Racial, Ethnic, and Geographic Disparities in Novel Coronavirus (Severe Acute Respiratory Syndrome Coronavirus 2) Test Positivity in North Carolina.

BACKGROUND: Emerging evidence suggests that black and Hispanic communities in the United States are disproportionately affected by coronavirus disease 2019 (COVID-19). A complex interplay of socioeconomic and healthcare disparities likely contribute to disproportionate COVID-19 risk. METHODS: We conducted a geospatial analysis to determine whether individual- and neighborhood-level attributes predict local odds of testing positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). We analyzed 29 138 SARS-CoV-2 tests within the 6-county catchment area for Duke University Health System from March to June 2020. We used generalized additive models to analyze the spatial distribution of SARS-CoV-2 positivity. Adjusted models included individual-level age, gender, and race, as well as neighborhood-level Area Deprivation Index, population density, demographic composition, and household size. RESULTS: Our dataset included 27 099 negative and 2039 positive unique SARS-CoV-2 tests. The odds of a positive SARS-CoV-2 test were higher for males (odds ratio [OR], 1.43; 95% credible interval [CI], 1.30-1.58), blacks (OR, 1.47; 95% CI, 1.27-1.70), and Hispanics (OR, 4.25; 955 CI, 3.55-5.12). Among neighborhood-level predictors, percentage of black population (OR, 1.14; 95% CI, 1.05-1.25), and percentage Hispanic population (OR, 1.23; 95% CI, 1.07-1.41) also influenced the odds of a positive SARS-CoV-2 test. Population density, average household size, and Area Deprivation Index were not associated with SARS-CoV-2 test results after adjusting for race. CONCLUSIONS: The odds of testing positive for SARS-CoV-2 were higher for both black and Hispanic individuals, as well as within neighborhoods with a higher proportion of black or Hispanic residents-confirming that black and Hispanic communities are disproportionately affected by SARS-CoV-2.

Understanding Variation In Nonurgent Pediatric Emergency Department Use In Communities With Concentrated Disadvantage.

Children in communities with concentrated socioeconomic and structural disadvantage tend to have elevated rates of nonurgent visits to emergency departments (EDs). Using a spatial regression model of 264 census block groups in Pittsburgh, Pennsylvania, we investigated sociodemographic and structural factors associated with lower-than-expected ("low utilization") versus higher-than-expected ("high utilization") nonurgent ED visit rates among children in block groups with concentrated disadvantage. Compared with high-utilization block groups, low-utilization block groups had higher percentages of households with two adults, high school graduates, access to vehicles, sound housing quality, and owner-occupied housing. Notably, low-utilization block groups did not differ significantly from high-utilization block groups either in the percentage of households located within very close proximity to public transit or primary care or in children's health insurance coverage rates. Stakeholders wishing to reduce pediatric nonurgent ED visits among families in communities of concentrated disadvantage should consider strategies to mitigate financial, time, transportation, and health literacy constraints that may affect families' access to primary care.