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Mathematical and Statistical Estimation Approaches in Epidemiology

Editors: Chowell, G., Hayman, J.M., Bettencourt, L.M.A., Bies, D. (Eds.)

  • Gives approaches for the estimation of the transmission potential of infectious diseases and other epidemiological parameters
  • Presents methods and applications for sensitivity and uncertainty quantification in epidemic modeling
  • Illustrates theory and methods using real applications
  • Serves as an essential resource for graduate students interested in the analysis of infectious disease outbreaks and epidemic modeling
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eBook $149.00
price for USA (gross)
  • ISBN 978-90-481-2313-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $189.00
price for USA
  • ISBN 978-90-481-2312-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
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  • ISBN 978-94-007-7990-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Mathematical and Statistical Estimation Approaches in Epidemiology compiles t- oretical and practical contributions of experts in the analysis of infectious disease epidemics in a single volume. Recent collections have focused in the analyses and simulation of deterministic and stochastic models whose aim is to identify and rank epidemiological and social mechanisms responsible for disease transmission. The contributions in this volume focus on the connections between models and disease data with emphasis on the application of mathematical and statistical approaches that quantify model and data uncertainty. The book is aimed at public health experts, applied mathematicians and sci- tists in the life and social sciences, particularly graduate or advanced undergraduate students, who are interested not only in building and connecting models to data but also in applying and developing methods that quantify uncertainty in the context of infectious diseases. Chowell and Brauer open this volume with an overview of the classical disease transmission models of Kermack-McKendrick including extensions that account for increased levels of epidemiological heterogeneity. Their theoretical tour is followed by the introduction of a simple methodology for the estimation of, the basic reproduction number,R . The use of this methodology 0 is illustrated, using regional data for 1918–1919 and 1968 in uenza pandemics.

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 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 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

From the reviews:

“Mathematical and Statistical Estimation Approaches in Epidemiology is a well written book … . The book is aimed at public health experts, applied mathematicians and scientists in the life and social sciences particularly graduate or advanced undergraduate students. This is an excellent text for those with some knowledge of statistics mathematics … . it suits the expectations for that category of readers that is written for and will be a useful reference on many bookshelves.” (Peter Wludyka and Carmen Masnita Iusan, Technometrics, Vol. 53 (1), February, 2011)

Table of contents (14 chapters)

  • The Basic Reproduction Number of Infectious Diseases: Computation and Estimation Using Compartmental Epidemic Models

    Chowell, Gerardo (et al.)

    Pages 1-30

  • Stochastic Epidemic Modeling

    Greenwood, Priscilla E. (et al.)

    Pages 31-52

  • Two Critical Issues in Quantitative Modeling of Communicable Diseases: Inference of Unobservables and Dependent Happening

    Nishiura, Hiroshi (et al.)

    Pages 53-87

  • The Chain of Infection, Contacts, and Model Parametrization

    Tennenbaum, Stephen

    Pages 89-102

  • The Effective Reproduction Number as a Prelude to Statistical Estimation of Time-Dependent Epidemic Trends

    Nishiura, Hiroshi (et al.)

    Pages 103-121

Buy this book

eBook $149.00
price for USA (gross)
  • ISBN 978-90-481-2313-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $189.00
price for USA
  • ISBN 978-90-481-2312-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $189.00
price for USA
  • ISBN 978-94-007-7990-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Mathematical and Statistical Estimation Approaches in Epidemiology
Editors
  • Gerardo Chowell
  • James M. Hayman
  • Luís M. A. Bettencourt
  • Dawn Bies
Copyright
2009
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media B.V.
eBook ISBN
978-90-481-2313-1
DOI
10.1007/978-90-481-2313-1
Hardcover ISBN
978-90-481-2312-4
Softcover ISBN
978-94-007-7990-7
Edition Number
1
Number of Pages
XIII, 363
Topics