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A National Framework to Improve Mortality, Morbidity, and Disparities Data for COVID-19 and Other Large-Scale Disasters.
Stoto, Michael A; Rothwell, Charles; Lichtveld, Maureen; Wynia, Matthew K.
  • Stoto MA; 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
  • Rothwell C; 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
  • Lichtveld M; 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
  • Wynia MK; 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
Am J Public Health ; 111(S2): S93-S100, 2021 07.
Article in English | MEDLINE | ID: covidwho-1328024
ABSTRACT
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / Disease Outbreaks / Disaster Planning / Disasters / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Am J Public Health Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Population Surveillance / Disease Outbreaks / Disaster Planning / Disasters / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Am J Public Health Year: 2021 Document Type: Article