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Mathematical and Statistical Estimation Approaches in Epidemiology

Mathematical and Statistical Estimation Approaches in Epidemiology
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Dewey Class 519.5
Title Mathematical and Statistical Estimation Approaches in Epidemiology ([Ebook]) / edited by Gerardo Chowell, James M. Hyman, Luís M. A. Bettencourt, Carlos Castillo-Chavez.
Author Chowell, Gerardo
Added Personal Name Hyman, James M.
Bettencourt, Luís M. A.
Castillo-Chavez, Carlos
Other name(s) SpringerLink (Online service)
Publication Dordrecht : Springer Netherlands , 2009.
Physical Details : online resource.
ISBN 9789048123131
Summary Note This book is intended as a primary resource for graduate students and researchers working in the field of infectious disease epidemiology. This collection of contributions presents deterministic and stochastic approaches for epidemic modelling and statistical inference of epidemiological parameters including the real time assessment of the transmission potential of infectious diseases, issues related to the sensitivity of model assumptions, the use of historical archives as valuable sources of epidemiological information, modeling of vaccination programs and relapse, statistical challenges in bio surveillance, approaches for the spatial and temporal analysis of disease time series, quantification of parameter uncertainty and methodologies for sensitivity analysis. Methods and tools are illustrated with simulated and real datasets such as the 1918 influenza pandemic in Winnipeg, Canada, the 1968 influenza pandemic in US cities, Severe Acute Respiratory Syndrome (SARS), the 2005 Marburg fever outbreak in Angola, rubella epidemics in Peru, rotavirus in Mexico and pneumococcal disease in Australia.:
Contents note Chapter 1: The basic reproduction number of infectious diseases: Computation and estimation using compartmental epidemic models Gerardo Chowell and Fred Brauer -- Chapter 2: Stochastic Epidemic Modeling Priscilla E. Greenwood and Luis F. Gordillo -- Chapter 3: Two critical issues in quantitative modeling of communicable diseases: Inference of unobservables and dependent happening Hiroshi Nishiura, Masayuki Kakehashi and Hisashi Inaba -- Chapter 4: A note on the definition of contacts, measures of mixing, and model parametrization Stephen Tennenbaum -- Chapter 5: The effective reproduction number as a prelude to statistical estimation of time-dependent epidemic trends Hiroshi Nishiura and Gerardo Chowell -- Chapter 6: Sensitivity of Model-Based Epidemiological Parameter Estimation to Model Assumptions Alun L. Lloyd -- Chapter 7:An ensemble trajectory method for real-time modeling and prediction of unfolding epidemics: analysis of the 2005 Marburg fever outbreak in Angola Luís M. A. Bettencourt -- Chapter 8: Statistical Challenges in BioSurveillance Tom Burr, Sarah Michalak and Rick Picard. -Chapter 9:Death Records from Historical Archives: A Valuable Source of Epidemiological Information Rodolfo Acuña-Soto. -Chapter 10: Sensitivity Analysis for Uncertainty Quantification in Mathematical Models Leon Arriola and James M. Hyman. -Chapter 11: An Inverse Problem Statistical Methodology Summary Harvey T. Banks, Marie Davidian, John R. Samuels, Jr. and Karyn L.Sutton. -Chapter 12: The epidemiological impact of rotavirus vaccination programs in the United States and Mexico Eunha Shim and Carlos Castillo-Chavez.-Chapter 13: Spatial and temporal dynamics of rubella in Peru, 1997-2006: Geographic patterns, age at infection and estimation of transmissibility Daniel Rios-Doria, Gerardo Chowell, Cesar Munayco-Escate, Alvaro Witthembury and Carlos Castillo-Chavez -- Chapter 14: The Role of Nonlinear Relapse on Contagion Amongst Drinking Communities Ariel Cintrón-Arias, Fabio Sánchez, Xiaohong Wang, Carlos Castillo-Chavez, Dennis M. Gorman and Paul J. Gruenwald.
System details note Online access is restricted to subscription institutions through IP address (only for SISSA internal users)
Internet Site http://dx.doi.org/10.1007/978-90-481-2313-1
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