:"/chapter/pdf-preview/82939",totalDownloads:5,totalViews:0,totalCrossrefCites:0,dateSubmitted:"June 6th 2022",dateReviewed:"June 10th 2022",datePrePublished:"August 4th 2022",datePublished:null,dateFinished:"August 4th 2022",readingETA:"0",abstract:"Transmission of the severe acute respiratory syndrome coronavirus 2, referred to as COVID-19, has persisted beyond 2020 and led to a global pandemic with far reaching consequences. Many changes in public policy and health measures were developed and implemented with the intention of slowing the spread of the novel virus. Disruptions from the global pandemic created major supply chain consequences due to stockpiling of essential goods (alcohol-based hand sanitizers and surface disinfectants), impacts on trade routes, and limitations on modes of transportation due to border closures. Rapid increase in the use of hand sanitizers and surface disinfectants significantly affected the production capacity of high-quality ethanol (e.g., USP and FCC grade) resulting in regulatory changes in countries facing shortages. Prompt enactment of government policies allowed for use of alcohol with higher impurities to offset heightened demand and increase commercial availability. Changes in monitoring methods were also observed, where many agencies began to track viral shedding through municipal wastewater. In this chapter, we will discuss the impacts of COVID-19 on public policies and health measures, economics as it relates to supply chain disruptions, and the implementation of novel monitoring methods to survey the spread of COVID-19.",reviewType:"peer-reviewed",bibtexUrl:"/chapter/bibtex/82939",risUrl:"/chapter/ris/82939",signatures:"Timothy J. Tse, Farley Chicilo, Jeffrey Popiel and Martin J.T. Reaney",book:{id:"11661",type:"book",title:"Zoonoses of Public Health Interest",subtitle:null,fullTitle:"Zoonoses of Public Health Interest",slug:null,publishedDate:null,bookSignature:"Dr. Gilberto Antonio Bastidas Pacheco",coverURL:"https://cdn.intechopen.com/books/images_new/11661.jpg",licenceType:"CC BY 3.0",editedByType:null,isbn:"978-1-80356-114-1",printIsbn:"978-1-80356-113-4",pdfIsbn:"978-1-80356-115-8",isAvailableForWebshopOrdering:!0,editors:[{id:"238219",title:"Dr.",name:"Gilberto Antonio",middleName:null,surname:"Bastidas Pacheco",slug:"gilberto-antonio-bastidas-pacheco",fullName:"Gilberto Antonio Bastidas Pacheco"}],productType:{id:"1",title:"Edited Volume",chapterContentType:"chapter",authoredCaption:"Edited by"}},authors:null,sections:[{id:"sec_1",title:"1. Introduction",level:"1"},{id:"sec_2",title:"2. Economic disruptions and supply chain shortages, including ethanol-based products",level:"1"},{id:"sec_3",title:"3. Public healthcare policies",level:"1"},{id:"sec_4",title:"4. Infection tracking and surveillance",level:"1"},{id:"sec_5",title:"5. Conclusion",level:"1"},{id:"sec_6",title:"Acknowledgments",level:"1"},{id:"sec_9",title:"Conflict of interest",level:"1"}],chapterReferences:[{id:"B1",body:'Loss Prevention Magazine. The Global Supply Chain Crisis: What Happened and When Will it End? [Internet]. 2022. Available from: https://losspreventionmedia.com/the-global-supply-chain-crisis/?msclkid=bf2bd13dc4c311ec9f713df83beb1b9f [Accessed: May 21, 2022]'},{id:"B2",body:'Hale T, Angrist N, Goldszmidt R, Kira B, Petherick A, Phillips T, et al. A global panel database of pandemic policies (Oxford COVID-19 government response tracker). Nature Human Behaviour. 2021;5:529-538. DOI: 10.1038/s41562-021-01079-8'},{id:"B3",body:'Klar R, Lanzerath D. The ethics of COVID-19 tracking apps – Challenges and voluntariness. Research Ethics. 2020;16:1-9. 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This change influences one another at various temporal and spatial scales; however, improper land uses are the primary causal factor on climate change. It studies relevant literature and Nepal’s case to assess the relationship between land use and climate change. Similarly focuses on how land-use impacts climate change and vice versa. In recent centuries land-use change significant effects on ecological variables and climate change. Likewise, understanding the research on both topics will help decision-makers and conservation planners manage land and climate.",book:{id:"10754",slug:"the-nature-causes-effects-and-mitigation-of-climate-change-on-the-environment",title:"The Nature, Causes, Effects and Mitigation of Climate Change on the Environment",fullTitle:"The Nature, Causes, Effects and Mitigation of Climate Change on the Environment"},signatures:"Pawan Thapa",authors:[{id:"349566",title:"M.Sc.",name:"Pawan",middleName:null,surname:"Thapa",slug:"pawan-thapa",fullName:"Pawan Thapa"}]},{id:"50282",title:"Relation Between Land Use and Transportation Planning in the Scope of Smart Growth Strategies: Case Study of Denizli, Turkey",slug:"relation-between-land-use-and-transportation-planning-in-the-scope-of-smart-growth-strategies-case-s",totalDownloads:4667,totalCrossrefCites:0,totalDimensionsCites:1,abstract:"In the decision-making process of planning residential areas in developing countries, importance of the commercial areas and need for a sustainable urban transportation infrastructure have generally been ignored based on several sociopolitical reasons. Meanwhile, decision-making periods of location choice and determining areal densities are conducted without quantitative spatial/technical analyses. Those urban matters bring along new planning paradigms like smart growth (SG) and new urbanism. SG is a land use planning paradigm which indicates that traffic problems should be minimized by transit alternatives, effective demand management and providing a balance between land use and transportation planning. This study aims to apply SG strategies to the land use planning process and evaluate the accuracy of land use planning decisions in the perspective of sustainable transportation. In order to reveal the effects of land use planning decisions on the available transportation infrastructure, two scenarios are investigated for 2030. In the first scenario “do nothing” option is considered, while the residential area densities and trip generation rates are regulated based on SG strategies in the second scenario. The results showed that the land use and traffic impact analyses should simultaneously be conducted before land use configuration process.",book:{id:"5235",slug:"sustainable-urbanization",title:"Sustainable Urbanization",fullTitle:"Sustainable Urbanization"},signatures:"Gorkem Gulhan and Huseyin Ceylan",authors:[{id:"182126",title:"Dr.",name:"Gorkem",middleName:null,surname:"Gulhan",slug:"gorkem-gulhan",fullName:"Gorkem Gulhan"},{id:"185555",title:"Dr.",name:"Huseyin",middleName:null,surname:"Ceylan",slug:"huseyin-ceylan",fullName:"Huseyin Ceylan"}]},{id:"42926",title:"Disaster Risk Management and Social Impact Assessment: Understanding Preparedness, Response and Recovery in Community Projects",slug:"disaster-risk-management-and-social-impact-assessment-understanding-preparedness-response-and-recove",totalDownloads:10045,totalCrossrefCites:3,totalDimensionsCites:11,abstract:null,book:{id:"3364",slug:"environmental-change-and-sustainability",title:"Environmental Change and Sustainability",fullTitle:"Environmental Change and Sustainability"},signatures:"Raheem A. Usman, F.B. Olorunfemi, G.P. Awotayo, A.M. Tunde and\nB.A. Usman",authors:[{id:"156875",title:"Dr.",name:"Usman A",middleName:null,surname:"Raheem",slug:"usman-a-raheem",fullName:"Usman A Raheem"},{id:"166449",title:"Dr.",name:"A.M",middleName:null,surname:"Tunde",slug:"a.m-tunde",fullName:"A.M Tunde"},{id:"167886",title:"Dr.",name:"F.B.",middleName:null,surname:"Olorunfemi",slug:"f.b.