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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.
RELEASE DATE:
Peer Review Study
This study compares data from the NYC coronavirus data repository with 2018 American Community Survey 5-year census estimates to examine the distribution of testing sites across New York City by race in May 2020. During this time, the results found that testing sites for primarily Black and Latinx communities increased, but primarily White areas still had the highest number of testing sites. The study team created ZIP-code level maps showing testing site distribution using ArcGIS as a part of this study.
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:
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.
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:
Peer Review Study
The authors analyzed prevalence testing data provided by the New York City Department of Health and Mental Hygiene and examined this in conjunction with data on the geographic distribution of risk factors for COVID-19 severity in New York City to study if testing was administered effectively and in areas of need. The objectives of this analysis were: (1) to determine changes in the distribution of COVID-19 tests, COVID-19 positive tests, the proportion of the cumulative COVID-19 tests performed relative to the total ZIP Code Tabulation Area (ZCTA) population, as well as the proportion of positive and total tests according to ZCTA over time, and (2) to determine if testing and positive testing was associated with the presence of COVID-19 risk factors according to ZCTA, and if this association changed over time.