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How Do Socioeconomic Factors Correlate to COVID-19 Cases and Deaths?

Authors:
Anthony Guzman
Yoo Jin

Keywords: COVID-19, socioeconomic factors, correlation analysis.

Abstract:
The COVID-19 pandemic has spread around the world and had significantly affected every aspect of our day-to-day lives. Non-clinical socioeconomic factors may be important explanatory variables of COVID-19 cases and deaths. This work explores the correlations between various socioeconomic factors and the number of cases and deaths resulting from COVID-19. The study was conducted with county-level data from the U.S. Census Bureau and John Hopkins University, and examined the impact of ten different socioeconomic factors regarding population size, poverty, median household income, employment and education levels on COVID-19 prevalence across all counties in the United States. Correlation coefficients were computed between each of the socioeconomic factors and the total number of cumulative COVID-19 cases and deaths using various correlation analysis methods such as the Pearson, Kendall, and Spearman formulas. The results of the analyses echo the findings of similar research regarding COVID-19 and are visualized and discussed.

Pages: 33 to 39

Copyright: Copyright (c) IARIA, 2021

Publication date: October 3, 2021

Published in: conference

ISSN: 2308-4464

ISBN: 978-1-61208-891-4

Location: Barcelona, Spain

Dates: from October 3, 2021 to October 7, 2021