Titlebook: Mathematical and Statistical Estimation Approaches in Epidemiology; Gerardo Chowell,James M. Hyman,Carlos Castillo-Cha Book 2009 Springer

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粗語

老巫婆

Two Critical Issues in Quantitative Modeling of Communicable Diseases: Inference of Unobservables abered to identify a . of an infectious disease or to assess vaccine efficacy. Observation of a single infected individual is not independent of observing other individuals. A simple solution for dependent happening is to employ the transmission probability which is conditioned on an exposure to infection.

蒸發(fā)

grieve

Book 2009ctious 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 t

CREEK

The Basic Reproduction Number of Infectious Diseases: Computation and Estimation Using Compartmentawed by simple methodology for the estimation of R. with its corresponding uncertainty from epidemic time series data. The 1918–1919 influenza pandemic in Winnipeg, Canada, and the 1968 influenza pandemic in US cities are used for illustration.

沙草紙

The Chain of Infection, Contacts, and Model Parametrization,arious modeling approaches. Some suggestions as to ways to better tie together the biological and mechanistic aspects of the infection process and the more phenomenological descriptions of model parameters are discussed.

dainty

milligram

Sensitivity Analysis for Uncertainty Quantification in Mathematical Models, survey of sensitivity analysis and illustrates how to define the derivative of the model solution as a function of the model input and determine the relative importance of the model parameters on the model predictions.