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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258452/ https://www.ncbi.nlm.nih.gov/pubmed/35709356 http://dx.doi.org/10.5888/pcd19.210459 |
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author | Greenlund, Kurt J. Lu, Hua Wang, Yan Matthews, Kevin A. LeClercq, Jennifer M. Lee, Benjamin Carlson, Susan A. |
author_facet | Greenlund, Kurt J. Lu, Hua Wang, Yan Matthews, Kevin A. LeClercq, Jennifer M. Lee, Benjamin Carlson, Susan A. |
author_sort | Greenlund, Kurt J. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9258452 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-92584522022-07-18 PLACES: Local Data for Better Health Greenlund, Kurt J. Lu, Hua Wang, Yan Matthews, Kevin A. LeClercq, Jennifer M. Lee, Benjamin Carlson, Susan A. Prev Chronic Dis Tools for Public Health Practice 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. Centers for Disease Control and Prevention 2022-06-16 /pmc/articles/PMC9258452/ /pubmed/35709356 http://dx.doi.org/10.5888/pcd19.210459 Text en https://creativecommons.org/licenses/by/4.0/Preventing Chronic Disease is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Tools for Public Health Practice Greenlund, Kurt J. Lu, Hua Wang, Yan Matthews, Kevin A. LeClercq, Jennifer M. Lee, Benjamin Carlson, Susan A. PLACES: Local Data for Better Health |
title | PLACES: Local Data for Better Health |
title_full | PLACES: Local Data for Better Health |
title_fullStr | PLACES: Local Data for Better Health |
title_full_unstemmed | PLACES: Local Data for Better Health |
title_short | PLACES: Local Data for Better Health |
title_sort | places: local data for better health |
topic | Tools for Public Health Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9258452/ https://www.ncbi.nlm.nih.gov/pubmed/35709356 http://dx.doi.org/10.5888/pcd19.210459 |
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