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Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria.
Watson, Oliver J; Alhaffar, Mervat; Mehchy, Zaki; Whittaker, Charles; Akil, Zack; Brazeau, Nicholas F; Cuomo-Dannenburg, Gina; Hamlet, Arran; Thompson, Hayley A; Baguelin, Marc; FitzJohn, Richard G; Knock, Edward; Lees, John A; Whittles, Lilith K; Mellan, Thomas; Winskill, Peter; Howard, Natasha; Clapham, Hannah; Checchi, Francesco; Ferguson, Neil; Ghani, Azra; Beals, Emma; Walker, Patrick.
Afiliação
  • Watson OJ; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK. o.watson15@imperial.ac.uk.
  • Alhaffar M; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
  • Mehchy Z; Syria Team, Conflict Research Programme, London Schools of Economics, London, UK.
  • Whittaker C; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Akil Z; Google Cloud Developer Advocacy, Google, London, UK.
  • Brazeau NF; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Cuomo-Dannenburg G; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Hamlet A; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Thompson HA; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Baguelin M; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • FitzJohn RG; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
  • Knock E; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Lees JA; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Whittles LK; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Mellan T; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Winskill P; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Clapham H; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
  • Checchi F; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
  • Ferguson N; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
  • Ghani A; Department of Infectious Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene and Tropical Medicine, London, UK.
  • Beals E; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
  • Walker P; MRC Centre for Global Infectious Disease Analysis, Jameel Institute for Disease and Emergency Analytics, Imperial College London, London, UK.
Nat Commun ; 12(1): 2394, 2021 04 22.
Article em En | MEDLINE | ID: mdl-33888698
ABSTRACT
The COVID-19 pandemic has resulted in substantial mortality worldwide. However, to date, countries in the Middle East and Africa have reported considerably lower mortality rates than in Europe and the Americas. Motivated by reports of an overwhelmed health system, we estimate the likely under-ascertainment of COVID-19 mortality in Damascus, Syria. Using all-cause mortality data, we fit a mathematical model of COVID-19 transmission to reported mortality, estimating that 1.25% of COVID-19 deaths (sensitivity range 1.00% - 3.00%) have been reported as of 2 September 2020. By 2 September, we estimate that 4,380 (95% CI 3,250 - 5,550) COVID-19 deaths in Damascus may have been missed, with 39.0% (95% CI 32.5% - 45.0%) of the population in Damascus estimated to have been infected. Accounting for under-ascertainment corroborates reports of exceeded hospital bed capacity and is validated by community-uploaded obituary notifications, which confirm extensive unreported mortality in Damascus.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mortalidade / SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Mortalidade / SARS-CoV-2 / COVID-19 Tipo de estudo: Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Reino Unido