测试和保护计划:数据驱动、社区参与的 COVID-19 测试地点定位方法。

IF 2.2 4区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH Journal of Public Health Management and Practice Pub Date : 2024-09-24 DOI:10.1097/PHH.0000000000001993
Andrew F Beck, Tiffany Mattingly, Cole Brokamp, Rashmi Sahay, Erika R Manning, Stuart Taylor, Pierce Kuhnell, Brian Kegley, Kiana Trabue, Peter A Margolis, Robert S Kahn, David M Hartley
{"title":"测试和保护计划:数据驱动、社区参与的 COVID-19 测试地点定位方法。","authors":"Andrew F Beck, Tiffany Mattingly, Cole Brokamp, Rashmi Sahay, Erika R Manning, Stuart Taylor, Pierce Kuhnell, Brian Kegley, Kiana Trabue, Peter A Margolis, Robert S Kahn, David M Hartley","doi":"10.1097/PHH.0000000000001993","DOIUrl":null,"url":null,"abstract":"<p><p>As the COVID-19 pandemic progressed, reliable, accessible, and equitable community-based testing strategies were sought that did not flood already overburdened hospitals and emergency departments. In Hamilton County, Ohio, home to ~800 000 people across urban, suburban, and rural areas, we sought to develop and optimize an accessible, equitable county-wide COVID-19 testing program. Using Coronavirus Aid, Relief, and Economic Security Act funding, multidisciplinary, multiorganization partners created the test and protect program to deliver safe, reliable testing in neighborhoods and organizations needing it most. Our approach involved: (1) use of geospatial analytics to identify testing locations positioned to optimize access; (2) community engagement to ensure sites were in trusted places; and (3) tracking of data over time to facilitate ongoing improvement. Between August 2020 and December 2021, more than 65 000 tests were completed for nearly 46 000 individuals at community-based testing sites. These methods could have application beyond COVID-19 and our region.</p>","PeriodicalId":47855,"journal":{"name":"Journal of Public Health Management and Practice","volume":" ","pages":""},"PeriodicalIF":2.2000,"publicationDate":"2024-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Test and Protect Program: A Data-Driven, Community-Engaged Approach to COVID-19 Testing Site Localization.\",\"authors\":\"Andrew F Beck, Tiffany Mattingly, Cole Brokamp, Rashmi Sahay, Erika R Manning, Stuart Taylor, Pierce Kuhnell, Brian Kegley, Kiana Trabue, Peter A Margolis, Robert S Kahn, David M Hartley\",\"doi\":\"10.1097/PHH.0000000000001993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>As the COVID-19 pandemic progressed, reliable, accessible, and equitable community-based testing strategies were sought that did not flood already overburdened hospitals and emergency departments. In Hamilton County, Ohio, home to ~800 000 people across urban, suburban, and rural areas, we sought to develop and optimize an accessible, equitable county-wide COVID-19 testing program. Using Coronavirus Aid, Relief, and Economic Security Act funding, multidisciplinary, multiorganization partners created the test and protect program to deliver safe, reliable testing in neighborhoods and organizations needing it most. Our approach involved: (1) use of geospatial analytics to identify testing locations positioned to optimize access; (2) community engagement to ensure sites were in trusted places; and (3) tracking of data over time to facilitate ongoing improvement. Between August 2020 and December 2021, more than 65 000 tests were completed for nearly 46 000 individuals at community-based testing sites. These methods could have application beyond COVID-19 and our region.</p>\",\"PeriodicalId\":47855,\"journal\":{\"name\":\"Journal of Public Health Management and Practice\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.2000,\"publicationDate\":\"2024-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Public Health Management and Practice\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1097/PHH.0000000000001993\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Public Health Management and Practice","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1097/PHH.0000000000001993","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0

摘要

随着 COVID-19 大流行的发展,人们开始寻求可靠、方便和公平的社区检测策略,以避免已经不堪重负的医院和急诊科被淹没。俄亥俄州汉密尔顿县(Hamilton County)拥有约 80 万人口,遍布城市、郊区和农村地区。利用《冠状病毒援助、救济和经济安全法案》(Coronavirus Aid, Relief, and Economic Security Act)的资金,多学科、多组织合作伙伴创建了检测和保护计划,为最需要的社区和组织提供安全可靠的检测。我们的方法包括:(1) 使用地理空间分析来确定检测地点,以优化访问;(2) 社区参与,以确保检测点位于值得信赖的地方;(3) 随着时间的推移跟踪数据,以促进持续改进。2020 年 8 月至 2021 年 12 月期间,社区检测点为近 46000 人完成了 65000 多项检测。这些方法的应用范围可能超出 COVID-19 和我们所在的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
The Test and Protect Program: A Data-Driven, Community-Engaged Approach to COVID-19 Testing Site Localization.

As the COVID-19 pandemic progressed, reliable, accessible, and equitable community-based testing strategies were sought that did not flood already overburdened hospitals and emergency departments. In Hamilton County, Ohio, home to ~800 000 people across urban, suburban, and rural areas, we sought to develop and optimize an accessible, equitable county-wide COVID-19 testing program. Using Coronavirus Aid, Relief, and Economic Security Act funding, multidisciplinary, multiorganization partners created the test and protect program to deliver safe, reliable testing in neighborhoods and organizations needing it most. Our approach involved: (1) use of geospatial analytics to identify testing locations positioned to optimize access; (2) community engagement to ensure sites were in trusted places; and (3) tracking of data over time to facilitate ongoing improvement. Between August 2020 and December 2021, more than 65 000 tests were completed for nearly 46 000 individuals at community-based testing sites. These methods could have application beyond COVID-19 and our region.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Public Health Management and Practice
Journal of Public Health Management and Practice PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
3.40
自引率
9.10%
发文量
287
期刊介绍: Journal of Public Health Management and Practice publishes articles which focus on evidence based public health practice and research. The journal is a bi-monthly peer-reviewed publication guided by a multidisciplinary editorial board of administrators, practitioners and scientists. Journal of Public Health Management and Practice publishes in a wide range of population health topics including research to practice; emergency preparedness; bioterrorism; infectious disease surveillance; environmental health; community health assessment, chronic disease prevention and health promotion, and academic-practice linkages.
期刊最新文献
Perspectives on Public Health Department Accreditation: Lessons Learned From Ohio's Accreditation Mandate. When Disasters Cross State Borders: Pennsylvania's Public Health Response to the Norfolk Southern Train Derailment in East Palestine, Ohio. Perceptions of Criticality and Frequency of Tasks by the Public Health Workforce, 2022. Real-Time Dashboard for Identifying Overdose Touchpoints in Indiana. Assessing Facility Readiness to Provide Equitable Birthing Care in New York State: A Baseline Survey.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1