Michael A. Stoto is with Georgetown University, Washington, DC, and the Harvard T. H. Chan School of Public Health, Boston, MA. Charles Rothwell is retired and was formerly with the National Center for Health Statistics, Hyattsville, MD. Maureen Lichtveld is with the Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA. Matthew K. Wynia is with the University of Colorado School of Medicine and Colorado School of Public Health, Aurora.
Am J Public Health. 2021 Jul;111(S2):S93-S100. doi: 10.2105/AJPH.2021.306334.
Timely and accurate data on COVID-19 cases and COVID-19‒related deaths are essential for making decisions with significant health, economic, and policy implications. A new report from the National Academies of Sciences, Engineering, and Medicine proposes a uniform national framework for data collection to more accurately quantify disaster-related deaths, injuries, and illnesses. This article describes how following the report's recommendations could help improve the quality and timeliness of public health surveillance data during pandemics, with special attention to addressing gaps in the data necessary to understand pandemic-related health disparities.
及时、准确的 COVID-19 病例和 COVID-19 相关死亡数据对于做出具有重大健康、经济和政策意义的决策至关重要。美国国家科学院、工程院和医学院的一份新报告提出了一个统一的国家数据收集框架，以更准确地量化灾害相关死亡、伤害和疾病。本文描述了如何遵循报告的建议，有助于在大流行期间提高公共卫生监测数据的质量和及时性，特别关注解决理解大流行相关健康差距所需数据中的差距。
