Epidemic models : their structure and relation to data (Book, 1995) [WorldCat.org]
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Epidemic models : their structure and relation to data

Author: Denis Mollison
Publisher: New York : Cambridge University Press, ©1995.
Series: Publications of the Newton Institute.
Edition/Format:   Print book : EnglishView all editions and formats

Epidemiology is one of the most vibrant branches of applied ecology. Leading researchers with a wide range of mathematical expertise and close involvement in applied fields across the social, medical  Read more...


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Document Type: Book
All Authors / Contributors: Denis Mollison
ISBN: 0521475368 9780521475365
OCLC Number: 501482328
Description: xvii, 424 pages : illustrations, maps ; 24 cm.
Contents: Preface; Introduction; Part I. Conceptual Framework: 1. Some problems in the theory of infectious disease transmission and control Klaus Dietz; 2. The structure of epidemic models Denis Mollison; 3. Coupling methods in epidemic theory Frank Ball; 4. Collective epidemic processes: a general modelling approach to the final outcome of SIR epidemics Claude Lefevre and Philippe Picard; 5. The threshold concept in deterministic and stochastic models Ingemar Nasell; 6. How does transmission of infection depend on population size? Mart de Jong, Odo Diekmann and Hans Heesterbeek; 7. The legacy of Kermack and McKendrick Odo Diekmann, Hans Metz and Hans Heesterbeek; Part II. Spatial Models: 8. Incorporating spatial components into models of epidemic spread Andrew Cliff; 9. Velocities of epidemic spread Hans Metz and Frank van den Bosch; 10. Spatial epidemic models Richard Durrett; 11. A perturbation approach to nonlinear deterministic epidemic waves Henry Daniels; 12. Epidemic plant diseases: a stochastic model of leaf and stem lesion Lynne Billard, P. W. A. Dayananda and Zhen Zhao; Part III. Nonlinear Time and Space-Time Dynamics: 13. Detecting nonlinearity and chaos in epidemic data Stephen Ellner, Ronald Gallant and James Theiler; 14. Seasonality, demography and the dynamics of measles in developed countries Bryan Grenfell, Ben Bolker and Adam Kleczkowski; Part IV. Heterogeneity in Human Diseases: 15. Grouping in population models Simon Levin; 16. Core groups and R0s for subgroups in heterogeneous SIS and SI models John Jacquez, Carl Simon and James Koopman; 17. Data driven network models for the spread of disease Martina Morris; 18. The effect of antigenic diversity on endemic prevalence Sunetra Gupta, Katherine Trenholme, Martin Cox, Roy Anderson and Karen Day; Part V. Data Analysis: Estimation and Prediction: 19. Statistical challenges of epidemic data Niels Becker; 20. Primary components of epidemic models Andrew Cairns; 21. Estimation and prediction in tropical disease control: the example of onchocerciasis Hans Remme, Soumbey Alley and Anton Plaisier; 22. Some current trends in estimating vaccine efficacy Ira Longini, Elizabeth Halloran and Michael Haber; 23. Operational modelling of HIV/AIDS to assist public health control Norman Bailey; Appendix. Problem areas S. Ellner, O. Diekmann and N. Becker.
Series Title: Publications of the Newton Institute.
Responsibility: edited by Denis Mollison.


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"The book is a nice reference work for students and researchers interested in epidemic models." JASA

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