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Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria.

Publication ,  Journal Article
Watson, OJ; Alhaffar, M; Mehchy, Z; Whittaker, C; Akil, Z; Brazeau, NF; Cuomo-Dannenburg, G; Hamlet, A; Thompson, HA; Baguelin, M; FitzJohn, RG ...
Published in: Nature communications
April 2021

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.

Duke Scholars

Published In

Nature communications

DOI

EISSN

2041-1723

ISSN

2041-1723

Publication Date

April 2021

Volume

12

Issue

1

Start / End Page

2394

Related Subject Headings

  • Syria
  • Survival Rate
  • SARS-CoV-2
  • Population Surveillance
  • Pandemics
  • Mortality
  • Humans
  • COVID-19
 

Citation

APA
Chicago
ICMJE
MLA
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Watson, O. J., Alhaffar, M., Mehchy, Z., Whittaker, C., Akil, Z., Brazeau, N. F., … Walker, P. (2021). Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria. Nature Communications, 12(1), 2394. https://doi.org/10.1038/s41467-021-22474-9
Watson, Oliver J., Mervat Alhaffar, Zaki Mehchy, Charles Whittaker, Zack Akil, Nicholas F. Brazeau, Gina Cuomo-Dannenburg, et al. “Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria.Nature Communications 12, no. 1 (April 2021): 2394. https://doi.org/10.1038/s41467-021-22474-9.
Watson OJ, Alhaffar M, Mehchy Z, Whittaker C, Akil Z, Brazeau NF, et al. Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria. Nature communications. 2021 Apr;12(1):2394.
Watson, Oliver J., et al. “Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria.Nature Communications, vol. 12, no. 1, Apr. 2021, p. 2394. Epmc, doi:10.1038/s41467-021-22474-9.
Watson OJ, Alhaffar M, Mehchy Z, Whittaker C, Akil Z, Brazeau NF, Cuomo-Dannenburg G, Hamlet A, Thompson HA, Baguelin M, FitzJohn RG, Knock E, Lees JA, Whittles LK, Mellan T, Winskill P, Imperial College COVID-19 Response Team, Howard N, Clapham H, Checchi F, Ferguson N, Ghani A, Beals E, Walker P. Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria. Nature communications. 2021 Apr;12(1):2394.

Published In

Nature communications

DOI

EISSN

2041-1723

ISSN

2041-1723

Publication Date

April 2021

Volume

12

Issue

1

Start / End Page

2394

Related Subject Headings

  • Syria
  • Survival Rate
  • SARS-CoV-2
  • Population Surveillance
  • Pandemics
  • Mortality
  • Humans
  • COVID-19