1. A National Framework to Improve Mortality, Morbidity, and Disparities Data for COVID-19 and Other Large-Scale Disasters
- Author
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Maureen Lichtveld, Michael A. Stoto, Matthew K Wynia, and Charles Rothwell
- Subjects
Coronavirus disease 2019 (COVID-19) ,media_common.quotation_subject ,MEDLINE ,Disaster Planning ,01 natural sciences ,Disease Outbreaks ,Disasters ,03 medical and health sciences ,0302 clinical medicine ,Public health surveillance ,Pandemic ,Electronic Health Records ,Humans ,Quality (business) ,030212 general & internal medicine ,0101 mathematics ,media_common ,Research & Analysis ,Actuarial science ,Data collection ,010102 general mathematics ,Public Health, Environmental and Occupational Health ,COVID-19 ,Health equity ,Population Surveillance ,Scale (social sciences) ,Communicable Disease Control ,Business - 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.
- Published
- 2021
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