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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
In this report, the authors evaluate health equity across race and ethnicity, both within and between states, to illuminate how state health systems perform for Black, White, Latinx/Hispanic, American Indian/Alaska Native, and Asian American, Native Hawaiian, and Pacific Islander populations.
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.
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
This report uses preliminary data on COVID-19 mortality rates among Asian Minnesotans. It draws attention to the disproportionate COVID-19 mortality rates among Hmong, Karen, and Karenni residents to demonstrate the critical importance of data disaggregation.