Galaitsi S E, Cegan Jeffrey C, Volk Kaitlin, Joyner Matthew, Trump Benjamin D, Linkov Igor
U.S. Army Corps of Engineers, Vicksburg, MS, United States.
Int J Inf Manage. 2021 Aug;59:102352. doi: 10.1016/j.ijinfomgt.2021.102352. Epub 2021 Apr 2.
During the coronavirus pandemic, policy makers need to interpret available public health data to make decisions affecting public health. However, the United States' coronavirus response faced data gaps, inadequate and inconsistent definitions of data across different governmental jurisdictions, ambiguous timing in reporting, problems in accessing data, and changing interpretations from scientific institutions. These present numerous problems for the decision makers relying on this information. This paper documents some of the data pitfalls in coronavirus public health data reporting, as identified by the authors in the course of supporting data management for New England's coronavirus response. We provide recommendations for individuals to collect data more effectively during emergency situations such as a COVID-19 surge, as well as recommendations for institutions to provide more meaningful data for various users to access. Through this, we hope to motivate action to avoid data pitfalls during public health responses in the future.
在新冠疫情期间,政策制定者需要解读现有的公共卫生数据,以便做出影响公众健康的决策。然而,美国应对新冠疫情时面临数据缺口、不同政府辖区数据定义不充分且不一致、报告时间不明确、获取数据存在问题以及科研机构的解读不断变化等情况。这些给依赖此类信息的决策者带来了诸多问题。本文记录了作者在为新英格兰地区应对新冠疫情提供数据管理支持过程中所发现的新冠疫情公共卫生数据报告中的一些数据陷阱。我们为个人在诸如新冠疫情激增等紧急情况下更有效地收集数据提供建议,同时也为机构向各类用户提供更有意义的数据以供访问提供建议。通过这样做,我们希望推动采取行动,避免未来在公共卫生应对过程中出现数据陷阱。