-olorunfemi",fullName:"F.B. Olorunfemi"},{id:"167887",title:"Dr.",name:"G.P.",middleName:null,surname:"Awotayo",slug:"g.p.-awotayo",fullName:"G.P. Awotayo"}]}],onlineFirstChaptersFilter:{topicId:"136",limit:6,offset:0},onlineFirstChaptersCollection:[{id:"82644",title:"Climate-Driven Temporary Displacement of Women and Children in Anambra State, Nigeria: The Causes and Consequences",slug:"climate-driven-temporary-displacement-of-women-and-children-in-anambra-state-nigeria-the-causes-and-",totalDownloads:28,totalDimensionsCites:0,doi:"10.5772/intechopen.104817",abstract:"With increasing periods of extreme wet seasons, low lying geographic position, with socioeconomic, and political factors; some communities in Anambra State, Nigeria experience heightened floods annually resulting in loss of shelter, displacement of people with breakdown of livelihoods, particularly in rural communities worsening their risks and vulnerabilities. In 2012, a major flood event in the state temporarily displaced about 2 million people. In this chapter, we used a community-based adaptation approach to investigate the causes and consequences of climate-related temporary displacement on community members in Ogbaru LGA, Anambra State following flood events. We used global positioning system to obtain the community’s ground control points and gathered our data via field observation, transects walks, focus group discussions, photography, and in-depth interviews. Our findings reveal a heightened magnitude of flood related disasters with decreased socio-economic activities, affecting their health and well-being. Also, the community members have a practice of returning to their land, after flood events, as a local mitigating risk management strategy. For multilevel humanitarian responses at the temporary shelter camps, it becomes imperative to meaningfully engage the community members on the challenging risks and vulnerabilities they experience following climate-driven temporary displacement to inform adaptation and resilience research, policy change and advocacy.",book:{id:"7724",title:"Climate Change in Asia and Africa - Examining the Biophysical and Social Consequences, and Society's Responses",coverURL:"https://cdn.intechopen.com/books/images_new/7724.jpg"},signatures:"Akanwa Angela Oyilieze, Ngozi N. Joe-Ikechebelu, Ijeoma N. Okedo-Alex, Kenebechukwu J. Okafor, Fred A. Omoruyi, Jennifer Okeke, Sophia N. Amobi, Angela C. Enweruzor, Chinonye E. Obioma, Princess I. Izunobi, Theresa O. Nwakacha, Chinenye B. Oranu, Nora I. Anazodo, Chiamaka A. Okeke, Uwa-Abasi E. Ugwuoke, Uche M. Umeh, Emmanuel O. Ogbuefi and Sylvia T. Echendu"},{id:"79637",title:"Evaluation of the Spatial Distribution of the Annual Extreme Precipitation Using Kriging and Co-Kriging Methods in Algeria Country",slug:"evaluation-of-the-spatial-distribution-of-the-annual-extreme-precipitation-using-kriging-and-co-krig",totalDownloads:54,totalDimensionsCites:0,doi:"10.5772/intechopen.101563",abstract:"In this chapter, we have conducted a statistical study of the annual extreme precipitation (AMP) for 856 grid cells and during the period of 1979–2012 in Algeria. In the first step, we compared graphically the forecasts of the three parameters of the generalized extreme value (GEV) distribution (location, scale and shape) which are estimated by the Spherical model. We used the Cross validation method to compare the two methods kriging and Co-kriging, based on the based on some statistical indicators such as Mean Errors (ME), Root Mean Square Errors (RMSE) and Squared Deviation Ratio (MSDR). The Kriging forecast error map shows low errors expected near the stations, while co-Kriging gives the lowest errors on average at the national level, which means that the method of co-Kriging is the best. From the results of the return periods, we calculate that after 50 years the estimated of the annual extreme precipitation will exceed the maximum AMP is observed in the 33-year.",book:{id:"7724",title:"Climate Change in Asia and Africa - Examining the Biophysical and Social Consequences, and Society's Responses",coverURL:"https://cdn.intechopen.com/books/images_new/7724.jpg"},signatures:"Hicham Salhi"},{id:"77854",title:"Flooding and Flood Modeling in a Typhoon Belt Environment: The Case of the Philippines",slug:"flooding-and-flood-modeling-in-a-typhoon-belt-environment-the-case-of-the-philippines",totalDownloads:164,totalDimensionsCites:0,doi:"10.5772/intechopen.98738",abstract:"Flooding is a perennial world-wide problem and is a serious hazard in areas where the amount of precipitable water has potential to dump excessive amount of water. The warming of the Earth’s climate due to the increase in greenhouse gases (GHGs) increases the availability of water vapor and hence, of extreme precipitation as observed and forecasted by researchers. With rainfall intensity too high, the torrential rains coupled with weather systems that enhances its effects, flooding not only submerges anything low-lying, it also washes away living and non-living things along the course of the river and the floodplain. The flooding is even worsened by the increase in velocity of flow caused by unsustainable urbanization and denudation of the watershed at the headwaters. Nature’s strength is an order of a magnitude that is way beyond that of the strength of men but human ingenuity enables us to transform our living environment into models that could help us better understand it. Flood modeling provides us decision support tools to deal better with nature. It also enables us to simulate the future especially nowadays that changes in our climate is imminent and even happening already in many parts of the world. Therefore, strategies on how to cope with our ever changing environment is very important particularly to countries that are at more risk to climate change such as the archipelagic Philippines.",book:{id:"7724",title:"Climate Change in Asia and Africa - Examining the Biophysical and Social Consequences, and Society's Responses",coverURL:"https://cdn.intechopen.com/books/images_new/7724.jpg"},signatures:"Fibor J. Tan"},{id:"77797",title:"Adapting to Climatic Extremes through Climate Resilient Industrial Landscapes: Building Capacities in the Southern Indian States of Telangana and Andhra Pradesh",slug:"adapting-to-climatic-extremes-through-climate-resilient-industrial-landscapes-building-capacities-in",totalDownloads:99,totalDimensionsCites:0,doi:"10.5772/intechopen.98732",abstract:"There is now greater confidence and understanding of the consequences of anthropogenic caused climate change. One of the many impacts of climate change, has been the occurrence of extreme climatic events, recent studies indicate that the magnitude, frequency, and intensity of hydro-meteorological events such as heat waves, cyclones, droughts, wildfires, and floods are expected to increase several fold in the coming decades. These climatic extremes are likely to have social, economic, and environmental costs to nations across the globe. There is an urgent need to prepare various stakeholders to these disasters through capacity building and training measures. Here, we present an analysis of the capacity needs assessment of various stakeholders to climate change adaptation in industrial parks in two southern states of India. Adaptation to climate change in industrial areas is an understudied yet highly urgent requirement to build resilience among stakeholders in the Indian subcontinent. The capacity needs assessment was conducted in two stages, participatory rural appraisal (PRA) and focus group discussion (FGD) were conducted among various stakeholders to determine the current capacities for climate change adaptation (CCA) for both, stakeholders and functional groups. Our