The Color of a Pandemic: The Association Between Historical Residential Redlining and COVID-19 Outcomes in California

Casillas, E.; Ye, M.; Vargo, Jason; Nardone, Anthony; Shete, Priya B.; Thakur, Neeta

doi:10.1164/ajrccm-conference.2022.205.1_meetingabstracts.a3693

Cited by 1 publication

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“…Second, the Blueprint's framework did not explicitly include structural racism as a determinant nor did it directly include race or ethnicity because of Proposition 209 (36). However, studies have concluded the need to incorporate structural racism measures as it has been shown to influence the distribution of and access to resources and opportunities for and beyond health (37). Addressing underlying determinants that perpetuate disparities may help link positive policy solutions, while avoiding the potential pitfalls of solely targeting interventions based on race/ethnicity (38).…”

Section: Discussionmentioning

confidence: 99%

The Integration of Health Equity into Policy to Reduce Disparities: Lessons from California during the COVID-19 Pandemic

Kwan,

Vargo,

Kurtz

et al. 2024

Preprint

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Racial and ethnic minoritized groups and socioeconomically disadvantaged communities experience longstanding health-related disparities in the US and were disproportionately affected throughout the COVID-19 pandemic. How departments of public health can explicitly address these disparities and their underlying determinants remains less understood. To inform future public health responses, this paper details how California strategically placed health equity at the core of its COVID-19 reopening and response policy, known as theBlueprint for a Safer Economy. In effect from August 2020 to June 2021, “the Blueprint” employed the use of the California Healthy Places Index (HPI), a summary measure of 25 social determinants of health constructed at the census tract level, to guide activities. Using California’s approach, we categorized the state population by HPI quartiles at the state and within-county levels (HPIQ1 representing the least advantaged, HPIQ4, the most advantaged) from HPI data available to demonstrate how the state monitored COVID-19 test, case, mortality, and vaccine outcomes using equity metrics developed for the Blueprint. Notable patterns emerged. Testing disparities disappeared during the summer and winter surges but resurfaced between surges. Monthly case rate ratios (RR) peaked in May 2020 for HPIQ1 compared to HPIQ4 (RR 6.61, 95%CI: 6.41–6.81), followed by mortality RR peaking in June 2020 (RR 5.06, 95% CI: 4.34–5.91). As the pandemic wore on, case and mortality disparities between lower HPI quartiles relative to HPIQ4 reduced but remained. Utilizing an ABSM, such as HPI, enabled a data-driven approach to identify priority communities, allocate resources, and monitor outcomes based on need during a large-scale public health emergency.

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Section: Discussionmentioning

confidence: 99%