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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.
  • 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 in English | MEDLINE | ID: covidwho-1199294
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.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mortality / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2021 Document Type: Article Affiliation country: S41467-021-22474-9

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Mortality / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Country/Region as subject: Asia Language: English Journal: Nat Commun Journal subject: Biology / Science Year: 2021 Document Type: Article Affiliation country: S41467-021-22474-9