Publication Date

8-2022

Date of Final Oral Examination (Defense)

6-28-2022

Type of Culminating Activity

Thesis

Degree Title

Master of Science in Mathematics

Department

Mathematics

Supervisory Committee Chair

Jodi Mead, Ph.D.

Supervisory Committee Member

Kyungduk Ko, Ph.D.

Supervisory Committee Member

Brittany Brand, Ph.D.

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 COVID19 cases published by John Hopkins Coronavirus Research Center for Idaho counties. Simple linear regression analysis was performed to identify a 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 exists between the number of COVID-19 cases and the percentage of people who fall into low-risk categories, a weak positive correlation between the number of cases and the percentage of people who fall into medium-risk categories. 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.

DOI

https://doi.org/10.18122/td.2006.boisestate

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