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Estimating the early death toll of COVID-19 in the United States
Daniel Weinberger; Ted Cohen; Forrest Crawford; Farzad Mostashari; Don Olson; Virginia E Pitzer; Nicholas G Reich; Marcus Russi; Lone Simonsen; Annie Watkins; Cecile Viboud.
Afiliação
  • Daniel Weinberger; Yale School of Public Health
  • Ted Cohen; Yale School of Public Health
  • Forrest Crawford; Yale School of Public Health
  • Farzad Mostashari; Aledade, Inc
  • Don Olson; Department of Health and Mental Hygiene, New York City, NY
  • Virginia E Pitzer; Yale School of Public Health
  • Nicholas G Reich; Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts
  • Marcus Russi; Yale School of Public Health
  • Lone Simonsen; Department of Science and Environment, Roskilde University, Denmark
  • Annie Watkins; Yale School of Public Health
  • Cecile Viboud; Division of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health
Preprint em Inglês | medRxiv | ID: ppmedrxiv-20066431
ABSTRACT
BackgroundEfforts 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. MethodsWe 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. ResultsThere 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. ConclusionsExcess 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. RESEARCH IN CONTEXTO_ST_ABSEvidence before this studyC_ST_ABSDeaths due to the novel coronavirus, COVID-19, have been increasing sharply in the United States since mid-March. However, efforts to track the severity and public health impact of COIVD-19 in the US have been hampered by testing issues, reporting lags, and inconsistency between states. As a result, the reported number of deaths likely represents an underestimate of the true burden. Added Value of this studyWe evaluate increases in deaths due to pneumonia across the United States and relate these increases to the number of reported deaths due to COVID-19 in different states and evaluate the trajectories of these increases in relation to the volume of testing and to indicators of COVID-19 morbidity. This provides a more complete picture of mortality due to COVID-19 in the US and demonstrates how delays in testing led to many coronavirus deaths not being counted in certain states. Implications of all the available evidenceThe number of deaths reported to be due to COVID-19 represents just a fraction of the deaths linked to the pandemic. Monitoring trends in deaths due to pneumonia and all-causes provides a more complete picture of the tool of the disease.
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Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
Texto completo: Disponível Coleções: Preprints Base de dados: medRxiv Tipo de estudo: Experimental_studies / Estudo prognóstico Idioma: Inglês Ano de publicação: 2020 Tipo de documento: Preprint
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