A 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.
1. Introduction - p. xi 2. Acknowledgments - p. xvii 3. 1: D. Bernoulli: A pioneer of epidemiologic modeling (1760) - p. xvii 4. 2: P.D. En'ko: An early transmission model (1889) - p. 20 5. 3: W.H. Hamer (1906) and H. Soper (1929): Why diseases come and go - p. 30 6. 4: W.O. Kermack and A.G. McKendrick: A seminal contribution to the mathematical theory of epidemics (1927) - p. 57 7. 5: R. Ross (1910, 1911) and G. Macdonald (1952) on the persistence of malaria - p. 87 8. 6: M. Bartlett (1949), N.T. Bailey (1950, 1953) and P. Whittle (1955): Pioneers of stochastic transmission models - p. 105 9. 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 - p. 156 10. Index - p. 195
A 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.
1. Introduction - p. xi 2. Acknowledgments - p. xvii 3. 1: D. Bernoulli: A pioneer of epidemiologic modeling (1760) - p. xvii 4. 2: P.D. En'ko: An early transmission model (1889) - p. 20 5. 3: W.H. Hamer (1906) and H. Soper (1929): Why diseases come and go - p. 30 6. 4: W.O. Kermack and A.G. McKendrick: A seminal contribution to the mathematical theory of epidemics (1927) - p. 57 7. 5: R. Ross (1910, 1911) and G. Macdonald (1952) on the persistence of malaria - p. 87 8. 6: M. Bartlett (1949), N.T. Bailey (1950, 1953) and P. Whittle (1955): Pioneers of stochastic transmission models - p. 105 9. 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 - p. 156 10. Index - p. 195
