1. Infectious Diseases of Humans. Dynamics and Control by Roy M. Anderson and Robert M. May. Oxford University Press (1991) Oxford. A unique and comprehensive reference giving an in-depth exposition of transmission dynamics modeling considering both deterministic and stochastic models but largely focusing on the former. The book provides much mathematical detail for those who would like it, but for those who do not wish to immerse themselves in the mathematics, a great deal can be gained from simply reading the text and skimming over the mathematical details.

2. Parasitic and Infectious Diseases: Epidemiology and Ecology by Marilyn E. Scott and Gary Smith. Academic Press; 1st ed. (1994). An easily accessible introduction to modeling infectious disease transmission, which introduces the mathematics in a clear and easily understandable fashion.

3. Modern Infectious Disease Epidemiology by Johan Giesecke. Arnold Publication; 2nd ed. (2001). An excellent and easily accessible initial introduction to current ideas in infectious disease epidemiology including dynamic modeling.

4. Epidemiologic Methods for the Study of Infectious Diseases by J.C. Thomas and D.J. Weber (eds). Oxford University Press (2001): New York. Not a modeling book but an excellent introduction to many of the concepts used in infectious disease modeling as well as to infectious disease epidemiology in general.

5. Mathematical Epidemiology of Infectious Diseases: Model Building, Analysis and Interpretation (Wiley Series in Mathematical and Computational Biology) by O. Diekmann and J.A.P. Heesterbeek. John Wiley Sons; New Ed edition (2000). A thorough, more mathematical treatment aimed at theoretical biologists, epidemiologists and applied mathematicians, which covers both deterministic and stochastic approaches to epidemiological modeling and includes exercises for the reader throughout.

6. The Mathematical Theory of Infectious Diseases by Norman T.J. B. Griffin; 2nd ed London. A very comprehensive coverage of stochastic infectious disease modeling, currently out of print but it is very much worth trying to locate a copy in specialist bookstores or libraries.

7. Models for Infectious Human Diseases: Their Structure and Relation to Data by Valerie Isham and Graham Medley (Editors) and H.K. Moffatt

(Series Editor). Cambridge University Press (1996). Epidemic Models: Their Structure and Relation to Data by Denis Mollison (Editor) and H.K. Moffatt (Series Editor). Cambridge University Press (1995). Two books arising from a workshop held at the Newton Institute, University of Cambridge, whose relatively short chapters cover a wide and interesting but, above all, relevant series of topics related to all aspects of infectious disease modeling by leaders in the field.

8. Population Ecology: A Unified Study of Animals and Plants by Michael Begon, Martin Mortimer and David J. Thompson. Blackwell Science, Oxford. 3rd ed. (1996). A useful introduction to the fundamental principles of population ecology covering animals and plants, including an introduction to parasitism.

9. A Dictionary of Epidemiology by the International Epidemiological Association (Corporate Author), John M. Last, Robert A. Spasoff, Susan S. Harris, and Michel C. Thuriaux (editors). Oxford University Press; 4th ed. (2000) New York. An excellent and wide-ranging epidemiological reference tool.

10. Numerical Recipes in C++: The Art of Scientific Computing by William H. Press et al. (eds.). Cambridge University Press (2002). Numerical Recipes in C: The Art of Scientific Computing by William H. Press et al. Cambridge University Press; 2nd ed. (1992). Numerical Recipes in Fortran: The Art of Scientific Computing by William H. Press et al. Cambridge University Press. 2nd ed. (1992). A very useful series of source books of methods for tackling numerical tasks arising when creating ad hoc computer programs to solve ODE or PDE models; included in each section are algorithms set out in computer code which implement these methods.

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