Stephen F. Austin State University
An Application of Differential Mathematical Modeling Techniques to Study the Ongoing Rabies Epizootic in China
Abstract
dc:description.abstract<p>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.</p>
Degree
thesis:*- Name thesis:degree_name
- Master of Science in Natural Science
- Level thesis:degree_level
- Thesis
- Discipline thesis:degree_discipline
- College of Science and Mathematics
- Year dc:date.available
- 2022
Author and committee
dc:creator, dc:contributor.*- Author dc:creator
-
- Turner, Christopher
- Contributors dc:contributor
-
- James Adams
- Simon Rayner
- Matthew Beauregard
Subjects
dc:subject × 7Identifiers
dc:identifier.*- Repository record dc:identifier
- https://scholarworks.sfasu.edu/etds/454
- OAI identifier oai:identifier
- oai:scholarworks.sfasu.edu:etds-1482