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Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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Peer Review Study
The authors explored the ways Ultra-Orthodox Jews in Israel learned about the pandemic and examined their COVID-19-related decision-making. Drawing on the disproportionate magnitude of COVID-19-related morbidity on Israel’s Ultra-Orthodox Jews, the authors examined their processes of COVID-19 health decision-making. Survey results show that both religious and health-related justifications were common for personal decisions, yet a disparity was found between the ways social distancing guidelines were perceived in the general education context compared to a religious context, signaling the importance for inclusive models of science communication that account for religious sensibilities and state-minority relations.
Best Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by achievement of aims consistent with the objectives of the activities.
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Peer Review Study
The authors examine how the intersection of race and religion influences perceptions of COVID-19 vaccinations. Data for this study come from online surveys conducted in 12 congregations between October and December 2020. The findings suggest that the intersection of race and religion should be considered when designing immunization programs, for instance by fostering collaborations and dialogue with faith leaders of racial minority congregations.
Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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Data Collection Tool
The COVID Racial Data Tracker is a collaboration between the COVID Tracking Project and the Boston University Center for Antiracist Research. The tracker is a collection of race and ethnicity data on COVID-19 in the United States.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Data Collection Tool
This interactive, county-level map captures COVID-19 cases, hospitalizations, and deaths by tribe in Oklahoma.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Data Collection Tool
The National Equity Atlas is a first-of-its-kind web resource for data to track, measure, and make the case for inclusive growth. The Atlas provides deeply disaggregated, longitudinal data on demographic change, racial and economic inclusion, and the economic benefits of equity for the largest 100 cities, largest 150 regions, all 50 states, and the United States. The data can be used for data collection and analysis.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Data Collection Tool
This special edition data tool provides important information related to the COVID-19 pandemic, such as data regarding where populations vulnerable to the COVID-19 pandemic reside, where the cases are surging, and which communities will require greater hospital capacity for severe COVID-19. The data can be used for data collection and analysis.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Data Collection Tool
This dashboard provides national-level demographic COVID-19 vaccination data for data collection and analysis. The data is available by race, sex, and age.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Data Dashboard
This dashboard provides national-level demographic COVID-19 case and death data for data collection and analysis. The data from the previous day is available by race, sex, and age as reported by U.S. states, U.S. territories, New York City (NYC), and the District of Columbia.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Data Collection Tool
The Mapping Medicare Disparities (MMD) Population View provides a user-friendly way to explore and better understand disparities in chronic diseases, and allows users to: (1) visualize health outcome measures at a national, state, or county level; (2) explore health outcome measures by age, sex, race and ethnicity; (3) compare differences between two geographic locations (e.g., benchmark against the national average); and (4) compare differences between two racial and ethnic groups within the same geographic area.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Peer Review Study
The authors assess racial and ethnic disparities in four experience-of-care metrics among Medicaid managed care enrollees and estimate the extent to which overall disparities may be attributed to within-plan disparities versus between-plan disparities.