Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases

  • Gerardo Chowell
  • James M. Hyman

Table of contents

  1. Front Matter
    Pages i-ix
  2. Richard Rothenberg
    Pages 1-4
  3. Jessica R. Conrad, Ling Xue, Jeremy Dewar, James M. Hyman
    Pages 5-23
  4. John M. Drake, Andrew W. Park
    Pages 25-37
  5. Ana Pastore-Piontti, Qian Zhang, Marcelo F. C. Gomes, Luca Rossi, Chiara Poletto, Vittoria Colizza et al.
    Pages 39-56
  6. Diego Chowell, Muntaser Safan, Carlos Castillo-Chavez
    Pages 57-70
  7. Alexandra Smirnova, Linda DeCamp, Hui Liu
    Pages 103-121
  8. Baltazar Espinoza, Victor Moreno, Derdei Bichara, Carlos Castillo-Chavez
    Pages 123-145
  9. Bruce Pell, Javier Baez, Tin Phan, Daozhou Gao, Gerardo Chowell, Yang Kuang
    Pages 147-167
  10. K. E. Yong, E. Díaz Herrera, C. Castillo-Chavez
    Pages 169-185
  11. Fred Brauer
    Pages 207-220
  12. K. Renee Fister, Holly Gaff, Suzanne Lenhart, Eric Numfor, Elsa Schaefer, Jin Wang
    Pages 221-248
  13. Asma Azizi, Ling Xue, James M. Hyman
    Pages 249-268
  14. José Cassio de Moraes, Maria Claudia Corrêa Camargo, Maria Lúcia Rocha de Mello, Bradley S. Hersh, John W. Glasser
    Pages 269-289
  15. Lisa Sattenspiel, Erin Miller, Jessica Dimka, Carolyn Orbann, Amy Warren
    Pages 313-327
  16. Back Matter
    Pages 355-356

About this book


The contributions by epidemic modeling experts describe how mathematical models and statistical forecasting are created to capture the most important aspects of an emerging epidemic.Readers will discover a broad range of approaches to address questions, such as

  • Can we control Ebola via ring vaccination strategies?
  • How quickly should we detect Ebola cases to ensure epidemic control?
  •  What is the likelihood that an Ebola epidemic in West Africa leads to secondary outbreaks in other parts of the world?  
  • When does it matter to incorporate the role of disease-induced mortality on epidemic models?
  •  What is the role of behavior changes on Ebola dynamics? 
  • How can we better understand the control of cholera or Ebola using optimal control theory?
  • How should a population be structured in order to mimic the transmission dynamics of diseases such as chlamydia, Ebola, or cholera?
  • How can we objectively determine the end of an epidemic?
  • How can we use metapopulation models to understand the role of movement restrictions and migration patterns on the spread of infectious diseases?
  • How can we capture the impact of household transmission using compartmental epidemic models?
  • How could behavior-dependent vaccination affect the dynamical outcomes of epidemic models? 

The derivation and analysis of the mathematical models addressing these questions provides a wide-ranging overview of the new approaches being created to better forecast and mitigate emerging epidemics. 

This book will be of interest to researchers in the field of mathematical epidemiology, as well as public health workers.


Emerging infectious diseases Epidemic Epidemic forecasting Infectious disease dynamics Mathematical modeling Statistical inference

Editors and affiliations

  • Gerardo Chowell
    • 1
  • James M. Hyman
    • 2
  1. 1.School of Public HealthGeorgia State UniversityAtlantaUSA
  2. 2.Department of MathematicsTulane UniversityNew OrleansUSA

Bibliographic information