With a growing concern of an infectious diseases spreading in a population, epidemiology is becoming more important for the future of public health. In the past epidemiologist used existing data of an outbreak to help them determine how an infectious disease might spread in the future. Now with computational models, they able to analysis data produced by these models to help with prevention and intervention plans. This paper looks at the design, implementation, and analysis of a computational model based on the interactions of the population between individuals. The design of the working contact model looks closely at the SEIR model used as the foundation and the two timelines of a disease. The implementation of the contact model is reviewed while looking closely at data structures. The analysis of the experiments provide evidence this contact model can be used to help epidemiologist study the spread of an infectious disease based on the contact rate of individuals.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc9824 |
| Date | 05 1900 |
| Creators | Thompson, Brett Morinaga |
| Contributors | Mikler, Armin R., Jacob, Tom, Tarau, Paul |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | Text |
| Rights | Public, Copyright, Thompson, Brett Morinaga, Copyright is held by the author, unless otherwise noted. All rights reserved. |
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