PLACES: Local Data for Better Health.
PLACES: Local Data for Better Health.
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DOI：
10.5888/pcd19.210459
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发表时间：
2022-06-16
影响因子：
5.5
通讯作者：
Jm, LeClercq
中科院分区：
文献类型：
--
作者：
Greenlund, Kurt J.;Lu, Hua;Wang, Yan;Matthews, Kevin A.;LeClercq, Jennifer M.;Lee, Benjamin;Carlson, Susan A.;Jm, LeClercq
地方一级的人口健康数据对于提供信息和推动采取切实有效的行动以改善健康状况十分重要，但收集此类数据的成本往往很高，因此十分稀少。人口水平分析和社区评估（PLACES）（www.cdc.gov/places/）是疾病控制和预防中心（CDC），罗伯特·伍德约翰逊基金会和CDC基金会之间的合作，为所有县和大多数合并和人口普查指定的地方，人口普查区和邮政编码制表区的29项措施提供了基于模型的估计。PLACES使当地卫生部门和其他部门能够更好地了解其地区慢性病相关结果的负担和地理分布，而无论人口规模和城乡状况如何，并协助他们规划公共卫生干预措施。在线资源允许用户直观地探索地理上的健康估计，比较估计，并下载数据以供进一步使用和探索。通过了解PLACES的整体方法并使用易于使用的PLACES应用程序，从业者，政策制定者和其他人可以加强他们改善公共卫生的努力，包括为预防活动，计划和政策提供信息;确定优先健康风险行为以采取行动;优先投资于差距最大或不公平的地区;并建立关键健康目标以实现社区健康和健康公平。
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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DOI：
10.15585/mmwr.mm6707a1
发表时间：
2018-02-23
期刊：
MMWR. Morbidity and mortality weekly report
影响因子：
--
作者：
Croft JB;Wheaton AG;Liu Y;Xu F;Lu H;Matthews KA;Cunningham TJ;Wang Y;Holt JB
通讯作者：
Holt JB
影响因子：
12.7
作者：
Kong, Amanda Y.;Zhang, Xingyou
通讯作者：
Zhang, Xingyou
影响因子：
5.1
作者：
Li, Chaoyang;Balluz, Lina S.;Pierannunzi, Carol
通讯作者：
Pierannunzi, Carol
DOI：
10.1158/1055-9965.epi-17-0488
发表时间：
2018-03
期刊：
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology
影响因子：
--
作者：
Berkowitz Z;Zhang X;Richards TB;Nadel M;Peipins LA;Holt J
通讯作者：
Holt J
影响因子：
3.8
作者：
Berkowitz, Zahava;Zhang, Xingyou;White, Mary C.
通讯作者：
White, Mary C.