analysis indicates that in the states of Telangana and Andhra Pradesh, all stakeholder groups require low to high levels of retraining in infrastructure and engineering, planning, and financial aspects related to CCA. Our study broadly supports the need for capacity building and retraining of functionaries at local and state levels in various climate change adaptation measures; likewise industry managers need support to alleviate the impacts of climate change. Specific knowledge, skills, and abilities, with regard to land zoning, storm water management, developing building codes, green financing for CCA, early warning systems for climatic extremes, to name a few are required to enhance and build resilience to climate change in the industrial landscapes of the two states.",book:{id:"7724",title:"Climate Change in Asia and Africa - Examining the Biophysical and Social Consequences, and Society's Responses",coverURL:"https://cdn.intechopen.com/books/images_new/7724.jpg"},signatures:"Narendran Kodandapani"},{id:"77460",title:"Changing Climatic Hazards in the Coast: Risks and Impacts on Satkhira, One of the Most Vulnerable Districts in Bangladesh",slug:"changing-climatic-hazards-in-the-coast-risks-and-impacts-on-satkhira-one-of-the-most-vulnerable-dist",totalDownloads:211,totalDimensionsCites:0,doi:"10.5772/intechopen.98623",abstract:"Changes in the climate due to anthropogenic and natural variation are indicated by parameters including temperature and rainfall. Climate change variability with changing trends of the two have been unpredictable and unprecedented globally leading to changing weather patterns, natural disasters, leading to sectoral impacts on food and water security, livelihood, human health among others. This research analyses the changing patterns of these parameters over the last 35/37 years of Satkhira district of Bangladesh to assess the state and trend across spatial and temporal dimensions. Such, the study validates to rationalize the observed seasonal changes that persist in Satkhira of Bangladesh. Both in terms of intensity and frequency of the occurrences of natural disasters, the series of natural events have been triangulated, with impacts and vulnerability being assessed from temperature variations, erratic rainfall, cyclone, flood and water logging etc. The study’s prime contribution remains in attribution of climate change in relation contextual circumstances in the region including sea level rise, salinity intrusion. Therefore, the risk and climatic hazards and its resulting impacts over time has been assessed to draw deeper connection between theoretical and practical values. The series of analyses also draw conclusion that assets are at risk from changing climatic condition.",book:{id:"7724",title:"Climate Change in Asia and Africa - Examining the Biophysical and Social Consequences, and Society's Responses",coverURL:"https://cdn.intechopen.com/books/images_new/7724.jpg"},signatures:"Md. Golam Rabbani, Md. Nasir Uddin and Sirazoom Munira"},{id:"76915",title:"The Impacts of Climate Change in Lwengo, Uganda",slug:"the-impacts-of-climate-change-in-lwengo-uganda",totalDownloads:102,totalDimensionsCites:0,doi:"10.5772/intechopen.97279",abstract:"Climate Change has become a threat worldwide. Vulnerable communities are at foremost risk of repercussions of climate change. The present study aimed at highlighting a case study of climate change impacts on Lwengo District of Uganda. Out of the total geographical area of the district, 85% hectares are under cultivation and most of its population depends majorly on the rain- fed agriculture sector to meet the food requirement and as a major income source. With the changing climatic conditions, agriculture is the major sector which is being impacted. The region has experienced disasters from some time, usually the second seasons rains used to result in such disasters but since 2016 both seasons have occurred disasters, which majorly include hailstorm, strong wind, long dry spells, pests and diseases. The situation became more severe due to shortage of availability of skilled human resources, quality equipment for disaster management, limited financial resources and weak institutional capacity, which resulted in increasing vulnerability of small farm holders. Some of the adaptation strategies are being taken up by the government but there is a need to understand prospects of decision-making that are site specific and more sustainable for smallholder communities. Climatic changes possess many obstacles to farming communities which require sustainable adaptation to enhance the adaptive capacities of the communities through continued production systems, which are more resilient to the vagaries of weather. Farmers are practising such options which are location specific, governed by policy framework and dependent on dynamism of farmers. This study investigated how these drivers influence farmers’ decision- making in relation to climate change adaptations.",book:{id:"7724",title:"Climate Change in Asia and Africa - Examining the Biophysical and Social Consequences, and Society's Responses",coverURL:"https://cdn.intechopen.com/books/images_new/7724.jpg"},signatures:"Shyamli Singh and Ovamani Olive Kagweza"}],onlineFirstChaptersTotal:13},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:9,numberOfPublishedChapters:90,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:108,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:33,numberOfPublishedChapters:330,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:14,numberOfPublishedChapters:145,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:9,numberOfPublishedChapters:141,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!0},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:124,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:11,numberOfPublishedChapters:112,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:22,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2753-894X",doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:12,numberOfOpenTopics:1,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!0},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:1,numberOfPublishedChapters:19,numberOfOpenTopics:5,numberOfUpcomingTopics:0,issn:"2753-6580",doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"13",title:"Veterinary Medicine and Science",doi:"10.5772/intechopen.73681",issn:"2632-0517",scope:"Paralleling similar advances in the medical field, astounding advances occurred in Veterinary Medicine and Science in recent decades. These advances have helped foster better support for animal health, more humane animal production, and a better understanding of the physiology of endangered species to improve the assisted reproductive technologies or the pathogenesis of certain diseases, where animals can be used as models for human diseases (like cancer, degenerative diseases or fertility), and even as a guarantee of public health. Bridging Human, Animal, and Environmental health, the holistic and integrative “One Health” concept intimately associates the developments within those fields, projecting its advancements into practice. This book series aims to tackle various animal-related medicine and sciences fields, providing thematic volumes consisting of high-quality significant research directed to researchers and postgraduates. It aims to give us a glimpse into the new accomplishments in the Veterinary Medicine and Science field. By addressing hot topics in veterinary sciences, we aim to gather authoritative texts within each issue of this series, providing in-depth overviews and analysis for graduates, academics, and practitioners and foreseeing a deeper understanding of the