Heterogeneous burden of the COVID-19 pandemic in central Texas

Abstract

The heterogeneous burden of the COVID-19 pandemic within and across US cities has been linked to myriad risk factors including occupation, socioeconomic status, and race [1-3]. Here we use fine-grain, anonymized hospitalization data to estimate the heterogeneous impact of the COVID-19 pandemic on Austin, Texas across age groups and ZIP codes. We provide estimates for (1) the percent of the population infected as of January 11, 2021 and (2) the reporting rate of infections, and relate these estimates to the CDC Social Vulnerability Index (SVI) for each ZIP

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