Publication Year
2010
Abstract
The Simple Epidemic Model uses three states to describe the spread of an infection: the susceptible (S), the infected (I), and the recovered (R). This model follows the trend of an infection over time and can predict whether an infection will spread. Using this model, epidemiologists may calculate the percentage of the population that needs to be vaccinated in order to provide a population immunity from a disease. This study will compare the vaccination percentage required for herd immunity to measles, mumps, and rubella against the current percentage of vaccinated individuals.
Recommended Citation
Nicho, Joanna
(2010)
"The SIR Epidemiology Model in Predicting Herd Immunity,"
American Journal of Pure and Applied Mathematics:
Vol. 2:
Iss.
2, Article 8.
DOI: http://dx.doi.org/10.5038/2326-3652.2.2.8
Available at:
https://digitalcommons.usf.edu/ujmm/vol2/iss2/8
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-Share Alike 4.0 License.

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Included in
Advisors:
Arcadii Grinshpan, Mathematics and Statistics
Gordon Fox, Integrative Biology
Problem Suggested By:
Gordon Fox