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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:
Peer Review Study
According to recent data from the Centers for Disease Control and Prevention (CDC), the percentage of individuals reporting Long COVID symptoms has decreased from 19% in June 2022 to 11% in January 2023 among those who have had COVID-19. While this decline is notable, 15% of all US adults have reported experiencing Long COVID symptoms at some point, with 6% currently affected. Long COVID continues to pose challenges, including limitations in daily activities for 79% of those affected and potential long-term disabilities. Efforts to address Long COVID include research initiatives and public health actions, but its full impact and the reasons behind the decline in reported cases remain subjects of ongoing study and concern.
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 discusses the resilience of Indigenous communities in the Arctic during the COVID-19 pandemic. Despite facing vulnerabilities such as limited access to healthcare and infrastructure, these communities had lower COVID-19 death rates compared to southern regions. The article highlights the importance of Indigenous health-care sovereignty and self-determination in controlling the spread of the virus. Indigenous-led decision-making, community-centered approaches, and cultural relevance played a crucial role in mitigating the impact of the pandemic. Recognizing and promoting Indigenous Peoples’ self-determination in healthcare is essential for developing sustainable health-care systems and addressing future health crises.
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:
Case Study, Peer Review Study
This article describes the rapid statewide COVID-19 vaccination strategy implemented by the North Carolina Department of Health and Human Services. The strategy focused on equitable distribution and reaching hard to reach populations, including racial and ethnic minority groups and rural communities.
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:
Peer Review Study
This study uses COVID-19 death data by racial/ethnic group and age, along with US Census population data to explore variations in mortality risk by calculating age-specific mortality measures. The results found that minority groups such as non-Hispanic Black, Hispanic, and non-Hispanic American Indian or Alaska Native populations experience more COVID-19 mortality than White patients, but also experience more years of potential life lost due to racial/ethnic disparities.
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:
Peer Review Study
This article describes how the Northwest Portland Area Indian Health Board (NPAIHB) telehealth program, known as Extensions for Community Healthcare Outcomes (ECHO), or teleECHO, adapted to COVID-19 in providing community clinicians/public health workers access to experts. Descriptions of how healthcare providers and staff adapted practices to be culturally responsive to tribal communities is presented.
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
The article presents strategies of how Durham County Department of Public Health operationalized equity into multiple phases of its COVID-19 response through infrastructure changes and how to apply these methods to future public health emergencies to better serve vulnerable populations. This response relied upon robust data collection of demographic data to identify inequities. Infrastructure changes included standing up multiple COVID-19 Task Forces (Homeless, Community, Food Security, African American) and Strike Teams (Long-Term Care Facility, Clusters) targeting vulnerable populations; placing testing sites in targeted locations; collaborating with multisector and community partners for feedback; and providing Health Ambassadors for in-person dissemination of COVID-19 information. The paper reviews results from these interventions and lessons learned.
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
The article highlights quantitative bias analysis as a method for improving racial and ethnic COVID-19 disparity estimates when data are missing.