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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 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.
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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
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.
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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Data Collection Tool
Surgo Ventures created the COVID-19 Community Vulnerability Index to leverage the power of data to understand how and why communities are vulnerable. It also created the Precision for COVID Data Explorer, a tool used to examine how vulnerable communities have been impacted by COVID-19 and how equitable the response has been.
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:
Data Collection Tool
This dashboard provides an initial look into how to quantify the level of vulnerability within an area (as defined by ZIP code, ZCTA). Interacting with the data at this level allows local decision makers to understand the vulnerability of their populations, as well as the vulnerability of neighboring regions.
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:
Data Collection Tool
The COVID Racial Data Tracker is a collaboration between the COVID Tracking Project and the Boston University Center for Antiracist Research. The tracker is a collection of race and ethnicity data on COVID-19 in the United States.
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:
Data Collection Tool
This interactive, county-level map captures COVID-19 cases, hospitalizations, and deaths by tribe in Oklahoma.