A Closer Look at the Rising Epidemic of Mass Shootings in the United States and Its Association With Gun Legislation, Laws, and Sales.

INTRODUCTION: Mass shootings pose a considerable threat to public safety and significantly cost the United States in terms of lives and expenses. The following are the specific aims of this study: (1) to assess US mass shootings, firearm-related sales, laws, and regional differences from 2015 to 2021 and (2) to investigate changes in mass shootings and firearm sales before and during the Coronavirus Disease 2019 pandemic. METHODS: A retrospective review was conducted of mass shootings, gun sales, and laws regarding the minimum age required to purchase a firearm within the United States from 2015 to 2021. The 10 states/regions with the greatest mean mass shootings/capita from 2015 to 2021 were selected for further analysis. RESULTS: Mass shootings correlated significantly with firearm sales from 2015 to 2021 nationwide (P < 0.02 for all). The growth in mass shootings, the number killed/injured, and gun sales were greater in 2020 and 2021 compared to the years prior. The 10 states with the highest mean mass shooting/capita over the study period were Alabama, Arkansas, the District of Columbia, Illinois, Louisiana, Maryland, Mississippi, Missouri, South Carolina, and Tennessee. No significant correlation was found between the number of mass shootings/capita and the minimum age to purchase a firearm. CONCLUSIONS: Firearm sales correlated significantly with mass shootings from 2015 to 2021. Mass shootings and gun sales increased at greater rates during the Coronavirus Disease 2019 pandemic compared to the years before the pandemic. Mass shootings exhibited inconsistent trends with state gun laws regarding the minimum age to purchase a firearm. Future studies may consider investigating the methods by which firearms used in mass shootings are obtained to further identify targets for prevention.

Trauma Prevalence and Resource Utilization During 4 COVID-19 "Surges": A National Analysis of Trauma Patients From 92 Trauma Centers.

INTRODUCTION: We aim to assess the trends in trauma patient volume, injury characteristics, and facility resource utilization that occurred during four surges in COVID-19 cases. METHODS: A retrospective cohort study of 92 American College of Surgeons (ACS)-verified trauma centers (TCs) in a national hospital system during 4 COVID-19 case surges was performed. Patients who were directly transported to the TC and were an activation or consultation from the emergency department (ED) were included. Trends in injury characteristics, patient demographics & outcomes, and hospital resource utilization were assessed during four COVID-19 case surges and compared to the same dates in 2019. RESULTS: The majority of TCs were within a metropolitan or micropolitan division. During the pandemic, trauma admissions decreased overall, but displayed variable trends during Surges 1-4 and across U.S. regions and TC levels. Patients requiring surgery or blood transfusion increased significantly during Surges 1-3, whereas the proportion of patients requiring plasma and/or platelets increased significantly during Surges 1-2. Patients admitted to the hospital had significantly higher Injury Severity Score (ISS) and mortality as compared to pre-pandemic during Surge 1 and 2. Patients with Medicaid or uninsured increased significantly during the pandemic. Hospital length of stay (LOS) decreased significantly during the pandemic and more trauma patients were discharged home. CONCLUSIONS: Trauma admissions decreased during Surge 1, but increased during Surge 2, 3 and 4. Penetrating injuries and firearm-related injuries increased significantly during the pandemic, patients requiring surgery or packed red blood cells (PRBCs) transfusion increased significantly during Surges 1-3. The number of patients discharged home increased during the pandemic and was accompanied by a decreased hospital length of stay (LOS).

Disparities in global COVID-19 vaccination rates & allocation of resources to countries in need.

As of July 20th, 2021, over 191 million confirmed COVID-related cases and 4.1 million COVID-related deaths have been documented across the globe. Vaccines were initially prioritized in healthcare workers (HCWs) and elderly populations to provide protection to high-risk individuals. However, despite the intra-and-international distribution of COVID-19 vaccines, there is considerable variability in the vaccination rates observed worldwide. For example, the United Arab Emirates reported 166 vaccine doses/100 population, whereas most of the countries in Africa have administered <10 doses/100 population. The inadequate supply of vaccinations in addition to the lack of swift distribution/reallocation of vaccines that arrived likely contribute to the low vaccination rates observed in Africa. The US and many countries in Europe began administering vaccines in December 2020, whereas the majority of countries in Africa began administering vaccines in March 2021. In order to mitigate COVID-related deaths, we recommend that countries join in the efforts of allocating COVID vaccines to countries in need. In addition, we recommend for the partial vaccination of a larger proportion of high-risk population as opposed to fully vaccinating half the amount. However, adequate supply of vaccines may be of limited use if not distributed in a time-sensitive manner. We recommend for the implementation of targeted and cost-effective vaccine allocation and distribution strategies in order to increase vaccination rates, reserve healthcare systems resources and avoid any preventable deaths associated with COVID-19 infections.

