Open access peer-reviewed Edited Volume

Quality of Life Interventions - Magnitude of Effect and Transferability

Sage Arbor

Duke University School of Medicine

A computational biologist that has worked across a broad biomedical spectrum to optimize human health, Dr. Arbor combines research from academia (Duke, Washington University) and companies (Pfizer, Dupont) to deliver datasets to the wider scientific community. His recent focus includes quality of life modifiers and bioethical versus religious standards.

Covering

Health Lifespan Obesity Pollution Culture Government Demographics Race GDP Age Rate of Change Automation

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About the book

The Quality of Life for an individual and society at large is determined by both personal and state-level decisions. The magnitude of the effect of interventions that modify one Quality Adjusted Life Years (QALYs) will be compared, and the transferability of these interventions globally will be investigated by comparison between different socio-economic countries with different government structures (from socialist to autocratic). The reproducibility and cost of the lifestyle interventions (e.g., exercise, sleep, nutritious diet, national child care, pollution limitations) on QALYs will also be documented. The ratio of (QALY/Cost) weighted by reproducibility and transferability should give a rank-ordered list of actions humans can take to increase the quality years of human consciousness. Differences in the optimized list of rank-ordered interventions to maximize the quality of life between nation-states with varying GDP and government types (i.e., the lack of transferability) will be discussed. These local maximums for QALY optimization will be discussed in light of possible avenues that allow countries to overcome national hurdles that allow them to reach greater QALY global maximums.

This book welcomes topics related to the quality of life measurements (QALYs) both within a community and between disparate societies, as well as the transferability/durability of these QALY gains.

Publishing process

Book initiated and editor appointed

Date completed: May 5th 2022

Applications to edit the book are assessed and a suitable editor is selected, at which point the process begins.

Chapter proposals submitted and reviewed

Deadline for chapter proposals: June 2nd 2022

Potential authors submit chapter proposals ready for review by the academic editor and our publishing review team.

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Approved chapters written in full and submitted

Deadline for full chapters: August 1st 2022

Once approved by the academic editor and publishing review team, chapters are written and submitted according to pre-agreed parameters

Full chapters peer reviewed

Review results due: October 20th 2022

Full chapter manuscripts are screened for plagiarism and undergo a Main Editor Peer Review. Results are sent to authors within 30 days of submission, with suggestions for rounds of revisions.

Book compiled, published and promoted

Expected publication date: December 19th 2022

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About the editor

Sage Arbor

Duke University School of Medicine

Sage Arbor is a computational biologist whose research includes fields ranging from drug design, systems biology, and epigenetic database creation to fitness app development. His work spans a broad biomedical spectrum from drug design to clinical trial analysis, including being a medical school professor and researcher, project management of developers/analysts of globally distributed labs, electronic medical record data mining (SQL and NoSQL), Python/pandas coding, data segmentation, 6σ improvement, pathway mapping, and computational drug design and synthesis. Having worked at multiple academic institutions (Duke, Marian University) and companies (e.g., Pfizer and Dupont), his research has been on both proprietary and open-access datasets for publication to the wider scientific community. His recent publication topics include quality of life modifiers, therapeutic interventions for Alzheimer\'s disease, bioethical versus religious standards, and scientific training in those deciding public policy.

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Book chapters authored 3

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