subject. Forthcoming texts, written and edited by experienced researchers from both industry and academia, will also discuss scientific challenges faced today in Veterinary Medicine and Science. In brief, we hope that books in this series will provide accessible references for those interested or working in this field and encourage learning in a range of different topics.",coverUrl:"https://cdn.intechopen.com/series/covers/13.jpg",latestPublicationDate:"August 7th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:11,editor:{id:"38652",title:"Prof.",name:"Rita",middleName:null,surname:"Payan-Carreira",slug:"rita-payan-carreira",fullName:"Rita Payan-Carreira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRiFPQA0/Profile_Picture_1614601496313",biography:"Rita Payan Carreira earned her Veterinary Degree from the Faculty of Veterinary Medicine in Lisbon, Portugal, in 1985. She obtained her Ph.D. in Veterinary Sciences from the University of Trás-os-Montes e Alto Douro, Portugal. After almost 32 years of teaching at the University of Trás-os-Montes and Alto Douro, she recently moved to the University of Évora, Department of Veterinary Medicine, where she teaches in the field of Animal Reproduction and Clinics. Her primary research areas include the molecular markers of the endometrial cycle and the embryo–maternal interaction, including oxidative stress and the reproductive physiology and disorders of sexual development, besides the molecular determinants of male and female fertility. She often supervises students preparing their master's or doctoral theses. She is also a frequent referee for various journals.",institutionString:null,institution:{name:"University of Évora",institutionURL:null,country:{name:"Portugal"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:3,paginationItems:[{id:"19",title:"Animal Science",coverUrl:"https://cdn.intechopen.com/series_topics/covers/19.jpg",isOpenForSubmission:!0,editor:{id:"259298",title:"Dr.",name:"Edward",middleName:null,surname:"Narayan",slug:"edward-narayan",fullName:"Edward Narayan",profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",biography:"Dr. Edward Narayan graduated with Ph.D. degree in Biology from the University of the South Pacific and pioneered non-invasive reproductive and stress endocrinology tools for amphibians - the novel development and validation of non-invasive enzyme immunoassays for the evaluation of reproductive hormonal cycle and stress hormone responses to environmental stressors. \nDr. Narayan leads the Stress Lab (Comparative Physiology and Endocrinology) at the University of Queensland. A dynamic career research platform which is based on the thematic areas of comparative vertebrate physiology, stress endocrinology, reproductive endocrinology, animal health and welfare, and conservation biology. \nEdward has supervised 40 research students and published over 60 peer reviewed research.",institutionString:null,institution:{name:"University of Queensland",institutionURL:null,country:{name:"Australia"}}},editorTwo:null,editorThree:null},{id:"20",title:"Animal Nutrition",coverUrl:"https://cdn.intechopen.com/series_topics/covers/20.jpg",isOpenForSubmission:!0,editor:{id:"175967",title:"Dr.",name:"Manuel",middleName:null,surname:"Gonzalez Ronquillo",slug:"manuel-gonzalez-ronquillo",fullName:"Manuel Gonzalez Ronquillo",profilePictureURL:"https://mts.intechopen.com/storage/users/175967/images/system/175967.png",biography:"Dr. Manuel González Ronquillo obtained his doctorate degree from the University of Zaragoza, Spain, in 2001. He is a research professor at the Faculty of Veterinary Medicine and Animal Husbandry, Autonomous University of the State of Mexico. He is also a level-2 researcher. He received a Fulbright-Garcia Robles fellowship for a postdoctoral stay at the US Dairy Forage Research Center, Madison, Wisconsin, USA in 2008–2009. He received grants from Alianza del Pacifico for a stay at the University of Magallanes, Chile, in 2014, and from Consejo Nacional de Ciencia y Tecnología (CONACyT) to work in the Food and Agriculture Organization’s Animal Production and Health Division (AGA), Rome, Italy, in 2014–2015. He has collaborated with researchers from different countries and published ninety-eight journal articles. He teaches various degree courses in zootechnics, sheep production, and agricultural sciences and natural resources.\n\nDr. Ronquillo’s research focuses on the evaluation of sustainable animal diets (StAnD), using native resources of the region, decreasing carbon footprint, and applying meta-analysis and mathematical models for a better understanding of animal production.",institutionString:null,institution:{name:"Universidad Autónoma del Estado de México",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null},{id:"28",title:"Animal Reproductive Biology and Technology",coverUrl:"https://cdn.intechopen.com/series_topics/covers/28.jpg",isOpenForSubmission:!0,editor:{id:"177225",title:"Prof.",name:"Rosa Maria Lino Neto",middleName:null,surname:"Pereira",slug:"rosa-maria-lino-neto-pereira",fullName:"Rosa Maria Lino Neto Pereira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bS9wkQAC/Profile_Picture_1624519982291",biography:"Rosa Maria Lino Neto Pereira (DVM, MsC, PhD and) is currently a researcher at the Genetic Resources and Biotechnology Unit of the National Institute of Agrarian and Veterinarian Research (INIAV, Portugal). She is the head of the Reproduction and Embryology Laboratories and was lecturer of Reproduction and Reproductive Biotechnologies at Veterinary Medicine Faculty. She has over 25 years of experience working in reproductive biology and biotechnology areas with a special emphasis on embryo and gamete cryopreservation, for research and animal genetic resources conservation, leading research projects with several peer-reviewed papers. Rosa Pereira is member of the ERFP-FAO Ex situ Working Group and of the Management Commission of the Portuguese Animal Germplasm Bank.",institutionString:"The National Institute for Agricultural and Veterinary Research. Portugal",institution:null},editorTwo:null,editorThree:null}]},overviewPageOFChapters:{paginationCount:20,paginationItems:[{id:"82991",title:"Diseases of the Canine Prostate Gland",doi:"10.5772/intechopen.105835",signatures:"Sabine Schäfer-Somi",slug:"diseases-of-the-canine-prostate-gland",totalDownloads:2,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Recent Advances in Canine Medicine",coverURL:"https://cdn.intechopen.com/books/images_new/11580.jpg",subseries:{id:"19",title:"Animal Science"}}},{id:"82956",title:"Potential Substitutes of Antibiotics for Swine and Poultry Production",doi:"10.5772/intechopen.106081",signatures:"Ho Trung Thong, Le Nu Anh Thu and Ho Viet Duc",slug:"potential-substitutes-of-antibiotics-for-swine-and-poultry-production",totalDownloads:4,totalCrossrefCites:0,totalDimensionsCites:0,authors:null,book:{title:"Antibiotics and Probiotics in Animal Food - Impact and Regulation",coverURL:"https://cdn.intechopen.com/books/images_new/11578.jpg",subseries:{id:"20",title:"Animal Nutrition"}}},{id:"82905",title:"A Review of Application Strategies and Efficacy of Probiotics in Pet Food",doi:"10.5772/intechopen.105829",signatures:"Heather Acuff and Charles G. 