Modeling Infectious Disease Parameters Based on Serological and Social Contact Data : A Modern Statistical Perspective
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Overview
Mathematical models for infectious diesease.- The static model.- The dynamic model.- The stochastic model.- Implementation of models in MATLAB.- Data sources for modelling infectious diseases.- Estimation from serological data.- Parametric models for teh prevalence and the force of infection.- Non-parametric approaches to model the prevalence and force of infection.- Semi-parametric approaches to model the prevalence and force of infection.- A Bayesian approach.- Modelling the prevalence and the force of infection direction from antibody levels.- Modelling multivariate serological data.- Estimation from other data sources.- Estimating mixing patterns and Ro in a heterogenous population.- Modelling in a homogeneous population.- Modelling in a heterogeneous population.- Modelling AIDS outbreak data.- Modelling hepatitis C among injection drug users.- Modelling dengue.- Modelling bovine herpes virus in cattle.
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Details
- ISBN-13: 9781461440710
- ISBN-10: 1461440718
- Publisher: Springer
- Publish Date: September 2012
- Dimensions: 9.2 x 6 x 0.9 inches
- Shipping Weight: 1.23 pounds
- Page Count: 300
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