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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…mehr

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Produktbeschreibung
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.

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GB, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

  • Produktdetails
  • Verlag: Springer-Verlag GmbH
  • Erscheinungstermin: 06.06.2009
  • Englisch
  • ISBN-13: 9789048123131
  • Artikelnr.: 37410938
Autorenporträt
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.
Inhaltsangabe
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 H. 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: TheRole 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
Rezensionen
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)