Degree Name
MS (Master of Science)
Program
Mathematical Sciences
Date of Award
8-2023
Committee Chair or Co-Chairs
Michele Lynn Joyner
Committee Members
Jeff Randall Knisley, Ariel Cintron-Arias
Abstract
Monkeypox virus (MPXV) is the causative agent of monkeypox (mpox), a rare viral disease that affects humans [1]. It is primarily found in Africa and is transmitted to humans through contact with sick animals, particularly rodents and monkeys, or through human-to-human transmission [2]. From the beginning of May 2022, cases of mpox have been recorded from non-endemic nations, and the illness has continued to be reported in other endemic nations. Majority of confirmed cases have been recorded in Europe and North America. In this thesis, we compare the spread of the outbreak across the top ten countries using a combination of two different techniques. First, we look at the similarity of the outbreak from a mathematical modeling point of view using a simple SIR model to describe the dynamics of the spread and compare parameters of the model among most prevalent countries. Using the model as the general trend of the outbreak, we then look at the spread from a clustering perspective, grouping countries based on a time-series clustering technique.
Document Type
Thesis - embargo
Recommended Citation
Tamakloe, Mark-Daniels, "Comparison of the 2022 Monkeypox (Mpox) Outbreak Using Mathematical Modeling and Time Series Clustering" (2023). Electronic Theses and Dissertations. Paper 4251. https://dc.etsu.edu/etd/4251
Copyright
Copyright by the authors.