Abstract
In South America there are more dogs per person than in developed countries. Many owners allow their dogs to roam freely in public areas, which favours the spread of zoonotic diseases. The objective of this work is to describe, through bibliographic analysis, the occurrence, prevalence, species richness, and distribution of intestinal helminth parasites found in dog faeces from urban and rural areas of southern South America (Argentina-Chile-Uruguay). Using three databases, we performed a systematic review of articles published between 2000 and 2020 in indexed journals. A total of 219 articles was evaluated for eligibility, and of these 67 were included in the final analysis; 48 correspond to Argentina, 17 to Chile, and 2 to Uruguay. The total number of parasite taxa recorded was 22, the most frequently occurring species being Toxocara canis, Ancylostoma sp., Trichuris vulpis and Echinococcus sp. Species richness was correlated with sample size and varied between 1 and 10 species. In addition, disease risk is not homogeneously distributed. Due to the high infection levels in dogs, urban and rural dwellers are at risk of infection with zoonotic diseases transmitted by these animals, therefore a One Health approach to public health would be advisable.
Keywords
- Argentina
- Chile
- Uruguay
- Helminths
- Canine faeces
- Toxocara canis
- Echinococcus granulosus
- Ancylostoma caninum
- Trichuris vulpis
- systematic bibliographic review
- zoonotic risk
1. Introduction
1.1 Dog populations
Humans and dogs share a long history and were probably associated with European early-modern humans [1], coexisting indoors and outdoors and colonising new environments, often in cooperation [2]. From ancient times dogs have been used by humans as tools for different purposes, such as hunting, gathering food, caring for livestock, protection, and more recently as detectors of explosives and drugs, as companion animals, or as assistants for people with various types of disease or disability [3, 4, 5]. Therefore, their coexistence has been wide-ranging, and has generated numerous opportunities for around 260 zoonotic diseases to emerge between dogs and humans [2, 6].
There are almost one billion dogs worldwide [7], but the relationship between the numbers of people and dogs varies according to the geographic area and socioeconomic conditions of each country or region [8]. In developed countries the human to dog ratio varies from 6 to 10:1 according to the World Health Organisation [9]; in Italy the human:dog ratio is 9:1 [10], and in the United States it is 3.6:1 [11]. The dog population in South America is very large, around 87.6 million. In Brazil in particular there are 44.9 million children aged under 14 years, and an estimated total of 52.2 million dogs, which means there are more dogs than children [12]. In Argentina, a survey carried out for food companies determined that there are approximately 9 million dogs, and that 78% of households have a dog, whose function is mainly exclusively companionship [13]. The situation in Chile is similar, where the dog population is around 3.5 million and 64% of households have at least one [14], while in Uruguay the dog population is 1.75 million and 72% of households own a dog [15].
To encourage responsible ownership of this large number of dogs, it was necessary to enact laws indicating what responsible dog care implies (Argentina: Decree 1088/11; Chile: No. 21.020/17; Uruguay: No. 1189/14). Animal welfare thus imposes obligations on the owner, which include vaccinations, deworming, neutering, adequate food, and keeping pets confined to the household or taking them outside on a lead, thus preventing them from roaming freely. It should be noted that in most localities of these countries these laws are not enforced effectively [16].
1.2 Dog care
Although national laws have been promulgated several years ago, knowledge of them and the care received by dogs is far from adequate [17, 18, 19, 20]. The biggest problem in these countries is that dogs are allowed to roam freely in public areas, and this is associated with education, socio-economic level, the idiosyncrasy and customs of each country, the role the dog plays within the family, and the low importance that people give to how their dog can affect other people or animals [21]. In addition, allowing dogs to roam freely is strongly correlated with other aspects of dog care, such as a lack of appropriate vaccination and deworming treatment [21]. The care given to dogs that roam freely is poorer than for dogs which are confined, and they are rarely taken to the vet due to the high cost that this represents [22]. In Chile, the average cost spent per pet for annual veterinary check-ups, diagnoses, vaccines and treatment is US$ 330 [4], while in Argentina this cost is around US$ 100 annually (personal observation). The percentage of vaccinated dogs is low, even when there is a possibility of rabies contagion [14, 23], and the frequency of deworming is in most cases inadequate considering that dogs can roam freely on public roads, becoming reinfected [23, 24, 25]. The percentage of animals that are neutered is also insufficient, despite the national or local neutering programs run in the three countries [21, 26, 27]. Neutered animals represent less than half the dog population [21, 23, 28] and the majority are older than 3 years; in many cases dogs are allowed to have at least one litter of offspring [23].
1.3 Dogs, parasites and diseases
One Health is recognised as a valuable paradigm for global health management, and seeks the integration of human and animal health. The risk of transmission of a zoonotic disease from dogs to humans is related to the abundance of infectious forms in the environment, climatic conditions, whether dogs roam freely, and the behaviour of humans that exposes them to infective sources [29, 30]. It has been observed that free-roaming dogs are more exposed and prone to acquiring parasites [24, 31, 32, 33]. In Chile, rural dogs are associated with agricultural and livestock activities. They are unsupervised, have freedom to roam and are given limited veterinary care [34]. In Argentina, parasite richness and prevalence are positively associated with free-roaming animals, and only a small proportion of dogs (17%) is subjected to some degree of movement restriction [20]. In the cities of Argentinian Patagonia, another important factor that promotes infection by zoonotic parasites, mainly cystic echinococcosis, is the domestic slaughter of small ruminants for human consumption. This practice occurs frequently in rural areas and the peripheral low-income neighbourhoods of cities, where dogs are fed with the raw offal of sheep and goats [35, 36]. The vast majority of parasites registered in South America are cosmopolitan zoonotic parasites transmitted through dog faeces, such as
Southern South America is a region with varied geography and climate and marked altitudinal and latitudinal differences; for example, plains (Pampas in Argentina and Uruguay), arid plateaus (Patagonia), forests (Patagonia and northeastern Argentina), and mountains of high altitude between Argentina and Chile (the Andes). The climate ranges from humid tropical in northern Argentina and Uruguay, arid in northern Chile, to humid cold in the south of Argentina and Chile. This climatic variety favours the distribution and occurrence of different parasites. On the other hand, the socio-economic condition of a large part of the population is characterised by poverty and a low-income economy. This scenario is accompanied by a lack of parasitological studies, surveillance and zoonosis control plans on the part of public health organisations [44].
The objective of this work is to describe, through bibliographic analysis, the occurrence, prevalence, species richness, and distribution of intestinal helminth parasites found in dog faeces in urban and rural areas of southern South America (Argentina-Chile-Uruguay).
2. Materials and methods
2.1 Search approach
Three databases (PubMed, Google Scholar and Scopus) were searched for studies published between 2000 and 2020. The search terms were “dog AND parasite AND Argentina”; “dog AND parasite AND Chile”; and “dog AND parasite AND Uruguay”.
