Modeling the Interplay Between Human Behavior and the Spread of Infectious Diseases

  • Piero Manfredi
  • Alberto D'Onofrio

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Chris Bauch, Alberto d’Onofrio, Piero Manfredi
    Pages 1-19
  3. Field Data on Behaviour

    1. Front Matter
      Pages 21-21
    2. Caterina Rizzo, Massimo Fabiani, Richard Amlôt, Ian Hall, Thomas Finnie, G. James Rubin et al.
      Pages 23-41
    3. H. Theeten, E. Lefevere, C. Vandermeulen, P. Van Damme, N. Hens
      Pages 43-55
  4. Modeling Behaviour Change in Response to Epidemic Threats

    1. Front Matter
      Pages 57-57
    2. Sara Y. Del Valle, Susan M. Mniszewski, James M. Hyman
      Pages 59-77
    3. Piero Poletti, Bruno Caprile, Marco Ajelli, Stefano Merler
      Pages 79-91
    4. Pietro Liò, Bianchi Lucia, Viet-Anh Nguyen, Stephan Kitchovitch
      Pages 139-152
  5. Modeling Vaccinating Behaviour

    1. Front Matter
      Pages 169-169
    2. Raffaele Vardavas, Christopher Steven Marcum
      Pages 203-227
    3. Eunha Shim, John J. Grefenstette, Steven M. Albert, Brigid E. Cakouros, Larissa Bohn, Donald S. Burke
      Pages 255-266
    4. Alberto d’Onofrio, Piero Manfredi, Ernesto Salinelli
      Pages 267-287
    5. Bruno Buonomo, Alberto d’Onofrio, Deborah Lacitignola
      Pages 289-308
  6. Concluding Overview

    1. Front Matter
      Pages 309-309
    2. W. John Edmunds, Ken Eames, Marcus Keogh-Brown
      Pages 311-321
  7. Back Matter
    Pages 323-329

About this book


This volume summarizes the state-of-the-art in the fast growing research area of modeling the influence of information-driven human behavior on the spread and control of infectious diseases. In particular, it features the two main and inter-related “core” topics: behavioral changes in response to global threats, for example, pandemic influenza, and the pseudo-rational opposition to vaccines. The motivation comes from the fact that people are likely to change their behavior and their propensity to vaccinate themselves and their children based on information and rumors about the spread of a disease. As a consequence there is a feedback effect that may deeply affect the dynamics of epidemics and endemics. In order to make realistic predictions, modelers need to go beyond classical mathematical epidemiology to take these dynamic effects into account.

With contributions from experts in this field, the book fills a void in the literature. It goes beyond classical texts, yet preserves the rationale of many of them by sticking to the underlying biology without compromising on scientific rigor. Epidemiologists, theoretical biologists, biophysicists, applied mathematicians, and PhD students will benefit from this book. However, it is also written for Public Health professionals interested in understanding models, and for advanced undergraduate students, since it only requires a working knowledge of mathematical epidemiology.


Math and Infectious Human Diseases Mathematical Biology and Immunology Mathematical Epidemiology Mathematical Models of Infectious Diseases Modeling in Public Health Sociophysics and population mathematics

Editors and affiliations

  • Piero Manfredi
    • 1
  • Alberto D'Onofrio
    • 2
  1. 1., Department of Economics and ManagementUniversity of PisaPisaItaly
  2. 2., Department of Experimental OncologyEuropean Institute of OncologyMilanItaly

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