A Historical Introduction to Mathematical Modeling of Infectious Diseases
Seminal Papers in Epidemiology
- 1st Edition - October 18, 2016
- Author: Ivo M. Foppa
- Language: English
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 0 2 2 6 0 - 3
- eBook ISBN:9 7 8 - 0 - 1 2 - 8 0 2 4 9 9 - 7
A Historical Introduction to Mathematical Modeling of Infectious Diseases: Seminal Papers in Epidemiology offers step-by-step help on how to navigate the important historica… Read more
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Request a sales quoteA Historical Introduction to Mathematical Modeling of Infectious Diseases: Seminal Papers in Epidemiology offers step-by-step help on how to navigate the important historical papers on the subject, beginning in the 18th century. The book carefully, and critically, guides the reader through seminal writings that helped revolutionize the field.
With pointed questions, prompts, and analysis, this book helps the non-mathematician develop their own perspective, relying purely on a basic knowledge of algebra, calculus, and statistics. By learning from the important moments in the field, from its conception to the 21st century, it enables readers to mature into competent practitioners of epidemiologic modeling.
- Presents a refreshing and in-depth look at key historical works of mathematical epidemiology
- Provides all the basic knowledge of mathematics readers need in order to understand the fundamentals of mathematical modeling of infectious diseases
- Includes questions, prompts, and answers to help apply historical solutions to modern day problems
- Dedication
- Introduction
- Motivation and short history (of this book)
- Structure and suggested use of the book
- Target audience
- Mathematical background
- Miscellaneous remarks
- References
- Acknowledgments
- 1: D. Bernoulli: A pioneer of epidemiologic modeling (1760)
- Abstract
- 1.1. Bernoulli and the “speckled monster”
- Appendix 1.A. Answers
- Appendix 1.B. Supplementary material
- References
- 2: P.D. En'ko: An early transmission model (1889)
- Abstract
- 2.1. Introduction
- 2.2. Assumptions
- 2.3. The model
- 2.4. Simulation model
- Appendix 2.A. Answers
- Appendix 2.B. Supplementary material
- References
- 3: W.H. Hamer (1906) and H. Soper (1929): Why diseases come and go
- Abstract
- 3.1. Introduction
- 3.2. Hamer: Variability and persistence
- 3.3. Soper: Periodicity in disease prevalence
- Appendix 3.A.
- Appendix 3.B. Answers
- Appendix 3.C. Supplementary material
- References
- 4: W.O. Kermack and A.G. McKendrick: A seminal contribution to the mathematical theory of epidemics (1927)
- Abstract
- 4.1. Introduction
- 4.2. General theory: (2) through (7)
- 4.3. Special cases: (8) through (13)
- Appendix 4.A.
- Appendix 4.B. Answers
- Appendix 4.C. Supplementary material
- References
- 5: R. Ross (1910, 1911) and G. Macdonald (1952) on the persistence of malaria
- Abstract
- 5.1. Introduction
- 5.2. Ross: What keeps malaria going?
- 5.3. George Macdonald: Malaria equilibrium beyond Ross
- Appendix 5.A. Answers
- References
- 6: M. Bartlett (1949), N.T. Bailey (1950, 1953) and P. Whittle (1955): Pioneers of stochastic transmission models
- Abstract
- 6.1. Introduction: Stochastic transmission models
- 6.2. Bailey: A simple stochastic transmission model
- 6.3. M.S. Bartlett: Infectious disease transmission as stochastic process
- 6.4. Bailey revisited: Final size of a stochastic epidemic
- 6.5. P. Whittle: Comment on Bailey
- Appendix 6.A. Answers
- Appendix 6.B. Supplementary material
- References
- 7: O. Diekmann, J. Heesterbeek, and J.A. Metz (1991) and P. Van den Driessche and J. Watmough (2002): The spread of infectious diseases in heterogeneous populations
- Abstract
- 7.1. Introduction: Non-homogeneous transmission
- 7.2. Diekmann, Heesterbeek and Metz: The basic reproduction number in heterogeneous populations I
- 7.3. P. Van den Driessche and J. Watmough: Reproduction numbers and sub-threshold endemic equilibria for compartmental models of disease transmission
- Appendix 7.A. Answers
- Appendix 7.B. Supplementary material
- References
- Index
- No. of pages: 214
- Language: English
- Edition: 1
- Published: October 18, 2016
- Imprint: Academic Press
- Paperback ISBN: 9780128022603
- eBook ISBN: 9780128024997
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