Racial/Ethnic Disparities In COVID-19 Exposure Risk, Testing, and Cases at the Subcounty Level in California

Autor: Reitsma, Marissa B, Claypool, Anneke L, Vargo, Jason, Shete, Priya B, McCorvie, Ryan, Wheeler, William H, Rocha, David A, Myers, Jennifer F, Murray, Erin L, Bregman, Brooke, Dominguez, Deniz M, Nguyen, Alyssa D, Porse, Charsey, Fritz, Curtis L, Jain, Seema, Watt, James P, Salomon, Joshua A, Goldhaber-Fiebert, Jeremy D
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Health Aff (Millwood)
Popis: With 40 million people and substantial county and regional variation in socio-demographics and health services, California is an important setting to study disparities. Its population -- 39.1% Latino, 5.3% Black, and 14.4% Asian -- experienced 54,124 COVID-19 deaths through March 7, 2021, the highest nationally. We analyzed California’s racial/ethnic disparities in COVID-19 exposure risks, testing rates, test positivity, and case rates, through October 2020. We combined data from 15.4 million SARS-CoV-2 tests with sub-county exposure risk estimates from the American Community Survey. Based on accumulated evidence, we defined “high exposure risk” households as those with ≥1 essential workers and fewer rooms than inhabitants. Latino individuals are 8.1 times more likely to live in high exposure risk households than White individuals (23.6% vs. 2.9%); overrepresented in cumulative cases (3,784 vs. 1,112 per 100,000); and underrepresented in cumulative testing (35,635 vs. 48,930 per 100,000). These risks and outcomes were worse for Latinos than for other racial/ethnic groups. Sub-county disparity analyses can inform local targeting of interventions and resources, including community-based testing and vaccine access and uptake measures. Tracking COVID-19 disparities and developing equity-focused public health programming that mitigates effects of systemic racism can help improve health outcomes among California’s populations of color.
Databáze: OpenAIRE