Date of Award
5-2020
Document Type
Thesis
Degree Name
Master of Science (MS)
College/School
College of Science and Mathematics
Department/Program
Applied Mathematics and Statistics
Thesis Sponsor/Dissertation Chair/Project Chair
Eric Forgoston
Committee Member
Lora Billings
Committee Member
David Trubatch
Abstract
We provide an overview of the mathematical modeling of deterministic and stochastic infectious disease models. These models enable one to understand the outbreak, spread, and extinction of disease. We then focus on stochastic models with a disease reservoir to understand outbreak vulnerability for zoonotic diseases such as Ebola Virus Disease (EVD). Numerical results from a more complicated EVD model are compared with the theoretical results of a simplified stochastic SISk model. We also demonstrate the effect that vaccine has on outbreak vulnerability in a population that is connected to a disease reservoir.
File Format
Recommended Citation
Odatalla, Sausan, "Stochastic Modeling of Zoonotic Disease" (2020). Theses, Dissertations and Culminating Projects. 474.
https://digitalcommons.montclair.edu/etd/474