Modeling Infectious Disease Parameters Based on Serological and Social Contact Data: A Modern Statis
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- Artikel-Nr.: 10372885
Beschreibung
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.
Eigenschaften
Breite: | 157 |
Gewicht: | 486 g |
Höhe: | 236 |
Länge: | 18 |
Seiten: | 300 |
Sprachen: | Englisch |
Autor: | Christel Faes, Marc Aerts, Niel Hens, Philippe Beutels, Pierre Van Damme, Ziv Shkedy |
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