The Google Scholar search in particular returned a large number of results, of which the first 700 titles were read (and in some cases the abstract); however, it was observed that after the first 200 no results were found that met the search requirements.
2.2 Paper assortment
The studies to be included were identified independently by two reviewers, and were confirmed by a third reviewer following standardised methodology [45]. The studies included met the following criteria: (1) full text articles available online; (2) published between 2000 and 2020; (3) peer-reviewed, original papers published either in English or Spanish; (4) cross-sectional studies that assessed the prevalence of any intestinal helminth parasite of dogs in Argentina, Chile or Uruguay; (5) studies that detected parasite infection in faeces using at least one parasitological, serological and/or molecular method; (6) studies that reported sample sizes, and the prevalence of each parasite species. Reviews and case reports were excluded. The following data were extracted from each article: authors, publication year, country, localities (coordinates), type of locality (rural/urban), sample size, detection method, prevalence of each parasite, number of parasite species.
2.3 Parasite distribution
The distribution maps were constructed using the Free and Open Source Geographic Information System (QGis system). The coordinates for the site locations were taken from the selected works or were completed using Google Earth. The prevalence values shown on the maps were obtained from the studies included in the bibliographic review. The map of South America was obtained from shape files from
2.4 Statistical analysis
Spearman’s rank Correlation Tests were performed to analyse the relation between richness, with sample size and latitude. All sites with richness = 1 were excluded, since they searched for only one parasite.
3. Results
From the search in the 3 databases, 29,450 scientific items were found. Of these, 24,517 belong to the period between 2000 and 2020. After analysing the titles and abstracts, 24,298 articles were excluded because they did not comply with the objectives or inclusion criteria, did not include helminths, did not correspond to the countries under study, or were not cross-sectional studies. A total of 219 articles were evaluated for eligibility. After removing the duplicates, 67 were included in the final analysis (Table 1), and the full texts of these relevant articles were reviewed in depth. Forty-eight corresponded to Argentina, 17 to Chile, and 2 to Uruguay (Figure 1). The data come from analysis of 32,300 dog faeces collected in urban or rural sites of the 3 countries. Sample sizes in the different studies ranged from 4 to 2,417, except for Uruguay where 5,356 faeces were analysed for the National Echinococcosis Control Programs, without considering the presence of other parasites (Table 1).

Figure 1.
Flow diagram of epidemiologic studies on dog parasites for the systematic review.
Autor | Año | Country | Name Study Locality | Coordinates | Sample size | Fixing method | of tection Methods | No. Of detection methods | RURAL | URBAN | Richness | Ancylostomids | Capillaria sp. | Trematodes | |||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Acosta Jamett et al. [47] | 2010 | Chile | Tangue | 30°20'S, 71°34'W | 120 | ELISA | 1 | rural | 1 | 10 | |||||||||||||||||||||||
Acosta Jamett et al. [47] | 2010 | Chile | Guanaqueros | 30°11'S, 71°25'W | 81 | ELISA | 1 | urban | 0 | ||||||||||||||||||||||||
Acosta Jamett et al. [47] | 2010 | Chile | Coquimbo | 29°57'S, 71°20'W | 128 | ELISA | 1 | urban | 1 | 15 | |||||||||||||||||||||||
Acosta Jamett et al. [48] | 2014 | Chile | Combarbalá | 31°10′S, 71°03′W | 52 | CoproElisa | 1 | urban | 1 | 27 | |||||||||||||||||||||||
Andresiuk et al. [49] | 2007 | Argentina | Mar del Plata | 37°56'S, 57°35'W | 400 | Willis Flotation | 1 | urban | 3 | 62.8 | 13.9 | 46.75 | |||||||||||||||||||||
Andresiuk et al. [50] | 2003 | Argentina | Mar del Plata | 38°00′S, 57°33′W | 125 | Flotation, sedimentation of Willis | 1 | urban | 4 | 62.96 | 24.07 | 2.56 | 22.22 | 62.96 | |||||||||||||||||||
Andresiuk et al. [29] | 2004 | Argentina | Mar del Plata | 38°00′S, 57°33′W | 288 | Flotation, sedimentation of Willis | 1 | urban | 3 | 65.83 | 14.17 | 46.67 | |||||||||||||||||||||
Archelli et al. [51] | 2018 | Argentina | Ensenada | 34°51′S, 57°54′W | 217 | Formol 10% | Sedimentation of Teleman and Flotation of Sheater | 2 | urban | 1 | 23.0 | ||||||||||||||||||||||
Arezo et al .[36] | 2020 | Argentina | Bariloche | 41°10’S, 71°18’W | 1780 | coproElisa Echinococcus | 1 | rural | 1 | 1 | |||||||||||||||||||||||
Arezo et al .[36] | 2020 | Argentina | El Bolson | 41°58′S, 71°32′W | CoproElisa | 1 | rural | ||||||||||||||||||||||||||
Arezo et al. [36] | 2020 | Argentina | Comallo | 41°02′S, 70°16′W | CoproElisa | 1 | rural | 1 | 1 | ||||||||||||||||||||||||
Arezo et al. [36] | 2020 | Argentina | El Cuy | 39°56′S, 68°20′W | CoproElisa | 1 | rural | 1 | 1 | ||||||||||||||||||||||||
Arezo et al. [36] | 2020 | Argentina | Ing. Jacobacci | 41°18′S, 69°35′W | CoproElisa | 1 | rural | 1 | 1 | ||||||||||||||||||||||||
