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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.
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Summary Report/Recommendations
The U.S. Department of Health and Human Services (HHS) has taken significant steps to address the long-term effects of COVID-19, known as “Long COVID.” These actions include establishing advisory committees, forming offices dedicated to Long COVID research and practice, and providing technical guidance for evaluating disabilities related to Long COVID. HHS has also delivered comprehensive reports to the President outlining support services and research strategies. These efforts, in collaboration with various federal agencies, aim to assist individuals in living independently and participating in their communities while dealing with the ongoing impacts of COVID-19. Numerous resources, such as guides, civil rights protections, and workplace accommodations, have been made available to support those affected by Long COVID.
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:
Summary Report/Recommendations
The article highlights the need for routine collection, in public health data, of disaggregated information on race, ethnicity, and immigration status, which is not currently available in most countries. Studies from the United States and the United Kingdom have revealed major health inequities among members of racial and ethnic minorities, but little is known about the impact of immigration status on COVID-19 outcomes. These data gaps are a major impediment to designing effective tailored interventions for these populations. Collection and dissemination of COVID-19 data by country of birth or self-reported race/ethnicity (for second- or several-generational minorities) will help determine the relative contribution of each of the driving factors for the observed health disparities.