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Infectious Diseases of Humans: Dynamics and Control
Abstract
This book combines mathematical models with extensive use of epidemiological and other data, to achieve a better understanding of the overall dynamics of populations of pathogens or parasites and their human hosts. The authors thus provide an analytical framework for evaluating public health strategies aimed at controlling or eradicating particular infections. With rising concern for programmes of primary health care against such diseases as measles, malaria, river blindness, sleeping sickness, and schistosomiasis in developing countries, and the advent of HIV/AIDS and other `emerging viruses', such a framework is increasingly important. Throughout, the mathematics is used as a tool for thinking clearly about fundamental and applied problems relating to infectious diseases. The book is divided into two major parts, one dealing with microparasites (viruses, bacteria, and protozoans) and the other with macroparasites (helminths and parasitic arthropods). Each part begins with simple models, developed in a biologically intuitive way, and then goes on to develop more complicated and realistic models as tools for public health planning. A major contribution by two of the leaders in the field, this book synthesizes previous work in this rapidly growing area with much new material, combining work scattered between the ecological and medical literature.
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Classical epidemic models such as the susceptible-infected-recovered (SIR) model have been used to study the diffusion of information, such as rumors or news.
“Classical epidemic models such as the susceptible–infected–recovered (SIR) model (44) have been used to study the diffusion of information, such as rumors or news (45–47).”
From The echo chamber effect on social media (2021) · cites this paper as [44]
Infectious diseases were a major source of morbidity and mortality, and hence of natural selection, in human evolutionary history.
“Infectious diseases were a major source of morbidity and mortality, and hence of natural selection, in human evolutionary history”
From Parasite-stress promotes in-group assortative sociality: The cases of strong family ties and heightened religiosity (2012) · cites this paper as Anderson & May 1991
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Metadata
- Authors
- Anderson, R. M., & May, R. M.
- Affiliations
- University of Oxford (GB)
- ORCID
- Anderson, Roy M
- Publisher
- Oxford University PressOxford
- Published
- 1991-05-16
- OpenAlex
- W4388299012
- Cited by
- 6,179
- References
- 0
- Citations by year
- 2026: 231 · 2025: 269 · 2024: 233 · 2023: 203 · 2022: 246 · 2021: 344 · 2020: 365 · 2019: 236 · 2018: 198 · 2017: 221 · 2016: 245 · 2015: 253 · 2014: 255 · 2013: 302 · 2012: 254
- FWCI
- 49.49
- Type
- book
- Language
- en
- Open access
- closed
- Topics
- Physical Sciences › Mathematics › Applied Mathematics › Mathematical and Theoretical Epidemiology and Ecology Models
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Life Sciences › Immunology and Microbiology › Parasitology › Parasite Biology and Host Interactions
- Keywords
- infectious diseases, host-pathogen dynamics, microparasites, macroparasites, helminths, parasitic arthropods, public health planning, disease control and eradication, measles, malaria, onchocerciasis, sleeping sickness, schistosomiasis, HIV/AIDS, emerging viruses, developing countries
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