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Context: In the United States, COVID-19 vaccines have been unequally distributed between different racial and ethnic groups. Public reporting of race and ethnicity data for COVID-19 vaccination has the potential to help guide public health responses aimed at promoting vaccination equity. However, there is evidence that such data are not readily available.
Objectives: This study sought to assess gaps and discrepancies in COVID-19 vaccination reporting in 10 large US cities in July 2021.
Design, Setting, And Participants: For the 10 cities selected, we collected COVID-19 vaccination and population data using publicly available resources, such as state health department Web sites and the US Census Bureau American Community Survey. We examined vaccination plans and news sources to identify initial proposals and evidence of implementation of COVID-19 vaccination best practices.
Main Outcome Measure: We performed quantitative assessment of associations of the number of vaccination best practices implemented with COVID-19 racial and ethnic vaccination equity. We additionally assessed gaps and discrepancies in COVID-19 vaccination reporting between states.
Results: Our analysis did not show that COVID-19 vaccination inequity was associated with the number of vaccination best practices implemented. However, gaps and variation in reporting of racial and ethnic demographic vaccination data inhibited our ability to effectively assess whether vaccination programs were reaching minority populations.
Conclusions: Lack of consistent public reporting and transparency of COVID-19 vaccination data has likely hindered public health responses by impeding the ability to track the effectiveness of strategies that target vaccine equity.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9560901 | PMC |
http://dx.doi.org/10.1097/PHH.0000000000001610 | DOI Listing |
J Clin Invest
September 2025
The University of Texas at Austin, Austin, United States of America.
Background: Following SARS-CoV-2 infection, ~10-35% of COVID-19 patients experience long COVID (LC), in which debilitating symptoms persist for at least three months. Elucidating biologic underpinnings of LC could identify therapeutic opportunities.
Methods: We utilized machine learning methods on biologic analytes provided over 12-months after hospital discharge from >500 COVID-19 patients in the IMPACC cohort to identify a multi-omics "recovery factor", trained on patient-reported physical function survey scores.
J Relig Health
September 2025
Department of Health Systems Management, Ariel University, 4 Kiryat Hamada, 40700, Ariel, Israel.
Many religious Jews resisted COVID-19 measures intended to reduce mortality and morbidity. This study examined Israeli religious Jews' trust levels in healthcare and religious institutions and adherence to government COVID-19 guidelines, via an online survey of 459 Israeli religious, primarily ultra-Orthodox (Haredi), Jews. Bivariate analyses found that most respondents trusted rabbis and charitable/social services regarding COVID-19 guidelines, while under half trusted the four healthcare-related entities examined.
View Article and Find Full Text PDFHealth Commun
September 2025
College of Journalism and Communications, University of Florida.
As family communication is significantly related to individuals' health decision-making, it is crucial to tap into the power of this relationship for public health initiatives. The COVID-19 pandemic provided a ripe context in which to explore whether vaccination messaging could be tailored in such a way as to target specific family communication climates to encourage vaccine promotion among family members. Specifically, our study ( = 1,276) designed pro-vaccination messaging tailored based on two types of family communication styles.
View Article and Find Full Text PDF