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This review of state data collection and reporting practices during the COVID-19 pandemic found inconsistencies and gaps in data collected by race and ethnicity. Improved standardization across the U.S.–which may come in the form of a federally-operated centralized database–would address some of the concerns in data representation of all Americans.

This analysis explores regional variation in COVID-19 death rates across America. It unpacks the “two Americas” narrative of some parts of the country having high demand for vaccines and others having widespread vaccine hesitancy, and shows that a divide between rates of exceeds death existed prior to the introduction in vaccines. This difference is likely due to a difference in mask use, social distancing, and other behaviors. Results underscore the importance of excess mortality measures such as wastewater testing to get a more accurate picture.

This study assesses the usefulness in death data from a medical examiner’s office in strategic planning during a pandemic. There was found to be a statistically significant correlation between daily reported death numbers from a medical examiner’s office and hospital admissions. As such, death data from a medical examiner’s office can be assumed to be a reliable source and used when developing strategic plans.

This study analyzes different epidemic models of COVID-19. It demonstrates the variability of models’ ability to predict COVID-19 transmission and outbreak. It advises public health practitioners to exercise caution when formulating public health strategies based on the prediction results of mathematical models due to this variability.

The Johns Hopkins University COVID-19 dashboard, which was launched one day after the first confirmed US COVID-19 case, provides an accessible means of viewing COVID-19 cases, deaths, recoveries, and vaccination rates globally. This report covers the data collection process and challenges faced while doing so, especially those related to pulling data from various sources. It offers ways for public health agencies to adapt their approaches for reporting data.

This analysis identifies risk factors and socio-economic impacts of long COVID with a public health lens. It notes that more analysis is needed, but encourages the impacts of long COVID to be seen within a larger social, and not just medical, context. Workplace and family structure implications are substantial. Long COVID should be tracked as distinct condition using person-centered research techniques that include traditionally underrepresented populations such as children.

This article discusses the development of the Visible app, which uses wearables or smart watches to help measure and manage long COVID. Visible helps to manage long COVID and other chronic fatigue diseases with a heartrate-monitored guidance strategy that emphasizes pacing as long COVID patients return to physical activity.

This brief lists interventions to support state public health efforts to address rural disparities and racial discrimination. It emphasizes the importance of localized data on social determinants of health and improving systemic and structural underpinnings of racial disparities. Suggested interventions address data collection and workforce issues, including representativeness and paid family leave.

This article describes an approach to virtual recruitment to engage rural residents with atrial fibrillation in a clinical trial during the COVID-19 pandemic. The authors mainly report process outcomes related to successful recruitment and retention of trial participants, and qualitative data on participants experiences.

This article conducts a retrospective case-control study of electronic health records of individuals who were diagnosed with COVID-19 and have a recent diagnosis of substance use disorder (SUD). The results show that those diagnosed with SUD, particularly African Americans and those with opioid use disorder (OUD), are more likely to contract COVID-19, as well as suffer worsening outcomes such as hospitalization and mortality due to COVID-19. This article shows that an increase in SUD screening could be a factor in mitigating the spread of COVID-19 in this community.