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

Editors: Chowell, Gerardo, Hyman, James M. (Eds.)

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  • 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
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eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-319-40413-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-40411-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-82094-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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.

About the authors

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 MedicinePLOS 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 a research 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.

Reviews

“This book focuses on mathematical and statistical modeling to capture the important aspects of emerging epidemics that can help public health workers and researchers to better understand the spread of infections and reduce the uncertainty of the estimates of disease prevalence, as well as to help evaluate the potential effectiveness of different approaches for bringing an epidemic under control. … recommended to researchers in the field of mathematical epidemiology and public health workers who are involved in epidemic disease control.” (Hemang B. Panchal, Doody's Book Reviews, November, 2016)


Table of contents (21 chapters)

Table of contents (21 chapters)

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-3-319-40413-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-40411-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
Softcover 124,79 €
price for Spain (gross)
  • ISBN 978-3-319-82094-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Mathematical and Statistical Modeling for Emerging and Re-emerging Infectious Diseases
Editors
  • Gerardo Chowell
  • James M. Hyman
Copyright
2016
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-40413-4
DOI
10.1007/978-3-319-40413-4
Hardcover ISBN
978-3-319-40411-0
Softcover ISBN
978-3-319-82094-1
Edition Number
1
Number of Pages
IX, 356
Number of Illustrations
31 b/w illustrations, 63 illustrations in colour
Topics