Spatial Clustering of County-Level Covid-19 Rates in the U.S
Bibliographic Data
Despite the widespread prevalence of cases associated with the coronavirus disease 2019 (COVID-19) pandemic, little is known about the spatial clustering of COVID-19 in the United States. Data on COVID-19 cases were used to identify U.S. counties that have both high and low COVID-19 incident proportions and clusters. Our results suggest that there are a variety of sociodemographic variables that are associated with the severity of COVID-19 county-level incident proportions. As the pandemic evolved, communities of color were disproportionately impacted. Subsequently, it shifted from communities of color and metropolitan areas to rural areas in the U.S. Our final period showed limited differences in county characteristics, suggesting that COVID-19 infections were more widespread. The findings might address the systemic barriers and health disparities that may result in high incident proportions of COVID-19 clusters
2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19 · Disease · Environmental health · Geography · Infectious disease (medical specialty · Metropolitan area · Outbreak · Pandemic · Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2 · COVID-19 and healthcare impacts · COVID-19 epidemiological studies · Demography · Health disparities and outcomes · Medicine · Virology
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| Unique citing works | 4 |
|---|---|
| Citations per year | 1 |
| Citation span | 2022 - 2025 (4) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 4 |