PLACES: Local Data for Better Health

Local-level data on the health of populations are important to inform and drive effective and efficient actions to improve health, but such data are often expensive to collect and thus rare. Population Level Analysis and Community EStimates (PLACES) (www.cdc.gov/places/), a collaboration between the...

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Veröffentlicht in:Preventing chronic disease 2022-06, Vol.19, p.E31-E31, Article 210459
Hauptverfasser: Greenlund, Kurt J., Lu, Hua, Wang, Yan, Matthews, Kevin A., LeClercq, Jennifer M., Lee, Benjamin, Carlson, Susan A.
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container_end_page E31
container_issue
container_start_page E31
container_title Preventing chronic disease
container_volume 19
creator Greenlund, Kurt J.
Lu, Hua
Wang, Yan
Matthews, Kevin A.
LeClercq, Jennifer M.
Lee, Benjamin
Carlson, Susan A.
description Local-level data on the health of populations are important to inform and drive effective and efficient actions to improve health, but such data are often expensive to collect and thus rare. Population Level Analysis and Community EStimates (PLACES) (www.cdc.gov/places/), a collaboration between the Centers for Disease Control and Prevention (CDC), the Robert Wood Johnson Foundation, and the CDC Foundation, provides model-based estimates for 29 measures among all counties and most incorporated and census-designated places, census tracts, and ZIP Code tabulation areas across the US. PLACES allows local health departments and others to better understand the burden and geographic distribution of chronic disease–related outcomes in their areas regardless of population size and urban–rural status and assists them in planning public health interventions. Online resources allow users to visually explore health estimates geographically, compare estimates, and download data for further use and exploration. By understanding the PLACES overall approach and using the easy-to-use PLACES applications, practitioners, policy makers, and others can enhance their efforts to improve public health, including informing prevention activities, programs, and policies; identifying priority health risk behaviors for action; prioritizing investments to areas with the biggest gaps or inequities; and establishing key health objectives to achieve community health and health equity.
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subjects Adults
Chronic illnesses
COVID-19
Disease control
Disease prevention
Economic indicators
Ethnicity
Health risk assessment
Health risks
Intervention
Monte Carlo simulation
Population
Tools for Public Health Practice
title PLACES: Local Data for Better Health
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