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Estimating the early death toll of COVID-19 in the United States.
Weinberger, Daniel M; Cohen, Ted; Crawford, Forrest W; Mostashari, Farzad; Olson, Don; Pitzer, Virginia E; Reich, Nicholas G; Russi, Marcus; Simonsen, Lone; Watkins, Anne; Viboud, Cecile.
Afiliação
  • Weinberger DM; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT.
  • Cohen T; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT.
  • Crawford FW; Department of Biostatistics and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT; Yale Departments of Ecology and Evolutionary Biology, Statistics & Data Science, Yale School of Management.
  • Mostashari F; Aledade, Inc.
  • Olson D; Department of Health and Mental Hygiene, New York City, NY.
  • Pitzer VE; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT.
  • Reich NG; Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts, Amherst, MA.
  • Russi M; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT.
  • Simonsen L; Department of Science and Environment, Roskilde University, Denmark.
  • Watkins A; Department of Epidemiology of Microbial Diseases and the Public Health Modeling Unit, Yale School of Public Health, New Haven, CT.
  • Viboud C; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD.
medRxiv ; 2020 Apr 29.
Article em En | MEDLINE | ID: mdl-32511293
BACKGROUND: Efforts to track the severity and public health impact of the novel coronavirus, COVID-19, in the US have been hampered by testing issues, reporting lags, and inconsistency between states. Evaluating unexplained increases in deaths attributed to broad outcomes, such as pneumonia and influenza (P&I) or all causes, can provide a more complete and consistent picture of the burden caused by COVID-19. METHODS: We evaluated increases in the occurrence of deaths due to P&I above a seasonal baseline (adjusted for influenza activity) or due to any cause across the United States in February and March 2020. These estimates are compared with reported deaths due to COVID-19 and with testing data. RESULTS: There were notable increases in the rate of death due to P&I in February and March 2020. In a number of states, these deaths pre-dated increases in COVID-19 testing rates and were not counted in official records as related to COVID-19. There was substantial variability between states in the discrepancy between reported rates of death due to COVID-19 and the estimated burden of excess deaths due to P&I. The increase in all-cause deaths in New York and New Jersey is 1.5-3 times higher than the official tally of COVID-19 confirmed deaths or the estimated excess death due to P&I. CONCLUSIONS: Excess P&I deaths provide a conservative estimate of COVID-19 burden and indicate that COVID-19-related deaths are missed in locations with inadequate testing or intense pandemic activity.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2020 Tipo de documento: Article