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Thesis Information
Title: Regression Analysis of Resilience and COVID-19 in Idaho Counties
Program: Master of Science in Mathematics
Advisor: Dr. Jodi Mead, Mathematics
Committee Members: Dr. Brittany Brand, Geosciences, and Dr. Kyungduk Ko, Mathematics
Abstract
Global pandemic Coronavirus Disease 2019 (COVID-19) has serious harmful effects on our day-to-day lives. To overcome challenges such as this, critical preparedness, readiness, and response actions are required. This thesis uses estimates of community resilience available through the CRE Tool, published by the US Census Bureau, and COVID-19 cases published by John Hopkins Coronavirus Research Center for Idaho counties. Simple linear regression analysis was performed to identify the correlation between COVID-19 cases and deaths in Idaho counties and measures of their resilience. Understanding this correlation could lead to better estimation and prediction of the effect of disasters in Idaho’s counties.
We determined that there is a weak negative correlation between the number of COVID-19 cases and the percentage of people who fall into a low-risk category. We also determined that there is a moderate positive correlation between the number of deaths and the percentage of people in a high-risk category. Analysis of the residuals requires further study.