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| Anderson and May (book) | |
|---|---|
| Name | Anderson and May (book) |
| Author | Robert M. May, Roy M. Anderson |
| Country | United Kingdom |
| Language | English |
| Subject | Population biology, epidemiology, parasitology |
| Publisher | Oxford University Press |
| Pub date | 1991 |
| Media type | |
| Pages | 357 |
Anderson and May (book) is a landmark monograph in theoretical biology that applied mathematical models to interactions among hosts, parasites, and pathogens. The work synthesized approaches from population dynamics, ecology, epidemiology, and parasitology to shape research on infectious disease, conservation, and public health. It became foundational in linking quantitative theory with empirical work across multiple institutions and disciplines, influencing policy discussions in forums such as World Health Organization panels and advisory groups.
The book was authored by Roy M. Anderson, a researcher associated with Imperial College London and advisory bodies including the Sage (UK government) scientific committees, and Robert M. May, who held posts at University of Oxford, the Princeton University, and served as Chief Scientific Adviser to the UK Government. Both authors had prior influential papers in journals like Nature, Science, and Proceedings of the Royal Society B on topics ranging from chaos theory in populations to multihost parasite dynamics. Their collaboration drew on methodological advances from researchers such as Nicholas J. C. T. Hayward and interactions with laboratories at Wenner-Gren Institute and institutes like the Wellcome Trust-funded centers. The authors integrated theory developed in mathematical traditions stemming from figures like Alfred J. Lotka and Vito Volterra, while responding to empirical challenges encountered in field studies by groups at Smithsonian Institution and conservation programs managed by World Wildlife Fund.
Chapters introduce basic deterministic models such as susceptible-infected-removed (SIR) frameworks, connecting to classic work by William H. Hamer and A. G. McKendrick and extending to age-structured, spatially explicit, and stochastic formulations. The text covers host-parasite coevolution, density-dependent transmission, and thresholds for invasion linked to basic reproduction number concepts advanced in discussions at Centers for Disease Control and Prevention meetings. Mathematical tools presented include linear stability analysis, bifurcation theory influenced by Mitchell Feigenbaum's exposition of nonlinear dynamics, and stochastic process theory drawn from traditions associated with Andrei N. Kolmogorov. Empirical case studies involve diseases such as malaria, measles, and schistosomiasis, and host systems including rodents, ungulates, and human populations in case studies tied to fieldwork funded by United Nations development programs. Later sections examine control strategies, vaccination models, and implications for eradication campaigns like those advocated by Global Polio Eradication Initiative.
On publication the book was rapidly cited across journals including Journal of Theoretical Biology, Ecology Letters, and The Lancet, influencing research at institutions such as Harvard University, University of California, Berkeley, and London School of Hygiene & Tropical Medicine. It informed modeling used by public-health agencies including Public Health England, European Centre for Disease Prevention and Control, and World Health Organization working groups on neglected tropical diseases. The text became required reading in graduate courses at departments like Department of Zoology, University of Oxford and Department of Ecology and Evolutionary Biology, Princeton University, and shaped curricula at summer schools run by Santa Fe Institute and workshops held at Royal Society meetings. Awards and honors given to the authors, including fellowship elections to Royal Society and appointments linked to Order of the British Empire, elevated the profile of quantitative disease ecology internationally.
Originally published in 1991 by Oxford University Press, the book went through multiple printings and was issued in both hardcover and paperback formats distributed through academic outlets such as Cambridge University Press-aligned retailers. Subsequent reprints and translations expanded readership in regions served by Pan American Health Organization and university presses in India and China. The work was featured in collections at major libraries like the British Library and university repositories at Yale University and University of Tokyo. Companion reviews and symposium volumes appeared in edited collections produced by editors associated with Cambridge Conference proceedings and in special issues of the Philosophical Transactions of the Royal Society B.
The book catalyzed cross-disciplinary collaborations linking researchers from mathematics departments such as those at Massachusetts Institute of Technology with field ecologists at Smithsonian Tropical Research Institute and parasitologists at London School of Hygiene & Tropical Medicine. It informed applied projects targeting malaria control in Sub-Saharan Africa, vaccination policy in response to measles outbreaks in Southeast Asia, and modelling of zoonotic spillover studied by teams at Centers for Disease Control and Prevention and EcoHealth Alliance. Theoretical concepts from the book underpinned later advances in network epidemiology pursued at Los Alamos National Laboratory and influenced computational implementations in packages developed by groups at R Project-affiliated labs and software originating from Matlab toolboxes. Its synthesis of population ecology and disease dynamics shaped conservation disease management in programs run by IUCN and informed One Health frameworks endorsed by Food and Agriculture Organization.
Critiques of the book emerged from empirical ecologists and social scientists associated with institutions like University of California, Santa Cruz and Oxford Clinical School, who argued that idealized assumptions—mass action transmission, homogeneous mixing, and simplified host heterogeneity—limited applicability to complex real-world systems documented in studies by Peter Daszak and Katie Hampson. Debates at conferences including Ecological Society of America annual meetings highlighted tensions between mechanistic models in the book and data-driven statistical approaches favored by researchers at Imperial College London and London School of Hygiene & Tropical Medicine. Subsequent methodological work sought to relax assumptions through agent-based models developed by teams at Santa Fe Institute and to incorporate socioeconomic drivers emphasized by scholars associated with World Bank programs. Despite controversies, the book remains central to methodological discourse and continues to be cited in policy evaluations and academic debates.
Category:Biology books