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He has also designed medical devices, including a laser Doppler monitoring system.",institutionString:"Kaiser Permanente Southern California",institution:null},{id:"169608",title:"Prof.",name:"Marian",middleName:null,surname:"Găiceanu",slug:"marian-gaiceanu",fullName:"Marian Găiceanu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/169608/images/system/169608.png",biography:"Prof. Dr. Marian Gaiceanu graduated from the Naval and Electrical Engineering Faculty, Dunarea de Jos University of Galati, Romania, in 1997. He received a Ph.D. (Magna Cum Laude) in Electrical Engineering in 2002. Since 2017, Dr. Gaiceanu has been a Ph.D. supervisor for students in Electrical Engineering. He has been employed at Dunarea de Jos University of Galati since 1996, where he is currently a professor. Dr. Gaiceanu is a member of the National Council for Attesting Titles, Diplomas and Certificates, an expert of the Executive Agency for Higher Education, Research Funding, and a member of the Senate of the Dunarea de Jos University of Galati. He has been the head of the Integrated Energy Conversion Systems and Advanced Control of Complex Processes Research Center, Romania, since 2016. He has conducted several projects in power converter systems for electrical drives, power quality, PEM and SOFC fuel cell power converters for utilities, electric vehicles, and marine applications with the Department of Regulation and Control, SIEI S.pA. (2002–2004) and the Polytechnic University of Turin, Italy (2002–2004, 2006–2007). He is a member of the Institute of Electrical and Electronics Engineers (IEEE) and cofounder-member of the IEEE Power Electronics Romanian Chapter. He is a guest editor at Energies and an academic book editor for IntechOpen. He is also a member of the editorial boards of the Journal of Electrical Engineering, Electronics, Control and Computer Science and Sustainability. Dr. Gaiceanu has been General Chairman of the IEEE International Symposium on Electrical and Electronics Engineering in the last six editions.",institutionString:'"Dunarea de Jos" University of Galati',institution:{name:'"Dunarea de Jos" University of Galati',country:{name:"Romania"}}},{id:"4519",title:"Prof.",name:"Jaydip",middleName:null,surname:"Sen",slug:"jaydip-sen",fullName:"Jaydip Sen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/4519/images/system/4519.jpeg",biography:"Jaydip Sen is associated with Praxis Business School, Kolkata, India, as a professor in the Department of Data Science. His research areas include security and privacy issues in computing and communication, intrusion detection systems, machine learning, deep learning, and artificial intelligence in the financial domain. He has more than 200 publications in reputed international journals, refereed conference proceedings, and 20 book chapters in books published by internationally renowned publishing houses, such as Springer, CRC press, IGI Global, etc. Currently, he is serving on the editorial board of the prestigious journal Frontiers in Communications and Networks and in the technical program committees of a number of high-ranked international conferences organized by the IEEE, USA, and the ACM, USA. He has been listed among the top 2% of scientists in the world for the last three consecutive years, 2019 to 2021 as per studies conducted by the Stanford University, USA.",institutionString:"Praxis Business School",institution:null},{id:"320071",title:"Dr.",name:"Sidra",middleName:null,surname:"Mehtab",slug:"sidra-mehtab",fullName:"Sidra Mehtab",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00002v6KHoQAM/Profile_Picture_1584512086360",biography:"Sidra Mehtab has completed her BS with honors in Physics from Calcutta University, India in 2018. She has done MS in Data Science and Analytics from Maulana Abul Kalam Azad University of Technology (MAKAUT), Kolkata, India in 2020. Her research areas include Econometrics, Time Series Analysis, Machine Learning, Deep Learning, Artificial Intelligence, and Computer and Network Security with a particular focus on Cyber Security Analytics. Ms. Mehtab has published seven papers in international conferences and one of her papers has been accepted for publication in a reputable international journal. She has won the best paper awards in two prestigious international conferences – BAICONF 2019, and ICADCML 2021, organized in the Indian Institute of Management, Bangalore, India in December 2019, and SOA University, Bhubaneswar, India in January 2021. Besides, Ms. Mehtab has also published two book chapters in two books. Seven of her book chapters will be published in a volume shortly in 2021 by Cambridge Scholars’ Press, UK. Currently, she is working as the joint editor of two edited volumes on Time Series Analysis and Forecasting to be published in the first half of 2021 by an international house. Currently, she is working as a Data Scientist with an MNC in Delhi, India.",institutionString:"NSHM College of Management and Technology",institution:{name:"Association for Computing Machinery",country:{name:"United States of America"}}},{id:"226240",title:"Dr.",name:"Andri Irfan",middleName:null,surname:"Rifai",slug:"andri-irfan-rifai",fullName:"Andri Irfan Rifai",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/226240/images/7412_n.jpg",biography:"Andri IRFAN is a Senior Lecturer of Civil Engineering and Planning. He completed the PhD at the Universitas Indonesia & Universidade do Minho with Sandwich Program Scholarship from the Directorate General of Higher Education and LPDP scholarship. He has been teaching for more than 19 years and much active to applied his knowledge in the project construction in Indonesia. His research interest ranges from pavement management system to advanced data mining techniques for transportation engineering. He has published more than 50 papers in journals and 2 books.",institutionString:null,institution:{name:"Universitas Internasional Batam",country:{name:"Indonesia"}}},{id:"314576",title:"Dr.",name:"Ibai",middleName:null,surname:"Laña",slug:"ibai-lana",fullName:"Ibai Laña",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314576/images/system/314576.jpg",biography:"Dr. Ibai Laña works at TECNALIA as a data analyst. He received his Ph.D. in Artificial Intelligence from the University of the Basque Country (UPV/EHU), Spain, in 2018. He is currently a senior researcher at TECNALIA. His research interests fall within the intersection of intelligent transportation systems, machine learning, traffic data analysis, and data science. He has dealt with urban traffic forecasting problems, applying machine learning models and evolutionary algorithms. He has experience in origin-destination matrix estimation or point of interest and trajectory detection. Working with large volumes of data has given him a good command of big data processing tools and NoSQL databases. He has also been a visiting scholar at the Knowledge Engineering and Discovery Research Institute, Auckland University of Technology.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"314575",title:"Dr.",name:"Jesus",middleName:null,surname:"L. Lobo",slug:"jesus-l.-lobo",fullName:"Jesus L. Lobo",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/314575/images/system/314575.png",biography:"Dr. Jesús López is currently based in Bilbao (Spain) working at TECNALIA as Artificial Intelligence Research Scientist. In most cases, a project idea or a new research line needs to be investigated to see if it is good enough to take into production or to focus on it. That is exactly what he does, diving into Machine Learning algorithms and technologies to help TECNALIA to decide whether something is great in theory or will actually impact on the product or processes of its projects. So, he is expert at framing experiments, developing hypotheses, and proving whether they’re true or not, in order to investigate fundamental problems with a longer time horizon. He is also able to design and develop PoCs and system prototypes in simulation. He has participated in several national and internacional R&D projects.