The purpose of this study was to examine the relationship between social vulnerability and COVID-19 mortality rates during the whole outbreak in U.S. counties. COVID-19 deaths were gleaned from the USA Facts. Independent variables were gleaned from the CDC's Social Vulnerability Index. Spatial autoregressive models were used for data analysis. Results show that counties with more social vulnerability (socioeconomic) were positively associated with higher COVID-19 mortality rates. Counties with more social vulnerability (household composition & disability) were positively associated with higher COVID-19 mortality rates. Counties with more social vulnerability (minority status & language) were negatively associated with higher COVID-19 mortality rates. Counties with more social vulnerability (housing type & transportation) were negatively associated with higher COVID-19 mortality rates. In conclusion, county-level social vulnerability provides an useful framework for identifying unequal distribution of deaths from COVID-19 in the United States.
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