Overview
- Provides contributions by epidemic modeling experts describing a broad range of approaches to address contemporary questions related to the spread and control of infectious diseases
- Demonstrates examples of how models can help understand the spread of infections
- Presents a discussion on the modern statistical modeling methods to design, conduct, and analyze clinical trials measuring the effectiveness of potential vaccines
- Includes supplementary material: sn.pub/extras
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Table of contents (21 chapters)
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Front Matter
Keywords
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 weobjectively 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?
This book will be of interest to researchers in the field of mathematical epidemiology, as well as public health workers.
Reviews
Editors and Affiliations
About the editors
Gerardo Chowell is an associate professor and a Second Century Initiative Scholar (2CI) in the School of Public Health at Georgia State University in Atlanta. His research program includes the development and application of quantitative approaches for understanding the transmission dynamics and control of infectious diseases including influenza, Ebola, and dengue fever. His work has appeared in high-impact journals including The New England Journal of Medicine, PLOS Medicine, and BMC Medicine, and has been cited by major media outlets including the Washington Post and TIME magazine.
James (Mac) Hyman has developed and analyzed mathematical models for the transmission of HIV/AIDs, influenza, malaria, dengue fever, chikungunya, and infections. His current focus is to identify approaches where these models can help public health workers be more effective in mitigating the impact of emerging diseases. He was aresearch scientist at Los Alamos National Laboratory for over thirty years, is a past president of the Society for Industrial and Applied Mathematics (SIAM), and now holds the Phillips Distinguished Chair in Mathematics at Tulane University.Bibliographic Information
Book Title: Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases
Editors: Gerardo Chowell, James M. Hyman
DOI: https://doi.org/10.1007/978-3-319-40413-4
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2016
Hardcover ISBN: 978-3-319-40411-0Published: 09 August 2016
Softcover ISBN: 978-3-319-82094-1Published: 12 June 2018
eBook ISBN: 978-3-319-40413-4Published: 27 July 2016
Edition Number: 1
Number of Pages: IX, 356
Number of Illustrations: 31 b/w illustrations, 63 illustrations in colour
Topics: Probability Theory and Stochastic Processes, Infectious Diseases, Statistics for Life Sciences, Medicine, Health Sciences, Epidemiology