\n\nAs another relevant part of his everyday research work, he usually publishes his findings in reputed scientific refereed journals and international conferences, occasionally acting as reviewer and Programme Commitee member. Concretely, since 2018 he has published 9 JCR (8 Q1) journal papers, 9 conference papers (e.g. ECML PKDD 2021), and he has co-edited a book. He is also active in popular science writing data science stories for reputed blogs (KDNuggets, TowardsDataScience, Naukas). Besides, he has recently embarked on mentoring programmes as mentor, and has also worked as data science trainer.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"103779",title:"Prof.",name:"Yalcin",middleName:null,surname:"Isler",slug:"yalcin-isler",fullName:"Yalcin Isler",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRyQ8QAK/Profile_Picture_1628834958734",biography:"Yalcin Isler (1971 - Burdur / Turkey) received the B.Sc. degree in the Department of Electrical and Electronics Engineering from Anadolu University, Eskisehir, Turkey, in 1993, the M.Sc. degree from the Department of Electronics and Communication Engineering, Suleyman Demirel University, Isparta, Turkey, in 1996, the Ph.D. degree from the Department of Electrical and Electronics Engineering, Dokuz Eylul University, Izmir, Turkey, in 2009, and the Competence of Associate Professorship from the Turkish Interuniversity Council in 2019.\n\nHe was Lecturer at Burdur Vocational School in Suleyman Demirel University (1993-2000, Burdur / Turkey), Software Engineer (2000-2002, Izmir / Turkey), Research Assistant in Bulent Ecevit University (2002-2003, Zonguldak / Turkey), Research Assistant in Dokuz Eylul University (2003-2010, Izmir / Turkey), Assistant Professor at the Department of Electrical and Electronics Engineering in Bulent Ecevit University (2010-2012, Zonguldak / Turkey), Assistant Professor at the Department of Biomedical Engineering in Izmir Katip Celebi University (2012-2019, Izmir / Turkey). He is an Associate Professor at the Department of Biomedical Engineering at Izmir Katip Celebi University, Izmir / Turkey, since 2019. In addition to academics, he has also founded Islerya Medical and Information Technologies Company, Izmir / Turkey, since 2017.\n\nHis main research interests cover biomedical signal processing, pattern recognition, medical device design, programming, and embedded systems. He has many scientific papers and participated in several projects in these study fields. He was an IEEE Student Member (2009-2011) and IEEE Member (2011-2014) and has been IEEE Senior Member since 2014.",institutionString:null,institution:{name:"Izmir Kâtip Çelebi University",country:{name:"Turkey"}}},{id:"339677",title:"Dr.",name:"Mrinmoy",middleName:null,surname:"Roy",slug:"mrinmoy-roy",fullName:"Mrinmoy Roy",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/339677/images/16768_n.jpg",biography:"An accomplished Sales & Marketing professional with 12 years of cross-functional experience in well-known organisations such as CIPLA, LUPIN, GLENMARK, ASTRAZENECA across different segment of Sales & Marketing, International Business, Institutional Business, Product Management, Strategic Marketing of HIV, Oncology, Derma, Respiratory, Anti-Diabetic, Nutraceutical & Stomatological Product Portfolio and Generic as well as Chronic Critical Care Portfolio. A First Class MBA in International Business & Strategic Marketing, B.Pharm, D.Pharm, Google Certified Digital Marketing Professional. Qualified PhD Candidate in Operations and Management with special focus on Artificial Intelligence and Machine Learning adoption, analysis and use in Healthcare, Hospital & Pharma Domain. Seasoned with diverse therapy area of Pharmaceutical Sales & Marketing ranging from generating revenue through generating prescriptions, launching new products, and making them big brands with continuous strategy execution at the Physician and Patients level. Moved from Sales to Marketing and Business Development for 3.5 years in South East Asian Market operating from Manila, Philippines. Came back to India and handled and developed Brands such as Gluconorm, Lupisulin, Supracal, Absolut Woman, Hemozink, Fabiflu (For COVID 19), and many more. In my previous assignment I used to develop and execute strategies on Sales & Marketing, Commercialization & Business Development for Institution and Corporate Hospital Business portfolio of Oncology Therapy Area for AstraZeneca Pharma India Ltd. Being a Research Scholar and Student of ‘Operations Research & Management: Artificial Intelligence’ I published several pioneer research papers and book chapters on the same in Internationally reputed journals and Books indexed in Scopus, Springer and Ei Compendex, Google Scholar etc. Currently, I am launching PGDM Pharmaceutical Management Program in IIHMR Bangalore and spearheading the course curriculum and structure of the same. I am interested in Collaboration for Healthcare Innovation, Pharma AI Innovation, Future trend in Marketing and Management with incubation on Healthcare, Healthcare IT startups, AI-ML Modelling and Healthcare Algorithm based training module development. I am also an affiliated member of the Institute of Management Consultant of India, looking forward to Healthcare, Healthcare IT and Innovation, Pharma and Hospital Management Consulting works.",institutionString:null,institution:{name:"Lovely Professional University",country:{name:"India"}}},{id:"310576",title:"Prof.",name:"Erick Giovani",middleName:null,surname:"Sperandio Nascimento",slug:"erick-giovani-sperandio-nascimento",fullName:"Erick Giovani Sperandio Nascimento",position:null,profilePictureURL:"https://intech-files.s3.amazonaws.com/0033Y00002pDKxDQAW/ProfilePicture%202022-06-20%2019%3A57%3A24.788",biography:"Prof. Erick Sperandio is the Lead Researcher and professor of Artificial Intelligence (AI) at SENAI CIMATEC, Bahia, Brazil, also working with Computational Modeling (CM) and HPC. He holds a PhD in Environmental Engineering in the area of Atmospheric Computational Modeling, a Master in Informatics in the field of Computational Intelligence and Graduated in Computer Science from UFES. He currently coordinates, leads and participates in R&D projects in the areas of AI, computational modeling and supercomputing applied to different areas such as Oil and Gas, Health, Advanced Manufacturing, Renewable Energies and Atmospheric Sciences, advising undergraduate, master's and doctoral students. He is the Lead Researcher at SENAI CIMATEC's Reference Center on Artificial Intelligence. In addition, he is a Certified Instructor and University Ambassador of the NVIDIA Deep Learning Institute (DLI) in the areas of Deep Learning, Computer Vision, Natural Language Processing and Recommender Systems, and Principal Investigator of the NVIDIA/CIMATEC AI Joint Lab, the first in Latin America within the NVIDIA AI Technology Center (NVAITC) worldwide program. He also works as a researcher at the Supercomputing Center for Industrial Innovation (CS2i) and at the SENAI Institute of Innovation for Automation (ISI Automação), both from SENAI CIMATEC. He is a member and vice-coordinator of the Basic Board of Scientific-Technological Advice and Evaluation, in the area of Innovation, of the Foundation for Research Support of the State of Bahia (FAPESB). He serves as Technology Transfer Coordinator and one of the Principal Investigators at the National Applied Research Center in Artificial Intelligence (CPA-IA) of SENAI CIMATEC, focusing on Industry, being one of the six CPA-IA in Brazil approved by MCTI / FAPESP / CGI.br. He also participates as one of the representatives of Brazil in the BRICS Innovation Collaboration Working Group on HPC, ICT and AI. He is the coordinator of the Work Group of the Axis 