Lessons Learned From Miami-Dade County's COVID-19 Epidemic: Making Surveillance Data Accessible for Policy Makers.
Lessons Learned From Miami-Dade County's COVID-19 Epidemic: Making Surveillance Data Accessible for Policy Makers.
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DOI：
10.1097/phh.0000000000001364
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发表时间：
2021-05-01
期刊：
影响因子：
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通讯作者：
Odom GJ
中科院分区：
文献类型：
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作者：
Williams R;Bursac Z;Trepka MJ;Odom GJ
无论是政策制定者，还是受托采集、监控和分析新冠肺炎数据的人，新浪新冠肺炎都面临着前所未有的挑战。有效的公共政策是数据知情的政策。这需要公共卫生科学家和公共官员之间的联系。这篇文章详细介绍了2020年3月至10月在大都市地区为公职人员提供建议的经验、挑战和教训。为了有效地做到这一点，我们创建了R Markdown报告，以迭代地监控执行的新冠肺炎测试次数、获得的阳性测试、新冠肺炎住院普查、重症监护病房普查、使用呼吸机的新冠肺炎患者数量以及因新冠肺炎而死亡的人数。这些报告在与政策制定者的会议上提交和讨论，以进一步理解。为了促进公众和政策制定者的充分理解，我们倡导更多地集中公共卫生监测数据，客观地对指标进行操作定义，并加强机构间的沟通，以最好地指导和告知政策制定者。通过一致的数据报告方法、节俭和一致的分析方法、与政策制定者的清晰沟通、透明度以及驾驭“数据转储”和报告延迟等不可预见的外部因素的能力，科学家可以利用信息在危机时期为政策制定者提供最佳支持。
COVID-19 represents an unprecedented challenge to policy makers as well as those entrusted with capturing, monitoring, and analyzing COVID-19 data. Effective public policy is data-informed policy. This requires a liaison between public health scientists and public officials. This article details the experience, challenges, and lessons learned advising public officials in a large metropolitan area from March to October 2020. To effectively do this, an R Markdown report was created to iteratively monitor the number of COVID-19 tests performed, positive tests obtained, COVID-19 hospitalization census, intensive care unit census, the number of patients with COVID-19 on ventilators, and the number of deaths due to COVID-19. These reports were presented and discussed at meetings with policy makers to further comprehension. To facilitate the fullest understanding by both the general public and policy makers alike, we advocate for greater centralization of public health surveillance data, objective operational definitions of metrics, and greater interagency communication to best guide and inform policy makers. Through consistent data reporting methods, parsimonious and consistent analytic methods, a clear line of communication with policy makers, transparency, and the ability to navigate unforeseen externalities such as “data dumps” and reporting delays, scientists can use information to best support policy makers in times of crises.