Arezo et al. [36] | 2020 | Argentina | Maquinchao | 41°15′S, 68°42′W | CoproElisa | 1 | rural | ||||||||||||||||||||||||||
Arezo et al. [36] | 2020 | Argentina | Los Menucos | 40°50′S, 68°05′W | CoproElisa | 1 | rural | 1 | 1 | ||||||||||||||||||||||||
Arezo et al. [36] | 2020 | Argentina | Ñorquinco | 41°51′S, 70°54′W | CoproElisa | 1 | rural | 1 | 1 | ||||||||||||||||||||||||
Arezo et al. [36] | 2020 | Argentina | Pilcaniyeu | 41°07′S, 70°43′W | CoproElisa | 1 | rural | 1 | 1 | ||||||||||||||||||||||||
Arezo et al. [36] | 2020 | Argentina | Ramos Mexia | 40°30′S, 67°17′W | CoproElisa | 1 | rural | 1 | 1 | ||||||||||||||||||||||||
Arezo et al. [36] | 2020 | Argentina | Sierra Colorada | 40°35′S, 67°45′W | CoproElisa | 1 | rural | 1 | 1 | ||||||||||||||||||||||||
Arezo et al. [36] | 2020 | Argentina | Sierra Grande | 41°36′S, 65°21'W | CoproElisa | 1 | rural | ||||||||||||||||||||||||||
Arezo et al . [36] | 2020 | Argentina | Valcheta | 40°42′S, 66°09′W | CoproElisa | 1 | rural | 1 | 1 | ||||||||||||||||||||||||
Armstrong et al. [52] | 2011 | Chile | Temuco | 37°24'S, 72°31'W | 196 | Flotation with zinc | 1 | urban | 4 | 9.3 | 4.7 | 12.4 | 4.7 | ||||||||||||||||||||
Casas et al. [53] | 2013 | Argentina | La Quiaca | 22°06′S, 65°36′W | 89 | Copro, Elisa and WB | 2 | urban | 1 | 2.2 | |||||||||||||||||||||||
Castillo et al. [54] | 2000 | Chile | Santiago de Chile | 33°27′S, 70°40′W | 288 | Formol salino | Telemann modified, using ethandl acetate | 1 | urban | 4 | 4.5 | 0.7 | 13.5 | 7.3 | |||||||||||||||||||
Chiodo et al. [55] | 2006 | Argentina | General Mansilla | 35°04'S, 57°44'W | 81 | Sedimentation of Teleman modified | 1 | rural | 1 | 6.17 | |||||||||||||||||||||||
Cociancic et al. [56] | 2017 | Argentina | La Plata | 34°56′S, 57°57′W | 78 | Sedimentation of Ritchie and Flotation of Willis | 2 | urban | 7 | 69.2 | 41.0 | 1.3 | 1.3 | 1.3 | 21.8 | 28.2 | |||||||||||||||||
Cociancic et al. [32] | 2020 | Argentina | Ushuaia | 54°48′S, 68°18′W | 80 | Formol 5% | Sedimentation and Flotac | 2 | urban | 7 | 1.3 | 2.5 | 5.0 | 1.3 | |||||||||||||||||||
De Costas et al. [57] | 2014 | Argentina | Tumbaya | 23°51′S, 65°28′W | 222 | Copro, Elisa and WB | 2 | 1 | 11.7 | ||||||||||||||||||||||||
De Costas et al. [57] | 2014 | Argentina | Humahuaca | 23°12′S, 65°21′W | 18 | Copro, Elisa and WB | 2 | 1 | 27.7 | ||||||||||||||||||||||||
De Costas et al. [57] | 2014 | Argentina | Tilcara | 23°34′S, 65°23′W | 64 | Copro, Elisa and WB | 2 | 1 | 14.0 | ||||||||||||||||||||||||
De Costas et al. [57] | 2014 | Argentina | Cochinoca | 22°44′S, 65°53′W | 94 | Copro, Elisa and WB | 2 | 1 | 9.5 | ||||||||||||||||||||||||
De Costas et al. [57] | 2014 | Argentina | Susques | 23°24′S, 66°22′W | 50 | Copro, Elisa and WB | 2 | 1 | 2.0 | ||||||||||||||||||||||||
De Costas et al. [57] | 2014 | Argentina | Santa Catalina | 21°56′S, 66°03′W | 28 | Copro, Elisa and WB | 2 | 1 | 10.7 | ||||||||||||||||||||||||
De Costas et al. [57] | 2014 | Argentina | Yavi | 22°07′S, 65°27′W | 47 | Copro, Elisa and WB | 2 | 1 | 14.8 | ||||||||||||||||||||||||
Dopchiz et al. [58] | 2013 | Argentina | Lobos, Bs As | 35°10′S, 59°05'W | 42 | Formol 10%, freezado | Sedimetation of Ritchie, Flotation of Sheater and CoproElisa | 3 | rural | 6 | 11.9 | 14.29 | 19.05 | 26.19 | 26.19 | ||||||||||||||||||
Enriquez et al. [59] | 2019 | Argentina | Pampa del Indio, Chaco | 26°02′S, 59°55′W | 85 | SAF solution | Flotation with NaCl and Sedimentation | 2 | urban | 8 | 68.2 | 2.4 | 1.2 | 5.9 | 5.9 | 14.1 | 3.5 | 15.3 | |||||||||||||||
Flores et al. [35] | 2017 | Argentina | Bariloche | 41°10’S, 71°18’W | 118 | Sheater Flotation | 1 | urban | 9 | 47.0 | 16.9 | 0.8 | 9.3 | 5.1 | 2.5 | 11.9 | 12.7 | 39.0 | |||||||||||||||
Fontanarosa et al. [60] | 2006 | Argentina | Lanus | 34°22′S, 58°22′W | 262 | Sheater Flotation | 1 | urban | 5 | 9.1 | 0.05 | 12.6 | 11 | ||||||||||||||||||||
Fontanarosa et al. [60] | 2006 | Argentina | Avellaneda | 34°39′S, 58°22′W | 547 | Sheater Flotation | 1 | urban | 5 | 8.9 | 0.8 | 14.2 | 5.4 | ||||||||||||||||||||
Fontanarosa et al. [60] | 2006 | Argentina | Alte Brown | 34°50′S, 58°23′W | 458 | Sheater Flotation | 1 | urban | 5 | 19 | 8.9 | 14.1 | |||||||||||||||||||||
Fontanarosa et al. [60] | 2006 | Argentina | E.Echeverria | 34°52′S, 58°28′W | 134 | Sheater Flotation | 1 | urban | 5 | 21.6 | 6.7 | 17.9 | |||||||||||||||||||||
Fontanarosa et al. [60] | 2006 | Argentina | Lomas de Zamora | 34°45′S, 58°25′W | 499 | Sheater Flotation | 1 | urban | 5 | 13 | 9.8 | 10.2 | |||||||||||||||||||||
Fontanarosa et al. [60] | 2006 | Argentina | Quilmes | 34°15′S, 58°15′W | 293 | Sheater Flotation | 1 | urban | 5 | 13.6 | 10.2 | 7.5 | |||||||||||||||||||||
Gamboa et al. [61] | 2011 | Argentina | La Plata | 34°56′S, 57°53′W | 12 | Formol 10% | Sedimentation of Ritchie and Flotation of Willis | 2 | urban | 4 | 16 | 16 | 16 | 8 | |||||||||||||||||||
Gamboa et al. [62] | 2009 | Argentina | La Plata Norte | 34°56′S, 57°57′W | 5 | Sedimentation of Ritchie and Carles Barthelemand, and Flotation of Fülleborn | 3 | urban | 4 | 16.7 | 16.7 | 16.7 | 8.3 | ||||||||||||||||||||
