Date of Award

Spring 5-6-2022

Degree Type

Thesis

Degree Name

Master of Science in Natural Science

Department

College of Science and Mathematics

First Advisor

James Adams

Second Advisor

Simon Rayner

Third Advisor

Matthew Beauregard

Fourth Advisor

Kent Riggs

Abstract

Rabies remains a global public health issue with a wide variety of neurological symptoms such as confusion, slight paralysis, hypersalivation, and hydrophobia. Rabies is usually fatal once symptoms appear. Many species are reservoirs for rabies, such as foxes, racoons, and wild dogs, which in turn can transmit the disease to humans, leading to complex transmission chains. There is a long latent period of rabies, between 1 to 3 months after infection, which further complicates control efforts. Mathematical modeling is a valuable tool in the study of infectious disease outbreaks and there have been many models applied to rabies outbreaks. However, these focus on localized outbreaks that usually involve a single lineage and there have been fewer studies that attempt to model a rabies outbreak at the national level. In this work, we will investigate the surveillance data collected by the Chinese Center for Disease Control for the current Rabies epizootic in China that involves a displacement of one rabies lineage with another. This paper will investigate the suitability of different models for capturing the observed case data at the provincial level.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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