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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 assessed intent to be vaccinated and concerns among members of seven U.S. racial and ethnic groups (1,000 Black, 500 American Indian/Alaska Native, 1,000 Asian, 1,000 Latino [500 English-speaking and 500 Spanish-speaking], 500 Pacific Islander, 500 multiracial, and 1,000 White adults) in the COVID-19′s Unequal Racial Burden (CURB) survey conducted December 2020-February 2021.
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.
RELEASE DATE:
Peer Review Study
This study details a national, state-level analysis of COVID-19 infection and mortality disparities between ethnic and racial subgroups using data from the COVID Tracking Project. Results found significantly higher rates of COVID-19 infections among Hispanic and African American populations. A choropleth map of disparities in the United States was produced as part of the study.
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.
RELEASE DATE:
Peer Review Study
This is a retrospective cohort study that was used to inform COVID-19 infection prevention measures by identifying and assessing risk and possible vectors of infection in nursing homes (NHs) using a machine-learning approach. The strongest predictors of COVID-19 infection were identified as the county’s infection rate and the number of separate units in the NH; other predictors included the county’s population density, historical health deficiencies, and resident density. In addition, the NH’s historical percentage of non-Hispanic white residents was identified as a protective factor. The study concluded that a machine-learning model can help quantify and predict infection risk.