Gamboa et al. [62] | 2009 | Argentina | La Plata Sur | 34°56′S, 57°57′W | 4 | Sedimentation of Ritchie and Carles Barthelemand, and Flotation of Fülleborn | 3 | urban | 2 | 33.3 | 8.3 | ||||||||||||||||||||||
Gamboa et al. [62] | 2009 | Argentina | Aristóbulo del Valle | 27°05′S, 54°53′W | 11 | Sedimentation of Ritchie and Carles Barthelemand, and Flotation of Fülleborn | 3 | urban | 4 | 90.9 | 9.1 | 27.3 | 9.1 | ||||||||||||||||||||
Gonzalez Acuña et al. [63] | 2008 | Chile | Archipiélago de Juan Fernández | 33°38′S, 78°50′w | 40 | SAF solution | Teuscher Methods or Flotation of Willis | 2 | rural | 3 | 30.0 | 3.9 | 15 | ||||||||||||||||||||
Gorman et al. [31] | 2006 | Chile | Santiago de Chile | 33°27′S, 70°40′W | 582 | Flotation zinc sulfate and Sedimentation of Teleman modified | 2 | urban | 5 | 5.3 | 2.1 | 2.4 | 9.1 | 8.6 | |||||||||||||||||||
Irabedra et al. [64] | 2016 | Uruguay | 5356 | CoproElisa | 1 | 3.6 | |||||||||||||||||||||||||||
Irabedra et al. [64] | 2016 | Uruguay | 1496 | CoproElisa | 1 | 7.35 | |||||||||||||||||||||||||||
La Sala et al. [65] | 2015a | Argentina | Bahía Blanca | 38°44′S, 62°16′W | 475 | Formol 10% | Sedimentation of Ritchie | 1 | urban | 5 | 21.1 | 0.6 | 2.3 | 18.1 | |||||||||||||||||||
La Sala et al. [66] | 2015b | Argentina | Bahia Blanca | 38°43′S, 62°16′W | 475 | Direct observation | 1 | urban | 5 | 22.3 | 0.6 | 2.3 | 18.1 | ||||||||||||||||||||
Lamberti et al . [67] | 2014 | Argentina | Gra. Pico | 35°39′S, 63°45′W | 785 | Flotation with ClNa | 1 | urban | 3 | 45.4 | 7.1 | 25.8 | |||||||||||||||||||||
Lamberti et al. [68] | 2015 | Argentina | Gral Pico | 35°40′S, 63°44′W | 1229 | Flotation with ClNa and ZnSO4 | 2 | urban | 3 | 45.4 | 6.4 | 21.9 | |||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | El Bolsón | 41°58′S, 71°32′W | 68 | Copro, Elisa and WB | 2 | rural | 1 | 11.8 | |||||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | El Cuy | 39°56′S, 68°20′W | 81 | Copro, Elisa and WB | 2 | rural | 1 | 6.1 | |||||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | Ñorquinco | 41°51′S, 70°54′W | 47 | Copro, Elisa and WB | 2 | rural | 1 | 6.4 | |||||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | Pilcaniyeu | 41°07′S, 70°43′W | 19 | Copro, Elisa and WB | 2 | rural | 1 | 5.3 | |||||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | Comallo | 41°02′S, 70°16′W | 12 | Copro, Elisa and WB | 2 | rural | 1 | 8.3 | |||||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | Ingeniero Jacobacci | 41°18′S, 69°35′W | 108 | Copro, Elisa and WB | 2 | rural | 1 | 7.4 | |||||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | Maquinchao | 41°15′S, 68°42′W | 16 | Copro, Elisa and WB | 2 | rural | 1 | 12.5 | |||||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | Los Menucos | 40°50′S, 68°05′W | 37 | Copro, Elisa and WB | 2 | rural | 1 | 5.4 | |||||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | Sierra Colorada | 40°35′S, 67°45′W | 42 | Copro, Elisa and WB | 2 | rural | 1 | 2.4 | |||||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | Valcheta | 40°42′S, 66°09′W | 106 | Copro, Elisa and WB | 2 | rural | 1 | 4.7 | |||||||||||||||||||||||
Larrieu et al. [69] | 2014 | Argentina | Sierra Grande | 41°36′S, 65°21'W | 14 | Copro, Elisa and WB | 2 | rural | 1 | 7.2 | |||||||||||||||||||||||
Lavallén et al. [70] | 2011 | Argentina | Gral Pueyrredon | 38°00′S, 57°33′W | 46 | Formol 10% | Sediemtation of Ritchie and Flotation of Sheater and coproELISA | 3 | urban | 6 | 71.74 | 41.3 | 8.6 | 17.36 | 63.04 | 45.65 | |||||||||||||||||
Lopez et al. [71] | 2006 | Chile | Santiago de Chile | 33°27′S, 70°40′W | 972 | PAF fenol, alcohol and formaldehído | Burrows Technique | 1 | urban | 7 | 1.8 | 2.2 | 0.4 | 1.4 | 11.1 | 8.9 | 1.2 | ||||||||||||||||
Luzio et al. [72] | 2013 | Chile | Tomé | 36°37′S, 72°57′W | 223 | PAF fenol, alcohol and formaldehído | Burrows Technique | 1 | urban | 9 | 8.1 | 0.9 | 9.9 | 2.7 | 3.1 | 1.8 | 6.3 | 22.9 | 8.1 | ||||||||||||||
Luzio et al. [73] | 2015 | Chile | Santa de los Angeles | 37°28'S, 72°21'W | 452 | PAF fenol, alcohol and formaldehído | Burrows Technique | 2 | urban | 7 | 4.2 | 0.44 | 2.6 | 0.44 | 1.6 | 1.3 | 9.3 | ||||||||||||||||
Luzio et al. [74] | 2017 | Chile | Concepcion | 36°49′S, 73°03′W | 64 | PAF fenol, alcohol and formaldehído | Burrows Technique | 1 | urban | 5 | 8.5 | 29 | 4.5 | 6.3 | 29.7 | ||||||||||||||||||
Madrid et al. [75] | 2008 | Argentina | Mar del Plata | 38°00′S, 57°33′W | 358 | Flotation with NaCl | 1 | urban | 7 | 18.9 | 11.5 | 1.1 | 0.6 | 5.9 | 13.4 | ||||||||||||||||||
Marder et al. [76] | 2004 | Argentina | Ciudad de Corrientes | 27°25’S, 58°52’W | 900 | Flotation of Willis, Sheater and Faust | 3 | urban | 3 | 64.5 | 7.6 | 3.1 | |||||||||||||||||||||
Martin et al. [77] | 2008 | Argentina | Paraná | 31°44′S, 60°31′W | 61 | Solución salina 5% | Concentration methods | 1 | urban | 2 | 67.0 | 7.0 | |||||||||||||||||||||
Martin et al. [77] | 2008 | Argentina | Santa Fé | 31°38′S, 60°42′W | 200 | Solución salina 5% | Concentration methods | 1 | urban | 3 | 14.0 | 62.0 | 12.0 | ||||||||||||||||||||
Martin et al. [77] | 2008 | Argentina | Avellaneda (Santa Fé) | 29°07′S, 59°39′W | 15 | Solución salina 5% | Concentration methods | 1 | urban | 3 | 5.0 | 6.0 | 1.0 | ||||||||||||||||||||
