Increases in Violence and Changes in Trauma Admissions During the COVID Quarantine.

BACKGROUND: The COVID-19 pandemic caused an abrupt change to societal norms. We anecdotally noticed an increase in penetrating and violent trauma during the period of stay-at-home orders. Studying these changes will allow trauma centers to better prepare for future waves of COVID-19 or other global catastrophes. METHODS: We queried our institutional database for all level 1 and 2 trauma activations presenting from the scene within our local county from March 18 to May 21, 2020 and matched time periods from 2016 to 2019. Primary outcomes were overall trauma volume, rates of penetrating trauma, rates of violent trauma, and transfusion requirements. RESULTS: The number of penetrating and violent traumas at our trauma center during the period of societal quarantine for the COVID-19 pandemic was more than any historical total. During the COVID-19 time period, we saw 39 penetrating traumas, while the mean value for the same time period from 2016 to 2019 was 26 (P = .03). We saw 45 violent traumas during COVID; the mean value from 2016 to 2019 was 32 (P = .05). There was also a higher rate of trauma patients requiring transfusion in the COVID cohort (6.7% vs 12.2%). DISCUSSION: Societal quarantine increased the number of penetrating and violent traumas, with a concurrent increased percentage of patients transfused. Despite this, there was no change in outcomes. Given the continuation of the COVID-19 pandemic, quarantine measures could be re-implemented. Data from this study can help guide expectations and utilization of hospital resources in the future.

Relationship between political partisanship and COVID-19 deaths: future implications for public health.

BACKGROUND: COVID-19 has impacted more than 200 countries. However in the USA, the response to the COVID-19 pandemic has been politically polarized. The objective of this study is to investigate the association between political partisanship and COVID-19 deaths rates in the USA. METHODS: This study used longitudinal county-level panel data, segmented into 10 30-day time periods, consisting of all counties in the USA, from 22 January 2020 to 5 December 2020. The outcome measure is the total number of COVID-19 deaths per 30-day period. The key explanatory variable is county political partisanship, dichotomized as Democratic or Republican. The analysis used a ZINB regression. RESULTS: When compared with Republican counties, COVID-19 death rates in Democratic counties were significantly higher (IRRs ranged from 2.0 to 18.3, P < 0.001) in Time 1-Time 5, but in Time 9-Time10, were significantly lower (IRRs ranged from 0.43 to 0.69, P < 0.001). CONCLUSION: The reversed trend in COVID-19 death rates between Democratic and Republican counties was influenced by the political polarized response to the pandemic. The findings support the necessity of evidence-based public health leadership and management in maneuvering the USA out of the current COVID-19 pandemic and prepare for future public health crises.

Deaths From COVID-19 in Rural, Micropolitan, and Metropolitan Areas: A County-Level Comparison.

PURPOSE: The United States has experienced a surge of COVID-19 cases and deaths. Regardless of the overall increase in the prevalence and mortality, there are disagreements about the consequences of exposure and contracting COVID-19, specifically in rural areas. Rural areas have inherent characteristics that increase their vulnerability to contracting COVID-19. The objective of this study was to investigate the differences in death rates from COVID-19 between urban and rural areas in the United States. METHODS: This study used county-level data. The data set consisted of confirmed COVID-19 cases and deaths along with county-level demographics. The sample consisted of all counties in the 50 US states and DC. Counties were designated as metropolitan, micropolitan, and rural. A zero-inflated negative binomial regression was used to estimate county-level number of deaths conditional on contracting COVID-19. The study focused on COVID-19-related mortality from February 10, 2020, to June 12, 2020. FINDINGS: After controlling for county-level characteristics, the rate of COVID-19 deaths was 70.3% (P < .001) for rural counties and 53.4% (P < .001) for micropolitan counties, both significantly lower than metropolitan counties during the study time period. CONCLUSION: Over time, rural geography and social isolation may not provide sustainable protection to rural residents from the pandemic. The slow progression provides rural areas additional time and opportunity to learn from the experiences in urban areas that were most affected. Rural areas need to be proactive and develop prevention strategies and response plans to manage and control the spread of COVID-19.