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Cited by 320

The DOI matches its Crossref record; 98 of the 98 references it cites were found in a registry or an index.

Evolution in Health and Disease

·2007

Abstract

It is now increasingly acknowledged that an evolutionary perspective can give us important new insights into issues central to medical research and practice. This fully revised and updated edition, which consists of roughly 95% new material, contains contributions from leading researchers who provide a fresh summary of this rapidly expanding field. It takes a broad approach to the subject, discussing medically relevant research from evolutionary genetics, evolutionary ecology, evolutionary epidemiology, the evolution of aging, and any other biological disciplines where evolutionary approaches make important contributions. The medical conditions discussed include diabetes, obesity, cardiovascular disease, asthma, allergies and other autoimmune diseases, infectious diseases, emerging diseases, and aging. It also provides insights into the evolutionary responses of pathogens to antibiotics and vaccines. What will happen if we continue to expand our use of antibiotics and vaccines? Why do we respond inappropriately (for example by developing cardiovascular disease) to many modern conditions? How do cancers evolve, particularly in response to chemotherapy? Why must we grow old, and can we do anything about it? This book discusses answers to these and many other questions.

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Crossref · 10.1093/acprof:oso/9780199207466.001.0001

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Metadata

Published
2007-11-22
OpenAlex
W4206473729
Cited by
320
References
98
FWCI
18.98
Type
book
Language
en
Open access
closed

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CoChat. (2026). Citation check: Evolution in Health and Disease. https://app.cochat.ai/papers/10.1093/acprof:oso/9780199207466.001.0001
The paper
Evolution in Health and Disease. (2007). https://doi.org/10.1093/acprof%3Aoso/9780199207466.001.0001

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.