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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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Peer Review Study
This article examines growth rates of confirmed COVID-19 cases and mortalities over a 30-day period of the COVID-19 outbreak for each of the 100 largest U.S. cities to determine how racial residential segregation and income inequality contributed to health disparities during the COVID-19 pandemic. The data shows the growth curve for cases and mortality rates increases significantly in metropolitan areas where Black and Hispanic people are residentially segregated from White people. The article offers policy implications for making virus-resilient cities that are also health equitable.
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 COVID-19 U.S. State Policy (CUSP) database documents the dates all 50 states and the District of Columbia implemented health and social policies to respond to the COVID-19 pandemic and its economic ramifications. CUSP is designed to be a tool for researchers, policymakers, the media, and the public to better understand how policies impact population health and health equity. The CUSP team tracks when and how states implemented over 200 policies during the COVID-19 pandemic and includes original source documentation.
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 examines the relationships between neighborhood police stop-and-frisk encounters and both health outcomes and violence rates in New Orleans, in an ecological, cross-sectional study using local police report data, Centers for Disease Control and Prevention data, and US Census data.