Martin et al. [77] | 2008 | Argentina | Reconquista (Santa Fé) | 29°09′S, 59°39′W | 10 | Solución salina 5% | Concentration methods | 1 | urban | 2 | 5.0 | 5.0 | |||||||||||||||||||||
Martin et al. [77] | 2008 | Argentina | Calchaquí (Santa Fé) | 29°53′S, 60°16′W | 17 | Solución salina 5% | Concentration methods | 1 | urban | 3 | 2.0 | 5.0 | 1.0 | ||||||||||||||||||||
Martin et al. [77] | 2008 | Argentina | Hersilia (Santa Fé) | 30°00′S, 61°51′W | 12 | Solución salina 5% | Concentration methods | 1 | urban | 3 | 4.0 | 5.0 | 1.0 | ||||||||||||||||||||
Martin et al. [77] | 2008 | Argentina | San Carlos Centro (Santa Fé) | 31°44′S, 61°06′W | 24 | Solución salina 5% | Concentration methods | 1 | urban | 3 | 8.0 | 6.0 | 3.0 | ||||||||||||||||||||
Martin et al. [77] | 2008 | Argentina | Santo Tomé (Santa Fé) | 31°40′S, 60°46′W | 54 | Solución salina 5% | Concentration methods | 1 | urban | 3 | 9.0 | 5.0 | 2.0 | ||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Arica | 18°28′S, 70°19′W | 50 | Sedimentation and Harada, Mori | 2 | urban | 2 | 2 | 4 | ||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Antofagasta | 23°38′S, 70°23′W | 50 | Sedimentation and Harada, Mori | 2 | urban | 2 | 2 | |||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Illapel | 31°37′S, 71°10′W | 50 | Sedimentation and Harada, Mori | 2 | urban | 2 | 7.2 | 10 | ||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Viña del Mar | 33°01′S, 71°33′W | 27 | Sedimentation and Harada, Mori | 2 | urban | 2 | ||||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Valparaiso | 33°02′S, 71°37′W | 40 | Sedimentation and Harada, Mori | 2 | urban | 2 | 10 | 12.5 | ||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | San Felipe | 32°45′S, 70°43′W | 44 | Sedimentation and Harada, Mori | 2 | urban | 2 | 6.8 | |||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Santiago de Chile | 33°27′S, 70°40′W | 54 | Sedimentation and Harada, Mori | 2 | urban | 2 | 1.9 | |||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Rancagua | 34°09′S, 70°44′W | 27 | Sedimentation and Harada, Mori | 2 | urban | 2 | 7.4 | |||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | San Fernando | 34°35′S, 70°59′W | 50 | Sedimentation and Harada, Mori | 2 | urban | 2 | 24 | 8 | ||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Concepcion | 36°49′S, 73°03′W | 49 | Sedimentation and Harada, Mori | 2 | urban | 2 | 8.2 | 6.1 | ||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Temuco | 38°44′S, 72°35′W | 50 | Sedimentation and Harada, Mori | 2 | urban | 2 | 40 | 4 | ||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Valdivia | 39°48′S, 73°14′W | 50 | Sedimentation and Harada, Mori | 2 | urban | 2 | 20 | 4 | ||||||||||||||||||||||
Mercado et al. [78] | 2004 | Chile | Punta Arenas | 53°09′S, 70°54′W | 54 | Sedimentation and Harada, Mori | 2 | urban | 2 | 1.9 | |||||||||||||||||||||||
Milano et al. [79] | 2005 | Argentina | Ciudad de Corrientes | 27°25’S, 58°52’W | 61 | Formol 10% | Sedimentation and flotation of Willis | 2 | urban | 4 | 32.8 | 1.6 | 26.3 | 3.3 | |||||||||||||||||||
Milano et al. [79] | 2005 | Argentina | Ciudad de Corrientes | 27°25’S, 58°52’W | 40 | Formol 10% | Sedimentation and flotation of Willis | 2 | urban | 4 | 35.0 | 2.5 | 17.5 | 2.5 | |||||||||||||||||||
Milano et al. [79] | 2005 | Argentina | Ciudad de Corrientes | 27°25’S, 58°52’W | 40 | Formol 10% | Sedimentation and flotation of Willis | 2 | urban | 4 | 35.0 | 12.5 | 12.5 | 10.0 | |||||||||||||||||||
Milano et al. [79] | 2005 | Argentina | Ciudad de Corrientes | 27°25’S, 58°52’W | 32 | Formol 10% | Sedimentation and flotation of Willis | 2 | urban | 3 | 50.0 | 15.6 | 9.4 | ||||||||||||||||||||
Milano et al. [79] | 2005 | Argentina | Ciudad de Corrientes | 27°25’S, 58°52’W | 40 | Formol 10% | Sedimentation and flotation of Willis | 2 | urban | 4 | 45.0 | 2.5 | 20.0 | 2.5 | |||||||||||||||||||
Milano et al. [79] | 2005 | Argentina | Ciudad de Corrientes | 27°25’S, 58°52’W | 33 | Formol 10% | Sedimentation and flotation of Willis | 2 | urban | 3 | 48.2 | 6.0 | 3.0 | ||||||||||||||||||||
Milano et al. [79] | 2005 | Argentina | Ciudad de Corrientes | 27°25’S, 58°52’W | 34 | Formol 10% | Sedimentation and flotation of Willis | 2 | urban | 3 | 38.2 | 17.6 | 5.9 | ||||||||||||||||||||
Milano et al. [79] | 2005 | Argentina | Ciudad de Corrientes | 27°25’S, 58°52’W | 44 | Formol 10% | Sedimentation and flotation of Willis | 2 | urban | 4 | 43.2 | 4.5 | 6.8 | ||||||||||||||||||||
Milano et al. [79] | 2005 | Argentina | Ciudad de Corrientes | 27°25’S, 58°52’W | 38 | Formol 10% | Sedimentation and flotation of Willis | 2 | urban | 4 | 50.0 | 2.6 | 15.8 | 7.9 | |||||||||||||||||||
Motta et al . [80] | 2019 | Argentina | Rio Cuarto | 33°07′S, 64°20′W | 493 | Formol 10% | Flotation of Willis, and Sheather, and Sedimentation | 3 | urban | 5 | 30.83 | 0.61 | 1.42 | 6.9 | 9.94 | ||||||||||||||||||
Natalini et al . [81] | 2020 | Argentina | Parque Nac Mburucuya | 27°58′S, 57°59′W | 28 | Formol 10% | Flotation Sheater and sedimentation of Ritchie | 2 | rural | 6 | 4 | 4 | 4 | 7 | 14 | 4 | 4 | ||||||||||||||||
