Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/14230
Title: | Fast Estimation of Time-Varying Transmission Rates for Infectious Diseases |
Authors: | deJonge, Michelle S. |
Advisor: | Earn, David |
Department: | Mathematics and Statistics |
Keywords: | SIR model;childhood diseases;transmission rate;infectious disease;Applied Mathematics;Applied Mathematics |
Publication Date: | Oct-2014 |
Abstract: | <p>Modelling and analysis of recurrent infectious disease epidemics often depends on the reconstruction of a time-varying transmission rate from historical reports of cases or deaths. Statistically rigorous estimation methods for time-varying transmission rates exist but are too computationally demanding to apply to a time series longer than a few decades. We present a computationally ecient estimation method that is suitable for very long data sets. Our method, which uses a discrete-time approximation to the SIR model for infectious diseases, is easy to implement and outperforms the classic Fine and Clarkson estimation method.</p> |
URI: | http://hdl.handle.net/11375/14230 |
Identifier: | opendissertations/9052 10126 5629532 |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Size | Format | |
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fulltext.pdf | 5.84 MB | Adobe PDF | View/Open |
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