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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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Toolkit
The Health Equity Assessment Toolkit (HEAT) is a software application that facilitates the assessment of within-country health inequalities. It was developed for use on desktop or laptop computers and mobile devices. Explore inequality, which enables users to explore the situation in one setting of interest (e.g. a country, province or district) to determine the latest situation of inequality and the change in inequalities over time. Compare inequality, which enables users to benchmark, i.e. compare the situation in one setting of interest with the situation in other settings.
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:
Toolkit
The purpose of the project is to offer clear concepts, methods, data, and programming code to improve monitoring of, as well as actions to address health inequities, accomplished by using geocoding to link area-based social metrics to public health 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.
RELEASE DATE:
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.
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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.
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
This blueprint presents recommendations for Illinois to reduce health disparities in rural areas. Recommendations include (1) investing in programs to recruit and retain rural health care workers; (2) improving rural data systems; (3) integrating health care and social services in rural areas; (4) increasing communication between rural health organizations and public health departments; and (5) creating a rural innovation center to coordinate data, policies, and strategies across state agencies.
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 COVID-19 case, death, and vaccination data for patients who have been tested or treated at Department of Veterans Affairs (VA) facilities. The data can be used for data collection and analysis.
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
The Coronavirus Disease 2019 (COVID-19)-Associated Hospitalization Surveillance Network (COVID-NET) conducts population-based surveillance for laboratory-confirmed COVID-19-associated hospitalizations in children (less than 18 years of age) and adults. The data can be used for data collection and analysis and is available by race, age, and sex. COVID-NET covers nearly 100 counties in the 10 Emerging Infections Program states (CA, CO, CT, GA, MD, MN, NM, NY, OR, TN) and four Influenza Hospitalization Surveillance Project states (IA, MI, OH, and UT).
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 case surveillance public use dataset can be used for data collection and analysis. The dataset includes 12 elements for all COVID-19 cases shared with the Centers for Disease Prevention and Control and includes demographics, any exposure history, disease severity indicators and outcomes, presence of any underlying medical conditions and risk behaviors, and no geographic data.