Natalini et al . [81] | 2020 | Argentina | San Nicolás NP | 27°59′S, 57°35′W | 23 | Formol 10% | Flotation Sheater and Sedimentation of Ritchie | 2 | rural | 3 | 52 | 9 | 9 | ||||||||||||||||||||
Oku et al. [82] | 2004 | Uruguay | Tacuarembo | 31°42′S, 55°58′W | 79 | Necropsy | 1 | urban | 4 | 38 | 23 | 1 | 8 | ||||||||||||||||||||
Oku et al. [82] | 2004 | Uruguay | 31°45′S, 55°58′W | -31.75 | Necropsy | 1 | rural | 6 | 1 | 30 | 3.49 | 4 | 23 | 3 | |||||||||||||||||||
Olivares et al. [83] | 2014 | Chile | Temuco | 37°24'S, 72°36'W | 102 | Flotation and Sedimentation of Teuscher | 1 | urban | 4 | 21.5 | 12.7 | 21.5 | 35.2 | ||||||||||||||||||||
Opazo et al. [84] | 2019 | Chile | Valparaiso | 33°02′S, 71°37′W | 30 | PAF fenol, alcohol and formaldehído | Burrows Technique | 1 | rural | 6 | 7 | 13 | 17 | 17 | 40 | 3 | |||||||||||||||||
Oyarzun et al. [85] | 2019 | Chile | Contulmo | 38°00′S, 73°14′W | 270 | Alcohol | Sedimentation and Flotation of Teuscher | 1 | rural | 5 | 25.5 | 4 | 53.9 | 30.5 | 15.6 | ||||||||||||||||||
Parra et al. [86] | 2017 | Argentina | Ancajuli | 26°35′S, 65°33′W | 43 | CoproElisa | 1 | rural | 1 | 13 | |||||||||||||||||||||||
Parra et al. [86] | 2017 | Argentina | Anfama | 26°45′S, 65°34′W | 22 | CoproElisa | 1 | rural | 1 | 7 | |||||||||||||||||||||||
Parra et al. [86] | 2017 | Argentina | Chaquivil | 26°41′S, 65°36′W | 7 | CoproElisa | 1 | rural | 1 | 4 | |||||||||||||||||||||||
Parra et al. [86] | 2017 | Argentina | La Hoyada | 26°41′S, 65°31′W | 5 | CoproElisa | 1 | rural | 1 | 3 | |||||||||||||||||||||||
Parra et al. [86] | 2017 | Argentina | Mala Mala | 26°47′S, 65°33′W | 9 | CoproElisa | 1 | rural | 1 | 6 | |||||||||||||||||||||||
Parra et al. [86] | 2017 | Argentina | San José de Chasquivil | 26°41′S, 65°36′W | 17 | CoproElisa | 1 | rural | 1 | 8 | |||||||||||||||||||||||
Perez et al. [87] | 2006 | Argentina | Rio Negro | 40°48′S, 63°00′W | 416 | Copro, Elisa and WB | 2 | 2 | 4.6 | 14.9 | |||||||||||||||||||||||
Quilodrán-González et al. [88] | 2018 | Chile | Cabrero | 37°2'S, 72°24'W | 83 | Flotation of Sheater | 1 | urban | 1 | 41 | 4.8 | 4.8 | 13.3 | ||||||||||||||||||||
Quilodrán-González et al. [88] | 2018 | Chile | Cabrero | 37°2'S, 72°24'W | 10 | Flotation of Sheater | 1 | rural | 2 | 60 | 10 | ||||||||||||||||||||||
Radman et al. [89] | 2006 | Argentina | Capital Federal | 34°34S, 58°31W | 125 | Flotation of Fülleborn | 1 | urban | 1 | 51.2 | |||||||||||||||||||||||
Rivero et al. [90] | 2015 | Argentina | Puerto Iguazú y alrededres | 25°35′S, 54°34′W | 405 | Formol 10% | Flotation of Sheater and Sedimentation of Telemann | 2 | rural | 1 | 0.49 | ||||||||||||||||||||||
Rivero et al. [91] | 2017 | Argentina | Puerto Iguazú y alrededres | 25°35′S, 54°34′W | 530 | Formol 10% | Direct with lugol, Flotation of Sheater and Sedimentation of Teleman | 3 | urban | 8 | 0.9 | 0.9 | 1.3 | 55.6 | 0.4 | 3.9 | 13.4 | 12.1 | |||||||||||||||
Rodriguez et al. [92] | 2005 | Argentina | Mar del Plata | 38°00′S, 57°33′W | 171 | Flotation and Sedimentation | 2 | urban | 6 | 67.8 | 42.4 | 1.5 | 5.6 | 6.8 | 52.2 | ||||||||||||||||||
Roth et al. [93] | 2018 | Argentina | Bariloche | 41°08′S, 71°27′W | 118 | Freezado | Flotation of Sheater and Sedimentation of Telemann | 2 | urban | 1 | 16.9 | ||||||||||||||||||||||
Rubel et al. [94] | 2003 | Argentina | Capital Federal | 34°34S, 58°31W | 31 | Formol 5% | Sedimentation of Teleman | 1 | urban | 1 | 14.0 | ||||||||||||||||||||||
Rubel et al. [95] | 2005 | Argentina | Capital Federal | 34°34S, 58°31’W | 2417 | Formol 5% | Sedimentation of Teleman | 1 | urban | 4 | 33.5 | 0.7 | 13.0 | 32.0 | |||||||||||||||||||
Rubel et al. [96] | 2010 | Argentina | Capital Federal | 34°34’S, 58°31’W | 421 | Formol 5% | Flotation of Willis | 1 | urban | 7 | 26.0 | 0.6 | 0.9 | 0.6 | 0.2 | 1.7 | 4.0 | ||||||||||||||||
Rubel et al. [97] | 2019 | Argentina | Buenos Aires | 34°37′S, 58°25′W | 112 | Centrifugation and Flotation of Sheater | 2 | urban | 4 | 20.5 | 0.9 | 1.8 | 3.6 | ||||||||||||||||||||
Sánchez et al. [98] | 2003 | Argentina | Comodoro Rivadavia y Rada Tilly | 45°S, 68°W | 481 | Formol 5% | Sedimentation de Teleman and Flotation de Willis | 2 | urban | 6 | 1.0 | 0.2 | 0.2 | 2.6 | 3.6 | 17.9 | |||||||||||||||||
Sánchez Thevenet et al. [99] | 2003 | Argentina | Comodoro Rivadavia | 45°S, 68°W | 163 | Formol 5% | Sedimentation of Teleman and Flotation of Willis | 2 | urban | 6 | 0.8 | 0.3 | 1.6 | 1.4 | 8.8 | ||||||||||||||||||
Semenas et al. [100] | 2014 | Argentina | Bariloche | 41°10’S, 71°18’W | 54 | Sedimentation of Teleman and Flotation of Sheater | 2 | urban | 10 | 1.8 | 3.7 | 12.8 | 3.6 | 1.8 | 12.8 | 7.3 | 1.8 | 11.0 | 29.3 | ||||||||||||||
Soriano et al. [101] | 2010 | Argentina | Neuquen rural | 38°14′S, 69°46′W | 1298 | Formol 5% | Flotation and Sedimentation | 2 | rural | 8 | 0.15 | 0.15 | 0.15 | 17.87 | 0.84 | 16.4 | 1.3 | 0.3 | |||||||||||||||
Soriano et al. [101] | 2010 | Argentina | Neuquén urbano (neuquen y chos malal | 37°23′S, 70°17′W | 646 | Formol 5% | Flotation and Sedimentation | 2 | urban | 6 | 0.93 | 0.31 | 2.17 | 16.1 | 15.63 | ||||||||||||||||||
