Stochastic models for epidemics on networks
Name
57003130-MIT.pdf
Description
Full printable version
Size
1.72 MB
Format
Adobe PDF
Checksum (MD5)
0f91e6eb081aaba5a5737ba2a53e2b39
Author(s)
Livingston, Samantha, 1980-
Advisor(s)
George Verghese.
Date Issued
2004
Publisher
Massachusetts Institute of Technology
Abstract
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.
Description
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2004.
Includes bibliographical references (p. 37).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
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