Mathematical and Statistical Estimation Approaches in Epidemiology

✍ Scribed by Gerardo Chowell, Fred Brauer (auth.), Dr. Gerardo Chowell, Dr. James M. Hyman, Dr. Luís M. A. Bettencourt, Carlos Castillo-Chavez (eds.)

• Publisher: Springer Netherlands
• Year: 2009
• Tongue: English
• Leaves: 366
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages I-XIII
The Basic Reproduction Number of Infectious Diseases: Computation and Estimation Using Compartmental Epidemic Models....Pages 1-30
Stochastic Epidemic Modeling....Pages 31-52
Two Critical Issues in Quantitative Modeling of Communicable Diseases: Inference of Unobservables and Dependent Happening....Pages 53-87
The Chain of Infection, Contacts, and Model Parametrization....Pages 89-102
The Effective Reproduction Number as a Prelude to Statistical Estimation of Time-Dependent Epidemic Trends....Pages 103-121
Sensitivity of Model-Based Epidemiological Parameter Estimation to Model Assumptions....Pages 123-141
An Ensemble Trajectory Method for Real-Time Modeling and Prediction of Unfolding Epidemics: Analysis of the 2005 Marburg Fever Outbreak in Angola....Pages 143-161
Statistical Challenges in BioSurveillance....Pages 163-187
Death Records from Historical Archives: A Valuable Source of Epidemiological Information....Pages 189-194
Sensitivity Analysis for Uncertainty Quantification in Mathematical Models....Pages 195-247
An Inverse Problem Statistical Methodology Summary....Pages 249-302
The Epidemiological Impact of Rotavirus Vaccination Programs in the United States and Mexico....Pages 303-323
Spatial and Temporal Dynamics of Rubella in Peru, 1997–2006: Geographic Patterns, Age at Infection and Estimation of Transmissibility....Pages 325-341
The Role of Nonlinear Relapse on Contagion Amongst Drinking Communities....Pages 343-360
Back Matter....Pages 361-363

✦ Subjects

Statistics for Life Sciences, Medicine, Health Sciences; Biomedicine general; Epidemiology; Infectious Diseases