Souto et al. [102] | 2016 | Argentina | El Chalía (Chubut) | 45°41′S, 70°59′W | 22 | Formol 10% | Sedimentation of Teleman, Flotation of Willis and copro, Elisa | 3 | rural | 2 | 13.6 | 9.1 | |||||||||||||||||||||
Taranto et al. [103] | 2000 | Argentina | Fortín Dragones y Misión Chaqueña | 23°15’S, 63°20’W | 106 | Directo, Flotation of Willis and centrifugation | 3 | urban | 4 | 69.8 | 1.9 | 17.2 | 7.5 | ||||||||||||||||||||
Torres et al. [104] | 2004 | Chile | Panguipulli | 39°38′S, 72°20′W | 109 | PAF fenol, alcohol y formaldehído | Sedimentation | 1 | urban | 1 | 1.8 | ||||||||||||||||||||||
Torres et al. [104] | 2004 | Chile | Choshuenco | 39°50′S, 72°04′W | 22 | PAF fenol, alcohol y formaldehído | Sedimentation | 1 | urban | 1 | 4.5 | ||||||||||||||||||||||
Vargas et al. [105] | 2016 | Chile | Niebla | 39°48'S, 73°14'W | 78 | Formol salino | Sedimentation of Telemann modified, Flotation Sulphate Zinc, método cuantitativo | 3 | 1 | 15.4 | |||||||||||||||||||||||
Vargas et al. [105] | 2016 | Chile | Valdivia | 39°48'S, 73°14'W | 77 | Formol salino | Sedimentation of Telemann modified, Flotation Sulphate Zinc, método cuantitativo | 3 | urban | 1 | 15.6 | ||||||||||||||||||||||
Winter et al. [106] | 2018 | Argentina | Viedma | 40°48’S, 62°59’W | 531 | Flotation de Sheater | 1 | urban | 6 | 33.8 | 2.2 | 0.7 | 2.9 | 22.8 | 40.4 | ||||||||||||||||||
Zonta et al [107] | 2019 | Argentina | Clorinda (Formosa) | 25°17'S, 57°43'W | 16 | Formol | Sedimentation of Ritchie and Flotation of Willis | 2 | urban | 4 | 62.5 | 37.5 | |||||||||||||||||||||
Zunino et al. [108] | 2000 | Argentina | Comodoro Rivadavia | 45°S, 68°W | 31 | Formol 5% | Flotation of Willis | 1 | urban | 2 | 9.7 | 3.3 | |||||||||||||||||||||
Zunino et al. [108] | 2000 | Argentina | Trelew | 43°15′S, 65°18′W | 30 | Formol 5% | Flotation of Willis | 1 | urban | 3 | 3.3 | 3.3 | 33.3 | ||||||||||||||||||||
Zunino et al. [108] | 2000 | Argentina | Puerto Madryn | 42°46′S, 65°02′W | 29 | Formol 5% | Flotation of Willis | 1 | urban | 1 | 10.3 | ||||||||||||||||||||||
Zunino et al. [108] | 2000 | Argentina | Sarmiento | 45°36′S, 69°05′ | 29 | Formol 5% | Flotation of Willis | 1 | urban | 3 | 6.9 | 6.9 | 24.1 | ||||||||||||||||||||
Zunino et al. [108] | 2000 | Argentina | Esquel | 42°54′S, 71°19'W | 29 | Formol 5% | Flotation of Willis | 1 | urban | 3 | 6.9 | 3.4 | 13.8 | ||||||||||||||||||||
Zunino et al. [108] | 2000 | Argentina | Lago Puelo | 42°09′S, 71°38′W | 30 | Formol 5% | Flotation of Willis | 1 | urban | 3 | 16.7 | 6.9 | 20.0 |
Table 1.
Data extracted from the 67 articles selected for analysis.
The number of copro-parasitological techniques used in each study varied between 1 and 3, with a total of 15 different methods (Table 1). The most commonly used techniques were Willis flotation (20 reports), Sheater flotation (15 reports) and Telemann sedimentation (14 reports). In Uruguay only two methods were used: necropsy of stray dogs and coproELISA for
More than 140 sites were analysed in Chile and Argentina (Figure 2, Table 1); however, the number of sites analysed in Uruguay could not be determined as this information is not given in the 2 selected studies. In Argentina and Chile, a total of 104 urban sites and 43 rural areas were considered (Table 2).

Figure 2.
Distribution of collection sites and species richness in each site.
Country | Number of studies analysed | Number of sites analysed | Rural Sites | Urban Sites | Total collected faeces (range) | Richness (Range) | Number of Techniques used |
---|---|---|---|---|---|---|---|
48 | 110 | 38 | 76 | 18,812 (4–2417) | 17 (1–10) | 13 | |
19 | 33 | 5 | 28 | 4,574 (10–972), | 14 (1–9) | 11 | |
2 | not reported | not reported | not reported | 7,134 (79–5356) | 6 (1–6) | 2 |
Table 2.
Summary of studies: Total number of reports analysed for the three countries, number of rural and urban sites, collected samples, techniques used, and species richness.
A total of 22 parasite taxa was recorded (Table 3): 1 trematode (Trematoda sp.), 7 cestodes (
Parasite species | Total Number of Sites | Mean prevalence (SD) | Number of positive urban sites | Mean prevalence in urban sites (SD) | Number of positive rural sites | Mean prevalence in rural sites (SD) |
---|---|---|---|---|---|---|
14 | 5.7 ± 6.2 | 10 | 7.8 ± 6.3 | 4 | 0.6 ± 0.4 | |
21 | 5.6 ± 10.3 | 16 | 4.1 ± 9.3 | 5 | 10.5 ± 12.8 | |
52 | 7.9 ± 7.1 | 14 | 12.9 ± 9.9 | 38 | 6 ± 4.7 | |
16 | 5.1 ± 5.9 | 12 | 3.4 ± 4.2 | 4 | 10.3 ± 7.5 | |
9 | 9 ± 10.5 | 7 | 3.9 ± 2.7 | 2 | 26.8 ± 5.3 | |
2 | 2.5 ± 2.1 | 1 | 1 | 1 | 4 | |
1 | 3 | 1 | 3 | |||
60 | 14.7 ± 14.7 | 53 | 15.3 ± 15.3 | 7 | 10.3 ± 8.7 | |
4 | 14.9 ± 8.8 | 1 | 17.4 | 3 | 14.1 ± 10.5 | |
2 | 1.8 ± 0.6 | 2 | 1.8 ± 0.6 | |||
11 | 3.9 ± 6.1 | 11 | 3.9 ± 6.1 | |||
19 | 12 ± 16.1 | 14 | 5.6 ± 4.2 | 5 | 30.1 ± 22.7 | |
6 | 24.2 ± 23.5 | 3 | 16 ± 21.7 | 3 | 32.3 ± 26.6 | |
66 | 29 ± 23.4 | 62 | 29.7 ± 23.3 | 3 | 21.4 ± 27.2 | |
21 | 17.3 ± 18.5 | 17 | 18 ± 20.2 | 4 | 14.2 ± 8.8 | |
8 | 7.6 ± 6.2 | 6 | 9.3 ± 6.1 | 2 | 2.5 ± 2.2 | |
13 | 2.7 ± 3.2 | 11 | 2.7 ± 3.5 | 2 | 2.4 ± 2.2 | |
86 | 13.6 ± 11.6 | 80 | 13.4 ± 11.5 | 6 | 15.9 ± 12.8 | |
3 | 3.4 ± 2.3 | 3 | 3.4 ± 2.3 | |||
1 | 1.2 | 1 | 1.2 | |||
1 | 0.3 | 1 | 0.3 |
Table 3.
