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Background: COVID-19 pandemic effects are still being elucidated. Stay-at-home orders and social distancing compounded with COVID-19 concerns have caused significant disruptions in daily life. One notable effect of these variables may be a change in the number of emergency department (ED) visits. This study aims to investigate the effects of COVID-19 on ED visits, and possible reasons for changes. Methods: Retrospective analysis using CDC data for ED visits and percentage of visits for COVID-19-Like Illness (CLI) and Influenza-Like Illness (ILI). Google Trends was used to assess COVID-19 public awareness. Motor vehicle collision (MVC) data was collected from cities, which reported current data. A descriptive statistical analysis and two-sample t-test was performed on ED visit data to assess for significance and a descriptive analysis was conducted to assess COVID-19's impact on MVCs. Results: The mean number of ED visits per week for the last four weeks of available data during the pandemic was significantly less than the four weeks prior to COVID-19 pandemic (p = 0.008). The ED visit decrease per week varied by region, with Region 1 having the greatest decrease (45%). MVCs decreased substantially across all cities studied, with New York City and Baton Rouge experiencing the greatest decrease (66%) during the pandemic. Conclusion:A number of factors have likely contributed to the substantial decrease in ED visits observed in this study. In light of these findings, it is important to raise patient awareness regarding acute conditions that are deadlier than COVID-19 and require immediate medical intervention to ensure recovery.

Background Health disparities are prevalent in many areas of medicine. We aimed to investigate the impact of the COVID-19 pandemic on racial/ethnic groups in the United States (US) and to assess the effects of social distancing, social vulnerability metrics, and medical disparities. Methods A cross-sectional study was conducted utilizing data from the COVID-19 Tracking Project and the Centers for Disease Control and Prevention (CDC). Demographic data were obtained from the US Census Bureau, social vulnerability data were obtained from the CDC, social distancing data were obtained from Unacast, and medical disparities data from the Center for Medicare and Medicaid Services. A comparison of proportions by Fisher’s exact test was used to evaluate differences between death rates stratified by age. Negative binomial regression analysis was used to predict COVID-19 deaths based on social distancing scores, social vulnerability metrics, and medical disparities. Results COVID-19 cumulative infection and death rates were higher among minority racial/ethnic groups than whites across many states. Older age was also associated with increased cumulative death rates across all racial/ethnic groups on a national level, and many minority racial/ethnic groups experienced significantly greater cumulative death rates than whites within age groups ≥ 35 years. All studied racial/ethnic groups experienced higher hospitalization rates than whites. Older persons (≥ 65 years) also experienced more COVID-19 deaths associated with comorbidities than younger individuals. Social distancing factors, several measures of social vulnerability, and select medical disparities were identified as being predictive of county-level COVID-19 deaths. Conclusion COVID-19 has disproportionately impacted many racial/ethnic minority communities across the country, warranting further research and intervention.

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