COVID-19 fatalities by zip codes and socioeconomic indicators across various U.S. regions.

BACKGROUND: There is a paucity of literature addressing COVID-19 case-fatality ratios (CFR) by zip code (ZC). We aim to analyze trends in COVID-19 CFR, population density, and socioeconomic status (SES) indicators (unemployment, median household income) to identify ZCs heavily burdened by COVID-19. METHODS: Cross-sectional study to investigate the US prevalence of COVD-19 fatalities by ZC and SES. CFRs were calculated from state/county Departments of Health. Inclusion criteria were counties that reported cases/deaths by ZC and a CFR≥2%. This study was reported in line with the STROCSS criteria. RESULTS: 609/1,853 ZCs, spanning 327 counties in 7 states had CFRs ≥2%. A significant positive correlation was found between the CFR and median household income (Pearson correlation:0.107; 95% CI [289.1,1937.9]; p < 0.001). No significant correlations exist between the CFR, and population/mi (Sen-Crowe et al., 2020) [2] or unemployment rate. Significant associations exist between the CFR and young males and elderly females without public insurance. CFR was inversely associated with persons aged <44 and individuals aged ≥65. The percentage of nursing homes (NHs) within cities residing within high CFR ZCs range from 8.7% to 67.6%. CONCLUSION: Significant positive association was found between the CFR and median household income. Population/mi (Sen-Crowe et al., 2020) [2] and unemployment rates, did not correlate to CFR. NHs were heavily distributed in high CFR zip codes. We recommend the targeted vaccination of zip codes with a large proportion of long-term care facilities. Finally, we recommend for improved screening and safety guidelines for vulnerable populations (e.g nursing home residents) and established protocols for when there is evidence of substantial infectious spread.

A Closer Look Into Global Hospital Beds Capacity and Resource Shortages During the COVID-19 Pandemic.

BACKGROUND: As the COVID-19 pandemic continues, there is a question of whether hospitals have adequate resources to manage patients. We aim to investigate global hospital bed (HB), acute care bed (ACB), and intensive care unit (ICU) bed capacity and determine any correlation between these hospital resources and COVID-19 mortality. METHOD: Cross-sectional study utilizing data from the World Health Organization (WHO) and other official organizations regarding global HB, ACB, ICU bed capacity, and confirmed COVID-19 cases/mortality. Descriptive statistics and linear regression were performed. RESULTS: A total of 183 countries were included with a mean of 307.1 HBs, 413.9 ACBs, and 8.73 ICU beds/100,000 population. High-income regions had the highest mean number of ICU beds (12.79) and HBs (402.32) per 100,000 population whereas upper middle-income regions had the highest mean number of ACBs (424.75) per 100,000. A weakly positive significant association was discovered between the number of ICU beds/100,000 population and COVID-19 mortality. No significant associations exist between the number of HBs or ACBs per 100,000 population and COVID-19 mortality. CONCLUSIONS: Global COVID-19 mortality rates are likely affected by multiple factors, including hospital resources, personnel, and bed capacity. Higher income regions of the world have greater ICU, acute care, and hospital bed capacities. Mandatory reporting of ICU, acute care, and hospital bed capacity/occupancy and information relating to coronavirus should be implemented. Adopting a tiered critical care approach and targeting the expansion of space, staff, and supplies may serve to maximize the quality of care during resurgences and future disasters.

Public health prevention and emergency preparedness funding in the United States: Are we ready for the next pandemic?

•The CDC's cumulative funding for Public Health, Prevention, and Emergency Preparedness decreased over the course of 2011-2020, however, NIH funding dedicated to Prevention displayed an overall increase from 2008 to 2019.•The Hospital Preparedness Program (HPP) is the only source of federal funding for healthcare system readiness, yet their budget exhibited consistent reductions from 2003 to 2018.•Public health emergencies like the COVID-19 pandemic have demonstrated more significant consequences than other diseases that receive greater funding.•Allocating additional funding towards CDC health prevention in addition to expanding the Public Health Preparedness Response Fund (PHPR) and Prevention and Public Health Fund (PPHF) may improve future prevention and preparedness measures.