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Abstract Details
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Activity Number:
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185
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Type:
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Contributed
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Date/Time:
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Monday, August 1, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #303123 |
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Title:
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Hierarchical Models for Parameter Estimation of SEIR Models with Application to Raccoon Rabies Spread
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Author(s):
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Gavino Puggioni*+ and Luca Gerardo Giorda and Leslie Real and Lance Waller
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Companies:
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Emory University and Emory University and Emory University and Emory University
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Address:
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, Atlanta , GA, 30322, United States
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Keywords:
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Stochastic Differential Equations ;
SEIR models ;
Raccoon rabies spread ;
Hierarchical Models ;
Bayesian Estimation ;
Space time models
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Abstract:
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The goal of this paper is to propose methods for parameter estimation in SEIR models. We propose a direct lieklihood evaluation of a reduced version of a system of 4 differential equations system. Estimation is performed with MCMC techniques. The methodology is then applied to the raccoon rabies spread in the state of New York from 1990 to 2007. Data are reported cases collected at different townships across the state and simulated total raccoon populations.
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