5 - Workforce and Training - of the Brazilian Strategy for Artificial Intelligence (EBIA), and member of the MCTI/EMBRAPII AI Innovation Network Training Committee. He is the coordinator, by SENAI CIMATEC, of the Artificial Intelligence Reference Network of the State of Bahia (REDE BAH.IA). He leads the working group of experts representing Brazil in the Global Partnership on Artificial Intelligence (GPAI), on the theme \"AI and the Pandemic Response\".",institutionString:"Manufacturing and Technology Integrated Campus – SENAI CIMATEC",institution:null},{id:"1063",title:"Prof.",name:"Constantin",middleName:null,surname:"Volosencu",slug:"constantin-volosencu",fullName:"Constantin Volosencu",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/1063/images/system/1063.png",biography:"Prof. Dr. Constantin Voloşencu graduated as an engineer from\nPolitehnica University of Timișoara, Romania, where he also\nobtained a doctorate degree. He is currently a full professor in\nthe Department of Automation and Applied Informatics at the\nsame university. Dr. Voloşencu is the author of ten books, seven\nbook chapters, and more than 160 papers published in journals\nand conference proceedings. He has also edited twelve books and\nhas twenty-seven patents to his name. He is a manager of research grants, editor in\nchief and member of international journal editorial boards, a former plenary speaker, a member of scientific committees, and chair at international conferences. His\nresearch is in the fields of control systems, control of electric drives, fuzzy control\nsystems, neural network applications, fault detection and diagnosis, sensor network\napplications, monitoring of distributed parameter systems, and power ultrasound\napplications. He has developed automation equipment for machine tools, spooling\nmachines, high-power ultrasound processes, and more.",institutionString:'"Politechnica" University Timişoara',institution:null},{id:"221364",title:"Dr.",name:"Eneko",middleName:null,surname:"Osaba",slug:"eneko-osaba",fullName:"Eneko Osaba",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/221364/images/system/221364.jpg",biography:"Dr. Eneko Osaba works at TECNALIA as a senior researcher. He obtained his Ph.D. in Artificial Intelligence in 2015. He has participated in more than twenty-five local and European research projects, and in the publication of more than 130 papers. He has performed several stays at universities in the United Kingdom, Italy, and Malta. Dr. Osaba has served as a program committee member in more than forty international conferences and participated in organizing activities in more than ten international conferences. He is a member of the editorial board of the International Journal of Artificial Intelligence, Data in Brief, and Journal of Advanced Transportation. He is also a guest editor for the Journal of Computational Science, Neurocomputing, Swarm, and Evolutionary Computation and IEEE ITS Magazine.",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"275829",title:"Dr.",name:"Esther",middleName:null,surname:"Villar-Rodriguez",slug:"esther-villar-rodriguez",fullName:"Esther Villar-Rodriguez",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/275829/images/system/275829.jpg",biography:"Dr. Esther Villar obtained a Ph.D. in Information and Communication Technologies from the University of Alcalá, Spain, in 2015. She obtained a degree in Computer Science from the University of Deusto, Spain, in 2010, and an MSc in Computer Languages and Systems from the National University of Distance Education, Spain, in 2012. Her areas of interest and knowledge include natural language processing (NLP), detection of impersonation in social networks, semantic web, and machine learning. Dr. Esther Villar made several contributions at conferences and publishing in various journals in those fields. Currently, she is working within the OPTIMA (Optimization Modeling & Analytics) business of TECNALIA’s ICT Division as a data scientist in projects related to the prediction and optimization of management and industrial processes (resource planning, energy efficiency, etc).",institutionString:"TECNALIA Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"49813",title:"Dr.",name:"Javier",middleName:null,surname:"Del Ser",slug:"javier-del-ser",fullName:"Javier Del Ser",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/49813/images/system/49813.png",biography:"Prof. Dr. Javier Del Ser received his first PhD in Telecommunication Engineering (Cum Laude) from the University of Navarra, Spain, in 2006, and a second PhD in Computational Intelligence (Summa Cum Laude) from the University of Alcala, Spain, in 2013. He is currently a principal researcher in data analytics and optimisation at TECNALIA (Spain), a visiting fellow at the Basque Center for Applied Mathematics (BCAM) and a part-time lecturer at the University of the Basque Country (UPV/EHU). His research interests gravitate on the use of descriptive, prescriptive and predictive algorithms for data mining and optimization in a diverse range of application fields such as Energy, Transport, Telecommunications, Health and Industry, among others. In these fields he has published more than 240 articles, co-supervised 8 Ph.D. theses, edited 6 books, coauthored 7 patents and participated/led more than 40 research projects. He is a Senior Member of the IEEE, and a recipient of the Biscay Talent prize for his academic career.",institutionString:"Tecnalia Research & Innovation",institution:{name:"Tecnalia",country:{name:"Spain"}}},{id:"278948",title:"Dr.",name:"Carlos Pedro",middleName:null,surname:"Gonçalves",slug:"carlos-pedro-goncalves",fullName:"Carlos Pedro Gonçalves",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRcmyQAC/Profile_Picture_1564224512145",biography:'Carlos Pedro Gonçalves (PhD) is an Associate Professor at Lusophone University of Humanities and Technologies and a researcher on Complexity Sciences, Quantum Technologies, Artificial Intelligence, Strategic Studies, Studies in Intelligence and Security, FinTech and Financial Risk Modeling. He is also a progammer with programming experience in:\n\nA) Quantum Computing using Qiskit Python module and IBM Quantum Experience Platform, with software developed on the simulation of Quantum Artificial Neural Networks and Quantum Cybersecurity;\n\nB) Artificial Intelligence and Machine learning programming in Python;\n\nC) Artificial Intelligence, Multiagent Systems Modeling and System Dynamics Modeling in Netlogo, with models developed in the areas of Chaos Theory, Econophysics, Artificial Intelligence, Classical and Quantum Complex Systems Science, with the Econophysics models having been cited worldwide and incorporated in PhD programs by different Universities.