Date of Award

12-2020

Document Type

Campus Access Thesis

Degree Name

Master of Science (MS)

Department

Information Technology

First Advisor

Josephine Namayanja

Second Advisor

Roger Blake

Third Advisor

Shan Jiang

Abstract

This study examines the spatiotemporal characterization of rare disease events such as the Ebola Virus Disease (EVD) outbreak in West Africa and COVID-19 in the United States. To study this, we utilize cluster analysis, an unsupervised learning technique that groups data objects based on similarity. Specifically, this thesis aims to identify patterns in the confirmed cases and deaths associated with EVD and COVID-19 across spatial regions and time periods, respectively. This thesis also studies the role of socio-economic factors in the EVD and COVID-19 outbreak. For this, socio-economics factors related to population, education, and health care for the different spatial regions are taken into consideration. Overall, outcomes from this thesis poses implications in developing strategies and policies for quality controls necessary to manage the spread of rare disease events.

Comments

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