Modeling Infectious Disease Parameters Based on Serological and Social Contact Data A Modern Statistical Perspective /

• Κύριοι συγγραφείς: Hens, Niel (Συγγραφέας), Shkedy, Ziv (Συγγραφέας), Aerts, Marc (Συγγραφέας), Faes, Christel (Συγγραφέας), Van Damme, Pierre (Συγγραφέας), Beutels, Philippe (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2012.
• Σειρά: Statistics for Biology and Health, 63
• Θέματα: Statistics.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics, general.; Statistical Theory and Methods.

Mathematical epidemiology of infectious diseases usually involves describing the flow of individuals between mutually exclusive infection states. One of the key parameters describing the transition from the susceptible to the infected class is the hazard of infection, often referred to as the force...

Πίνακας περιεχομένων:

• 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.