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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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Peer Review Study
This study examined the impact of variable infection risk by race and ethnicity on the dynamics of SARS-CoV-2 spread by fitting compartmental SEIR (Susceptible-Exposed-Infectious-Removed) transmission models structured by race and ethnicity to seroprevalence data from New York City and Long Island and analyzing how herd immunity thresholds, final sizes, and epidemic risk change across groups. The results highlight the importance of developing socially informed COVID-19 transmission models that incorporate patterns of epidemic spread across racial and ethnic groups.
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:
Blog
This blog highlights how states have analyzed and used race and ethnicity data to respond to COVID-19 disparities. The blog also includes a tracker of states’ public reporting of COVID-19 by race and ethnicity.
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:
Blog
This blog highlights examples of how states are using data to inform their health equity approaches.
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:
Blog
This blog highlights the approaches taken and experiences of state officials in Minnesota and North Carolina in developing COVID-19 immunization data systems, including data challenges, successes, and implications for ensuring an equitable vaccine rollout now and in the future.
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.
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Toolkit
The toolkit describes positive and problematic practices for centering racial equity across the six stages of the data life cycle: (1) data collection, (2) data access, (3) use of algorithms and statistical tools, (4) data analysis, and (5) reporting and dissemination.
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.
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Webinar
This webinar series focuses on the Community Information Exchange (CIE) Data Equity Framework, in which the goal is to build data systems to help institutions, and the communities they serve, approach CIE® planning and systems change work from a place of anti-racism. Part one of the series focuses on reviewing the CIE Data Equity Framework and part two focuses on examining the application of the framework across different systems including public health, social, philanthropy, and more.
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.
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Toolkit
The Community Information Exchange (CIE) Data Equity Framework’s goal is to build data systems to help institutions, and the communities they serve, approach CIE® planning and systems change work from a place of anti-racism by: (1) naming how data system design reflects understanding of and participation by the intended beneficiaries of current programs and interventions; (2) acknowledging and documenting the effects of a spectrum of data system design types on oppressed populations and communities; (3) identifying strategies needed to eliminate the harm of current processes and practices; (4) highlighting the behavior change needed to rebuild or change the overall data system to better meet community needs across racial and ethnic populations; and (5) adopting practices that promote restorative justice and mitigate harm and exploitation.
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.
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White Paper/Brief
This article details the adaptation of the 2020 Community Health Survey by the New York City Department of Health and Mental Hygiene in order to capture the impact of COVID-19 on physical health, mental health, and social determinants of health. It explains how the survey questions were adapted, how collection of survey data was adapted, and how a serosurvey was implemented. Two new polls were added, Healthy NYC and 7 Health Opinion Poll, to learn about COVID-19 related opinions, attitudes, and knowledge.
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.
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Summary Report/Recommendations
This article documents the efforts of the Native Hawaiian and Pacific Islander COVID-19 Response, Recovery, and Resilience Team, a partnership of academic, government, and community organizations. Their goal was to analyze the utilization, public reporting, and quality of race and ethnicity health data to inform policy changes and promote equity. Through this partnership, the group created solutions for issues such as aggregation of Native Hawaiians and Pacific Islanders in health data, how data is reported through the health department, and discussions with testing labs and health institutions to create more standardized race and ethnicity data.
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.