Racial and ethnic inequities in the early distribution of U.S. COVID-19 testing sites and mortality.

BACKGROUND: In 2020, early U.S. COVID-19 testing sites offered diagnostic capacity to patients and were important sources of epidemiological data about the spread of the novel pandemic disease. However, little research has comprehensively described American testing sites' distribution by race/ethnicity and sought to identify any relation to known disparities in COVID-19 outcomes. METHODS: Locations of U.S. COVID-19 testing sites were gathered from 16 April to 28 May 2020. Geographic testing disparities were evaluated with comparisons of the demographic makeup of zip codes around each testing site versus Monte Carlo simulations, aggregated to statewide and nationwide levels. State testing disparities were compared with statewide disparities in mortality observed one to 3 weeks later using multivariable regression, controlling for confounding disparities and characteristics. RESULTS: Nationwide, COVID-19 testing sites geographically overrepresented White residents on 7 May, underrepresented Hispanic residents on 16 April, 7 May and 28 May and overrepresented Black residents on 28 May compared with random distribution within counties, with new sites added over time exhibiting inconsistent disparities for Black and Hispanic populations. For every 1 percentage point increase in underrepresentation of Hispanic populations in zip codes with testing, mortality among the state's Hispanic population was 1.04 percentage points more over-representative (SE = 0.415, p = .01). CONCLUSIONS: American testing sites were not distributed equitably by race during this analysis, often underrepresenting minority populations who bear a disproportionate burden of COVID-19 cases and deaths. With an easy-to-implement measure of geographic disparity, these results provide empirical support for the consideration of access when distributing preventive resources.

Racial disparities in knowledge, attitudes and practices related to COVID-19 in the USA.

BACKGROUND: Recent reports indicate racial disparities in the rates of infection and mortality from the 2019 novel coronavirus (coronavirus disease 2019 [COVID-19]). The aim of this study was to determine whether disparities exist in the levels of knowledge, attitudes and practices (KAPs) related to COVID-19. METHODS: We analyzed data from 1216 adults in the March 2020 Kaiser Family Foundation 'Coronavirus Poll', to determine levels of KAPs across different groups. Univariate and multivariate regression analysis was used to identify predictors of KAPs. RESULTS: In contrast to White respondents, Non-White respondents were more likely to have low knowledge (58% versus 30%; P < 0.001) and low attitude scores (52% versus 27%; P < 0.001), but high practice scores (81% versus 59%; P < 0.001). By multivariate regression, White race (odds ratio [OR] 3.06; 95% confidence interval [CI]: 1.70-5.50), higher level of education (OR 1.80; 95% CI: 1.46-2.23) and higher income (OR 2.06; 95% CI: 1.58-2.70) were associated with high knowledge of COVID-19. Race, sex, education, income, health insurance status and political views were all associated with KAPs. CONCLUSIONS: Racial and socioeconomic disparity exists in the levels of KAPs related to COVID-19. More work is needed to identify educational tools that tailor to specific racial and socioeconomic groups.