Find Resources
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.
RELEASE DATE:
Systematic Review/Meta-Analysis
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.
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.
RELEASE DATE:
Case Study, Peer Review Study
Practice involves using “get out the vote” (GOTV) outreach strategies, conventionally used in political campaigns, along with mobile pop-up vaccine clinics, to encourage vaccination among marginalized communities.
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 research links test results from a national laboratory database to the residential ZIP code from U.S. Census data, comparing positive rates of COVID-19 by race and ethnicity. The results show a correlation between ZIP codes with the highest proportion of Black and Hispanic populations and the highest rates of COVID-19.
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 study explores where and how Black women are obtaining information that pertains to COVID-19, along with the impacts that COVID-19 may be having on their daily lives. A codebook was developed based on the recorded interviews, which included deductive and inductive codes. A thematic analysis of the data was then conducted using MaxQDA (Verbi Software), focusing on Black women’s experiences related to COVID-19. The majority of participants were using a combination of social media platforms and news sources to obtain information about COVID-19.