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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.
RELEASE DATE:
Peer Review Study
Using jail population data, county-level aggregate data, and policy intervention data, this study examines the association of jail decarceration and anticontagion policies with COVID-19 rates. This study adds a unique contribution to the discussion of incarceration and disease spreading, as it is the first to examine the effects of decarceration on population-level community health outcomes. The authors compare anticontagion policies within jails throughout the United States to other community policy interventions such as stay-at-home orders, nursing home visitation bans, school closures, and mask mandates. Additionally, the study analyzes four demographic subsets including income, population density, and median proportion of populations identifying as Black. The results showed that an 80% reduction in jail incarcerations would decrease disease spreading in both the prison system and the community, and was more effective than any other community policy intervention.
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
Using patient record data from the New York University Langone Health System, this study examines outcomes from individuals who tested positive for COVID-19 in New York City from March 1 through April 8, 2020, to examine differences in outcomes based on age, sex, body mass index, comorbidity, insurance type, and neighborhood socioeconomic status. The results indicated that while Black and Hispanic communities were experiencing larger mortality rates in the general population, the study did not find that Black and Hispanic individuals are experiencing worse COVID-19 outcomes, including mortality when hospitalized, as compared to hospitalized patients who are white. This study supports the idea that existing social determinants of health, such as access to housing, access to health care, differential employment outcomes, and poverty can impact mortality rates for Black and Hispanic communities.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
RELEASE DATE:
Peer Review Study
This study adapted the Lorenz curve methodology to characterize disparate outcomes in COVID-19 testing across time, regions, and ZIP codes for the St. Louis and Kansas City regions. The results showed that Black individuals have half the rate of testing per case than White populations, even among Black and White individuals residing in the same ZIP code. The study calls for equitable testing strategies and routine monitoring using formal metrics to inform adaptive testing strategies.
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 used publicly available data on COVID-19 cases and deaths in the United States counties to conduct an analysis that described racial disparities in COVID-19 disease and death and associated determinants. The results of the study showed that counties with higher proportions of black people had higher prevalence of COVID-19 cases and deaths. This study also recommends that county level comparisons can inform COVID-19 responses and identify hot spots to show that social conditions, structural racism, and other factors increase the risk for COVID-19 diagnosis and deaths in Black 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 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
The study analyzed data from different sources to estimate the racial and ethnic diversity of the current healthcare workforce and the graduate pipeline for healthcare professions, and to evaluate whether the diversity of the pipeline suggests greater representation of Black, Hispanic, and Native American populations in the future.
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 analyzed various factors that triggered the health disparity in the United States, along with the rate of COVID-19 morbidity and mortality, focusing on Mississippi. The analysis suggested that the COVID-19 infection rate per 100,000 people is directly correlated with increased proportions of the Black population in the United States. Data also indicate that a higher number of Black populations are facing socioeconomic disadvantages, which elevates their chances of becoming vulnerable to pre-existing ailments such as obesity, type 2 diabetes, and cardiovascular diseases.
Novel Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and are in the process of generating evidence of effectiveness or may not yet be tested.
RELEASE DATE:
Peer Review Study
This article presents a model proposal for an interactive computer system using mobile phones and the internet for real-time collection and transmission of events related to COVID-19 that could aid the administration and presumptive management of COVID-19, especially in rural areas. This proposal shows that a sophisticated COVID-19 surveillance system can be built using mobile phones with the appropriate telecommunication technology partner.
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 how the Marion County Public Health Department used a data-driven approach to address challenges to COVID-19 testing among populations disproportionately affected by the pandemic.
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 a retrospective co-cohort study conducted to assess COVID-19 cases among the indigenous Maya in Alameda County, California. The authors also discuss the issues in misclassification of public health data among the Maya people.