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

Oliver J Watson ORCID logo; Mervat Alhaffar ORCID logo; Zaki Mehchy; Charles Whittaker ORCID logo; Zack Akil; Nicholas F Brazeau ORCID logo; Gina Cuomo-Dannenburg ORCID logo; Arran Hamlet ORCID logo; Hayley A Thompson; Marc Baguelin ORCID logo; +14 more... Richard G FitzJohn; Edward Knock; John A Lees ORCID logo; Lilith K Whittles; Thomas Mellan; Peter Winskill ORCID logo; Imperial College COVID-19 Response Team; Natasha Howard ORCID logo; Hannah Clapham ORCID logo; Francesco Checchi ORCID logo; Neil Ferguson ORCID logo; Azra Ghani; Emma Beals; Patrick Walker; (2021) Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria. Nature communications, 12 (1). 2394-. ISSN 2041-1723 DOI: 10.1038/s41467-021-22474-9
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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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