Stochastic models for epidemics on networks
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
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| Format: | Thesis |
| Language: | en_US |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/28437 |
| _version_ | 1826208211201425408 |
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| author | Livingston, Samantha, 1980- |
| author2 | George Verghese. |
| author_facet | George Verghese. Livingston, Samantha, 1980- |
| author_sort | Livingston, Samantha, 1980- |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. |
| first_indexed | 2024-09-23T14:02:17Z |
| format | Thesis |
| id | mit-1721.1/28437 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T14:02:17Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/284372019-04-11T09:22:36Z Stochastic models for epidemics on networks Livingston, Samantha, 1980- George Verghese. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004. Includes bibliographical references (p. 37). In this thesis, I looked at an extension of the Reed-Frost epidemic model which had two-sub-populations. By setting up a Markov chain to model the epidemic and finding the transition probabilities of that chain, MATLAB could be used to solve for the expected number of susceptibles and the expected duration. I simulated the model with more tan two sub-populations to find the average number of susceptibles and reviewed previously solved stochastic spatial models to understand how to solve the multiple-population Reed-Frost model on a network. by Samantha Livingston. M.Eng. 2005-09-26T20:26:50Z 2005-09-26T20:26:50Z 2004 2004 Thesis http://hdl.handle.net/1721.1/28437 57003130 en_US M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 37 p. 1298003 bytes 1299861 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Livingston, Samantha, 1980- Stochastic models for epidemics on networks |
| title | Stochastic models for epidemics on networks |
| title_full | Stochastic models for epidemics on networks |
| title_fullStr | Stochastic models for epidemics on networks |
| title_full_unstemmed | Stochastic models for epidemics on networks |
| title_short | Stochastic models for epidemics on networks |
| title_sort | stochastic models for epidemics on networks |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/28437 |
| work_keys_str_mv | AT livingstonsamantha1980 stochasticmodelsforepidemicsonnetworks |