\n\nReceived an Arctic Code Vault Contributor status by GitHub, due to having developed open source software preserved in the \\"Arctic Code Vault\\" for future generations (https://archiveprogram.github.com/arctic-vault/), with the Strategy Analyzer A.I. module for decision making support (based on his PhD thesis, used in his Classes on Decision Making and in Strategic Intelligence Consulting Activities) and QNeural Python Quantum Neural Network simulator also preserved in the \\"Arctic Code Vault\\", for access to these software modules see: https://github.com/cpgoncalves. He is also a peer reviewer with outsanding review status from Elsevier journals, including Physica A, Neurocomputing and Engineering Applications of Artificial Intelligence. Science CV available at: https://www.cienciavitae.pt//pt/8E1C-A8B3-78C5 and ORCID: https://orcid.org/0000-0002-0298-3974',institutionString:"University of Lisbon",institution:{name:"Universidade Lusófona",country:{name:"Portugal"}}},{id:"241400",title:"Prof.",name:"Mohammed",middleName:null,surname:"Bsiss",slug:"mohammed-bsiss",fullName:"Mohammed Bsiss",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241400/images/8062_n.jpg",biography:null,institutionString:null,institution:null},{id:"276128",title:"Dr.",name:"Hira",middleName:null,surname:"Fatima",slug:"hira-fatima",fullName:"Hira Fatima",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/276128/images/14420_n.jpg",biography:"Dr. Hira Fatima\nAssistant Professor\nDepartment of Mathematics\nInstitute of Applied Science\nMangalayatan University, Aligarh\nMobile: no : 8532041179\nhirafatima2014@gmal.com\n\nDr. Hira Fatima has received his Ph.D. degree in pure Mathematics from Aligarh Muslim University, Aligarh India. Currently working as an Assistant Professor in the Department of Mathematics, Institute of Applied Science, Mangalayatan University, Aligarh. She taught so many courses of Mathematics of UG and PG level. Her research Area of Expertise is Functional Analysis & Sequence Spaces. She has been working on Ideal Convergence of double sequence. She has published 17 research papers in National and International Journals including Cogent Mathematics, Filomat, Journal of Intelligent and Fuzzy Systems, Advances in Difference Equations, Journal of Mathematical Analysis, Journal of Mathematical & Computer Science etc. She has also reviewed few research papers for the and international journals. 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\r\n\tThe era of antibiotics led us to the illusion that the problem of bacterial infection is over. However, bacterial flexibility and adaptation mechanisms allow them to survive and grow in extreme conditions. The best example is the formation of a sophisticated society of bacteria defined as a biofilm. Understanding the mechanism of bacterial biofilm formation has changed our perception of the development of bacterial infection but successfully eradicating biofilm remains a challenge. Considering the above, it is not surprising that bacteria remain a major public health threat despite the development of many groups of antibiotics. Additionally, increasing prevalence of acquired antibiotic resistance forces us to realize that we are far from controlling the development of bacterial infections. On the other hand, many infections are endogenous and result from an unbalanced relationship between the host and the microorganism. The increasing use of immunosuppressants, such as chemotherapy or organ transplantation, increases the incidence of patients highly susceptible to bacterial infections in the population.
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Hematogenous candidiasis is a worrisome issue that affects people all over the world, particularly ICU patients. CARD9 deficiency and fungal infection have been major issues in recent years. Invasive aspergillosis is associated with a significant death rate. Special attention should be given to endemic fungal infections, identification of important clinical fungal infections advanced in yeasts, filamentous fungal infections, skin mycobiome and fungal genomes, and immunity to fungal infections.\r\nIn addition, endemic fungal diseases or uncommon fungal infections caused by Mucor irregularis, dermatophytosis, Malassezia, cryptococcosis, chromoblastomycosis, coccidiosis, blastomycosis, histoplasmosis, sporotrichosis, and other fungi, should be monitored. \r\nThis topic includes the research progress on the etiology and pathogenesis of fungal infections, new methods of isolation and identification, rapid detection, drug sensitivity testing, new antifungal drugs, schemes and case series reports. It will provide significant opportunities and support for scientists, clinical doctors, mycologists, antifungal drug researchers, public health practitioners, and epidemiologists from all over the world to share new research, ideas and solutions to promote the development and progress of medical mycology.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/4.jpg",keywords:"Emerging Fungal Pathogens, Invasive Infections, Epidemiology, Cell Membrane, Fungal Virulence, Diagnosis, Treatment"},{id:"5",title:"Parasitic Infectious Diseases",scope:"Parasitic diseases have evolved alongside their human hosts. In many cases, these diseases have adapted so well that they have developed efficient resilience methods in the human host and can live in the host for years. Others, particularly some blood parasites, can cause very acute diseases and are responsible for millions of deaths yearly. Many parasitic diseases are classified as neglected tropical diseases because they have received minimal funding over recent years and, in many cases, are under-reported despite the critical role they play in morbidity and mortality among human and animal hosts. The current topic, Parasitic Infectious Diseases, in the Infectious Diseases Series aims to publish studies on the systematics, epidemiology, molecular biology, genomics, pathogenesis, genetics, and clinical significance of parasitic diseases from blood borne to intestinal parasites as well as zoonotic parasites. We hope to cover all aspects of parasitic diseases to provide current and relevant research data on these very important diseases. In the current atmosphere of the Coronavirus pandemic, communities around the world, particularly those in different underdeveloped areas, are faced with the growing challenges of the high burden of parasitic diseases. At the same time, they are faced with the Covid-19 pandemic leading to what some authors have called potential syndemics that might worsen the outcome of such infections. Therefore, it is important to conduct studies that examine parasitic infections in the context of the coronavirus pandemic for the benefit of all communities to help foster more informed decisions for the betterment of human and animal health.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/5.jpg",keywords:"Blood Borne Parasites, Intestinal Parasites, Protozoa, Helminths, Arthropods, Water Born Parasites, Epidemiology, Molecular Biology, Systematics, Genomics, Proteomics, Ecology"},{id:"6",title:"Viral Infectious Diseases",scope:"The Viral Infectious Diseases Book Series aims to provide a comprehensive overview of recent research trends and discoveries in various viral infectious diseases emerging around the globe. The emergence of any viral disease is hard to anticipate, which often contributes to death. A viral disease can be defined as an infectious disease that has recently appeared within a population or exists in nature with the rapid expansion of incident or geographic range. This series will focus on various crucial factors related to emerging viral infectious diseases, including epidemiology, pathogenesis, host immune response, clinical manifestations, diagnosis, treatment, and clinical recommendations for managing viral infectious diseases, highlighting the recent issues with future directions for effective therapeutic strategies.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/6.jpg",keywords:"Novel Viruses, Virus Transmission, Virus Evolution, Molecular Virology, Control and Prevention, Virus-host Interaction"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:null,selectedSubseries:null},seriesLanding:{item:null},libraryRecommendation:{success:null,errors:{},institutions:[]},route:{name:"chapter.detail",path:"/chapters/18637",hash:"",query:{},params:{id:"18637"},fullPath:"/chapters/18637",meta:{},from:{name:null,path:"/",hash:"",query:{},params:{},fullPath:"/",meta:{}}}},function(){var e;(e=document.currentScript||document.scripts[document.scripts.length-1]).parentNode.removeChild(e)}()