Graduation Year
Spring 2013
Document Type
Open Access Senior Thesis
Degree Name
Bachelor of Arts
Department
Mathematics
Reader 1
Susan Martonosi
Reader 2
Christopher Towse
Rights Information
© 2013 Taryn M. Ohashi
Abstract
Malaria is a preventable and treatable blood-borne disease whose complications can be fatal. Although many interventions exist in order to reduce the impacts of malaria, the optimal method of distributing these interventions in a geographical area with limited resources must be determined. This thesis refines a model that uses an integer linear program and a compartmental model of epidemiology called an SIR model of ordinary differential equations. The objective of the model is to find an intervention strategy over multiple time steps and multiple geographic regions that minimizes the number of days people spend infected with malaria. In this paper, we refine the resolution of the model and conduct sensitivity analysis on its parameter values.
Recommended Citation
Ohashi, Taryn M., "Eradicating Malaria: Improving a Multiple-Timestep Optimization Model of Malarial Intervention Policy" (2013). Scripps Senior Theses. 273.
https://scholarship.claremont.edu/scripps_theses/273
Included in
Ordinary Differential Equations and Applied Dynamics Commons, Other Applied Mathematics Commons
