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http://hdl.handle.net/11375/14230
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DC Field | Value | Language |
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dc.contributor.advisor | Earn, David | en_US |
dc.contributor.author | deJonge, Michelle S. | en_US |
dc.date.accessioned | 2014-06-18T17:06:45Z | - |
dc.date.available | 2014-06-18T17:06:45Z | - |
dc.date.created | 2014-05-28 | en_US |
dc.date.issued | 2014-10 | en_US |
dc.identifier.other | opendissertations/9052 | en_US |
dc.identifier.other | 10126 | en_US |
dc.identifier.other | 5629532 | en_US |
dc.identifier.uri | http://hdl.handle.net/11375/14230 | - |
dc.description.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> | en_US |
dc.subject | SIR model | en_US |
dc.subject | childhood diseases | en_US |
dc.subject | transmission rate | en_US |
dc.subject | infectious disease | en_US |
dc.subject | Applied Mathematics | en_US |
dc.subject | Applied Mathematics | en_US |
dc.title | Fast Estimation of Time-Varying Transmission Rates for Infectious Diseases | en_US |
dc.type | thesis | en_US |
dc.contributor.department | Mathematics and Statistics | en_US |
dc.description.degree | Master of Science (MSc) | en_US |
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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