Species recorded in the studies analysed, their distribution (urban versus rural) and mean intensity.

Figure 3.
Distribution of Cestoda collected in Argentina, Chile and Uruguay. A.:

Figure 4.
Distribution of Nematoda (part 1) in Argentina, Chile and Uruguay. A.: Ancylostomatidae.; B.:

Figure 5.
Distribution of Nematoda (part 2) in Argentina, Chile and Uruguay. A.:
The most frequently recorded species was
The species richness in urban areas (20 species) was slightly higher than in rural areas (17 species) (Table 3). In addition, a higher number of zoonotic species was recorded in urban areas, species such as
Country | Urban | Rural | |||||
---|---|---|---|---|---|---|---|
16 (1–10) | 3.8 | 10 (1–8) | 1.7 | 7/17 | |||
14 (1–9) | 2.8 | 8 (1–6) | 3 | 7/14 |
Table 4.
Characterisation of urban and rural areas in terms of richness and most widespread species, present in Argentina and Chile.
Of the total taxa recorded, 14 (63.6%) have been registered in humans:
4. Discussion
4.1 State of knowledge and distribution
Although three databases were used, this work could have some bias due to the exclusion of grey literature, like technical reports, congress abstracts or thesis manuscripts, so some sites or negative data may be excluded in the analysis [109]. The systematic bibliographic review carried out shows that the published and available knowledge of the occurrence and distribution of helminths in dogs is scarce in southern South America; in countries such as Uruguay there are no records other than those obtained within the Echinococcosis National Programmes. Furthermore, in Argentina there are arid regions near the Andes, such as the northwest of the country, where there are no records of parasites in dogs. The same was observed for Chile south to 40°s, except for one record in Punta Arenas, the southernmost city in Chile. Most of the records are associated with large cities and their surroundings, such as Buenos Aires and La Plata in Argentina, and in the area of Santiago de Chile, Concepción, and Temuco in Chile.
Although sample size is the only factor that significantly affected richness, other factors to consider could be the analytical methods used and whether the sample was fixed or not. Sample size affects the results, generating deviations in the number of species and in their prevalence, especially in places where the sample size was too low. On the other hand, a lack of methodological specifications can be observed in the techniques used. This could imply potential biases in the reporting and/or interpretation of data. In order to obtain data of higher quality, a general consensus should be reached on the techniques to be applied. It is also desirable to apply molecular techniques that allow parasite identification to species level, thus solving records identified to family level, such as “Ancylostomatidae” or “Strongylids”, or the recording of species outside their natural range of distribution, like
The presence of a greater number of species, most of which have zoonotic potential, in urban areas than rural ones is probably due to the fact that dogs can roam freely. Dogs spread the parasite eggs, thereby these areas will function as contagion points for both other dogs and humans. A further problem is that deworming in these countries is insufficient [21]. A similar situation has been detected in parks in the United States, where it has been suggested that dogs are at risk of infection with parasites at these sites, and it has been recommended that preventive strategies be considered [30, 110]. Some parasitic infections could become increasingly urbanised, and an estimation for 2050 indicates that up to two-thirds of the global population will live in megacities. The slums of these megacities would concentrate high levels of intestinal helminth. Toxocariasis and other urban soil-transmitted helminths are important, yet little studied, health issues in the cities of the Americas [111].
The zoonotic broad tapeworm,
4.2 Zoonoses and human cases reported
The high percentage of parasites with zoonotic potential reinforces the need to establish effective prevention measures, not only with regard to parasitosis in animals but also to transmission to humans. This situation highlights the need for better integration between specialists in animal and human health [74]. A few diseases transmitted by dogs have surveillance mechanisms in humans, but there are many other important zoonoses worldwide, with numerous human cases, which are not kept watch on. Some of these have been recorded in Argentina and Chile, such as those caused by
4.2.1 Cystic echinococcosis
Cystic echinococcosis or hydatidosis, produced by
4.2.2 Toxocariasis
Toxocariasis is an infection that has a worldwide distribution and is a very important zoonosis due to its frequent occurrence in humans [119]. The estimate of the overall worldwide prevalence of
4.2.3 Ancylostomiasis
Dog hookworms are
4.2.4 Strongyloidiasis
Strongyloidiasis is prevalent in remote socioeconomically disadvantaged communities around the world, and dogs can act as reservoirs of human strongyloidiasis [128]. This parasitosis is registered in the north of Argentina, with similar infection values in both rural and urban populations and an overall seroprevalence of 19.6% [129, 130]. In Chile, the seroprevalence is much lower (0.25%) in blood donors from Arica and La Union. Human infections by
5. General conclusions
This review shows that knowledge of canine helminths in southern South America is scarce. The studies published on dog parasites are not equally distributed across the three countries, with Uruguay presenting the least amount of available information. Data on dog parasites in southern South America is still too incipient for identification of a clear distribution pattern. Homogenisation of criteria would be beneficial, since the methods used are diverse and heterogeneous, some studies using only flotation or sedimentation techniques. Numerous parasitic species were recorded, many of which are zoonotic and widely distributed throughout both urban and rural areas of these countries. The risk of dogs becoming infected is high given the number of parasites present and the style of pet ownership in the communities of these countries, where dogs are allowed to roam freely, and veterinary care is scarce. The high percentage of zoonotic helminths reinforces the need to establish effective prevention measures, not only for parasitosis in animals but also for transmission to humans. Considering that people in both urban and rural areas are at risk of being infected with zoonoses transmitted by dogs, given the high levels of infection they present in their faeces, a One Health approach to public health would be desirable, such that humans and dogs should be treated concomitantly to control the parasites. Furthermore, it would be desirable to implement measures such as control of the canine population, mass treatment of dogs with anthelmintics, education programmes and healthcare alert systems.