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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 looked at variations in COVID-19 diagnoses by ZIP code, race, and ethnicity in Indiana. The study examines patient information from the Indiana University Health system and geolocates the patient’s ZIP codes to calculate the number of COVID-19 cases per 10,000 persons for each ZIP code. The results showed that ZIP codes with higher percentages of African Americans, Hispanics, foreign-born persons, and residents living in poverty are disproportionately affected by COVID-19.
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 resource discusses the results of the 2020 COVID-19 Resiliency Survey, which was conducted in Chicago, Illinois to gauge the impact of COVID-19 on the city during their first wave of cases. Specific focus is given to the experiences of minority groups, both racial/ethnic and sexual/gender minorities. The results show that these marginalized groups – specifically Black, Latinx, sexual minority and gender minority groups – experience more disparities in COVID-19 exposure, susceptibility, treatment access, and psychosocial effects from the pandemic. The resource offers solutions to reducing these 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 article conducted a cross-sectional study of 351 Massachusetts cities and towns from January 1-May 6, 2020, to understand what demographic, economic, and occupational factors are affecting COVID-19 incidence rates. Results found that non-Latino Black and Latino populations are at most risk of contracting COVID-19. Addressing factors like healthcare access for foreign-born non-citizens, crowded housing, and the protection of food service workers may help mitigate spread among minority populations.