Find Resources
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
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.
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:
Summary Report/Recommendations
The article highlights the need for routine collection, in public health data, of disaggregated information on race, ethnicity, and immigration status, which is not currently available in most countries. Studies from the United States and the United Kingdom have revealed major health inequities among members of racial and ethnic minorities, but little is known about the impact of immigration status on COVID-19 outcomes. These data gaps are a major impediment to designing effective tailored interventions for these populations. Collection and dissemination of COVID-19 data by country of birth or self-reported race/ethnicity (for second- or several-generational minorities) will help determine the relative contribution of each of the driving factors for the observed health disparities.
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.
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 article highlights research examining the intersectionality between immigrant status and visible minority status in Canada in regards to the ease of accessing healthcare services before and during the COVID-19 pandemic through healthcare data analytics.