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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 discusses incorporating geographic information science and technology (GIS&T) into COVID-19 pandemic surveillance, modeling, and response. Applications include: 1) developing spatial data infrastructures for surveillance and data-sharing; 2) incorporating mobility data in infectious disease forecasting; 3) using geospatial technologies for digital contact tracing; 4) integrating geographic data into COVID-19 modeling; 5) investigating geographic social vulnerabilities and disparities; and 6) communicating the status of the disease or status of facilities for return-to-normal operations.
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, Systematic Review/Meta-Analysis
This report discusses a scoping review conducted to identify social determinants of health (SDOH) that are risk factors for, or associated with outcomes of, COVID-19, and to understand the definitions, characteristics, and measures of SDOH data elements as they were used in studies analyzing statistical associations with the risk for COVID-19 infection and COVID-19-related outcomes in the United States. The granular evidence provided by the scoping review findings calls for the standardization of SDOH data across health care, public health, and research.
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 recommends that the National Institutes of Health (NIH) adopt new practices for collecting data on sex, gender, and sexual orientation — including collecting gender data by default, and not conflating gender with sex as a biological variable. The report recommends standardized language to be used in survey questions that ask about a respondent’s sex, gender identity, and sexual orientation. Better measurements will improve data quality, as well as the NIH’s ability to identify LGBTQI+ populations and understand the challenges they face.
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.
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Summary Report/Recommendations
This paper highlights several successful state initiatives that policymakers may consider adopting to improve routine HPV vaccination rates among adolescents and provide catch-up vaccinations to the estimated one million adolescents who are now behind due to challenges created 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:
Summary Report/Recommendations
This article discusses use of digital contract tracing applications in France during the COVID-19 pandemic. While these apps have been created to help mitigate spread of COVID-19 by offering health advice on isolation and testing, they are not being used by the majority of the population. In May 2020, the COVID-19 Control and Society Connection Council (CLL) was established to issue advice and guidance on the national epidemic digital systems. This paper illustrates the recommendations by this committee for the improvement of these applications.
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:
Summary Report/Recommendations
This study uses data from the COVID Tracking Project’s Racial Data Tracker, which aggregates state-level COVID-19 reporting and tracking databases to determine racial/ethnic trends of COVID-19 incidence and evaluate the racial/ethnic distribution of COVID-19 related mortality in the US. Results found that disparities are more apparent at the county and city level, and discusses the importance of transparent, local data in order to allow for greater precision in resource allocation and effective policy changes aimed at reducing disparities. The study includes choropleth maps of the results by state.
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 commentary discusses the various ways health information technology can address socioeconomic disparities as healthcare costs increase in the United States. The article addresses individual- and population-level approaches to improve the use of health information technology.
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
Researchers, journalists, public health officials, and policymakers can take a few important steps to address insufficient contextualization when documenting COVID-19 racial disparities, especially in the public sphere. This article reviews those steps and ways to contextualize COVID-19 racial disparities data with adequate analysis. Disparity figures without explanatory context can perpetuate harmful myths and misunderstandings that actually undermine the goal of eliminating health inequities.
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 National Council of Asian Pacific Islander Physicians provides an analysis about the comprehensive collection and reporting of patient demographic data related to COVID-19 testing and treatment. The report makes six recommendations focused on reporting race and ethnicity data.
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 paper explores ways to mitigate potential sources of bias and inequity in big data by designing algorithmic decision-making approaches that explicitly account and correct for these biases for minority groups. It proposes a multifaceted interdisciplinary approach to using big data analytics in health care that combines insights from data scientists and domain experts.