Objectives: To determine the association between the Center for Disease Control and Prevention's (CDC) Social Vulnerability Index (SVI) with the risk of COVID-19-related mortality.
Methods: We merged by county CDC's SVI and the New York Times data on coronavirus cases. We estimated the association between the SVI and risk of death from COVID-19 per 100,000 people in counties with confirmed cases (n=2,755 U.S. counties) using multivariable Poisson regression.
Results: The adjusted risk of COVID-19-related death followed a non-linear pattern, with the lowest risk among SVIs from 0.05 to 0.55 (roughly 3.1 to 3.5/100,000 people) and highest risk corresponding to SVI=0.95 (6.5/100,000). Compared with a SVI=0.35, SVIs of 0.85 and 0.95 were associated with 2.3 (2.1, 2.5) and 3.4 (3.1, 3.7) excess deaths per 100,000, respectively.
Conclusions: High social vulnerability is associated with increased risk of COVID-19-related mortality among U.S. counties with confirmed cases.