Date of Award
Campus Access Thesis
Master of Science (MS)
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.
Kapoor, Esha, "An Assessment of Spatial and Temporal Similarities for Cases and Deaths in Rare Disease Events: A Case Study of Ebola Virus Disease and Coronavirus Disease 2019" (2020). Graduate Masters Theses. 664.