Rapid Development, Training, and Implementation of a Remote Health Profession's Student Volunteer Corps During the COVID-19 Pandemic.

Public health in the United States has long been challenged by budget cuts and a declining workforce. The COVID-19 pandemic exposed the vulnerabilities left by years of neglecting this crucial frontline defense against emerging infectious diseases. In the early days of the pandemic, the University of Texas Medical Branch and the Galveston County Health District (GCHD) partnered to bolster Galveston County's public health response. We mobilized interprofessional teams of students and provided training to implement projects identified by GCHD as necessary for responding to the pandemic. We provided a safe outlet for students to contribute to their community by creating remote volunteer opportunities when students faced displacement from clinical rotations and in-person didactics converted to virtual formats. As students gradually returned to clinical rotations and didactic demands increased, it became necessary to expand volunteer efforts beyond what had initially been mostly hand-selected student teams. We have passed the initial emergency response phase of COVID-19 in Galveston County and are transitioning into more long-term opportunities as COVID-19 moves from pandemic to endemic. In this case study, we describe our successes and lessons learned.

Black-White Risk Differentials in COVID-19 (SARS-COV2) Transmission, Mortality and Case Fatality in the United States: Translational Epidemiologic Perspective and Challenges.

BACKGROUND: Social and health inequities predispose vulnerable populations to adverse morbidity and mortality outcomes of epidemics and pandemics. While racial disparities in cumulative incidence (CmI) and mortality from the influenza pandemics of 1918 and 2009 implicated Blacks with survival disadvantage relative to Whites in the United States, COVID-19 currently indicates comparable disparities. We aimed to: (a) assess COVID-19 CmI by race, (b) determine the Black-White case fatality (CF) and risk differentials, and (c) apply explanatory model for mortality risk differentials. METHODS: COVID-19 data on confirmed cases and deaths by selective states health departments were assessed using a cross-sectional ecologic design. Chi-square was used for CF independence, while binomial regression model for the Black-White risk differentials. RESULTS: The COVID-19 mortality CmI indicated Blacks/AA with 34% of the total mortality in the United States, albeit their 13% population size. The COVID-19 CF was higher among Blacks/AA relative to Whites; Maryland, (2.7% vs. 2.5%), Wisconsin (7.4% vs. 4.8%), Illinois (4.8% vs. 4.2%), Chicago (5.9% vs. 3.2%), Detroit (Michigan), 7.2% and St. John the Baptist Parish (Louisiana), 7.9%. Blacks/AA compared to Whites in Michigan were 15% more likely to die, CmI risk ratio (CmIRR) = 1.15, 95% CI, 1.01-1.32. Blacks/AA relative to Whites in Illinois were 13% more likely to die, CmIRR = 1.13, 95% CI, 0.93-1.39, while Blacks/AA compared to Whites in Wisconsin were 51% more likely to die, CmIRR = 1.51, 95% CI, 1.10-2.10. In Chicago, Blacks/AA were more than twice as likely to die, CmIRR = 2.24, 95% CI, 1.36-3.88. CONCLUSION: Substantial racial/ethnic disparities are observed in COVID-19 CF and mortality with Blacks/AA disproportionately affected across the United States.