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
This study examined the sociodemographic characteristics of the residents of Cameron County, Texas, one of the most Hispanic-populated counties in the United States with over 90% of residents identifying as Hispanic. The study analyzed data from March to December 2020, and studied both social determinants of health and COVID-19 mitigation policies, such as the “shelter in place” mandate. The results show that single parents, those living below the poverty level, and those who do not fluently speak English are at a more increased risk of contracting COVID-19. The shelter in place mandate was able to reduce community transmission within three weeks of implementation, but the results of its impact vary greatly by age, sex, and race.
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 study sought to assess the correlation between population and spatial characteristics of COVID-19 by examining positive COVID-19 data from New York City with ZIP Code Tabulation Areas to determine what social determinants of health increase an individual’s risk of contracting COVID-19. Results showed that neighborhoods with larger proportions of Black people, people older than 65, people with heart disease, and people living in densely populated housing are at higher risk of contracting 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
This study highlights the geographic differences in COVID-19 positivity rates within Los Angeles county, taking into consideration other socio-structural determinants that impact these rates. The data — testing data from the LAC Department of Public Health and American Community Survey data — was analyzed and mapped to include testing rates, race/ethnicity, poverty, insurance status, education, and population/household density. Results found higher COVID-19 positivity rates in communities with higher proportions of Latinx residents, those living below the federal poverty line, and those with high household densities.
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 looks at the association between county-level income inequality and COVID-19 cases and deaths from March 2020 to February 2021. This cohort study used county-level longitudinal data for all 50 states, Puerto Rico, and D.C. Results showed that income equality was associated with higher rates of COVID-19 cases and mortality. Targeting communities with higher rates of income inequality must be considered to lessen the burden of inequality.
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 assesses COVID-19 data at the neighborhood aggregation level for seven states – Arizona, Florida, Illinois, Maryland, North Carolina, South Carolina, and Virginia – to determine if there is a correlation between COVID-19 prevalence and neighborhood characteristics. The study developed an Area Deprivation Index (ADI), a composite measure to rank neighborhoods by socioeconomic characteristics, using the 2018 US Census survey. The results found that in certain states, such as Illinois and Maryland, zip codes with higher ADI scores experienced more prevalence of COVID-19 cases. The only states where this pattern was not consistent were Florida and Virginia.
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 examines the relationship between changes in health-related socioeconomic risks (HRSRs) and mental health for women ages 18-90 during the COVID-19 pandemic. Data was collected through a survey that asked questions about any patterns of change in HRSRs (food insecurity, housing instability, interpersonal violence, and difficulties with utilities and transportation). The results found that 40% of women had one or more prepandemic HRSRs, with an increase in HRSRs experience during the pandemic. The odds of depression, anxiety, and post-traumatic stress symptoms are two or three times higher among women who reported at least one HRSR.
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 describes demographic characteristics and hospital bed capacities of the five New York City boroughs and evaluates whether differences in testing for COVID-19, hospitalizations, and deaths have emerged as a signal of racial, ethnic, and financial disparities. Results showed disparities among the boroughs. Bronx, with the highest proportion of racial/ethnic minorities, the most persons living in poverty, and the lowest levels of educational attainment, had higher rates of hospitalization and death from COVID-19 than the other boroughs.
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.
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 study uses individual-level COVID-19 data from Michigan to analyze incidence and mortality rates based on race/ethnicity demographics and other socioeconomic factors. Results found African Americans have the highest confirmed and probable COVID-19 cases, but that disparities likely exist due to variations in household, community, and workplace exposure rather than case-fatality rates.