Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria
Reported COVID-19 mortality rates have been relatively low in Syria, but there has been concern about overwhelmed health systems. Here, the authors use community mortality indicators and estimate that <3% of COVID-19 deaths in Damascus were reported as of 2 September 2020.
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Nature Portfolio
2021
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oai:doaj.org-article:d38584387183491087e55021781efb7e2021-12-02T13:44:13ZLeveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria10.1038/s41467-021-22474-92041-1723https://doaj.org/article/d38584387183491087e55021781efb7e2021-04-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22474-9https://doaj.org/toc/2041-1723Reported COVID-19 mortality rates have been relatively low in Syria, but there has been concern about overwhelmed health systems. Here, the authors use community mortality indicators and estimate that <3% of COVID-19 deaths in Damascus were reported as of 2 September 2020.Oliver J. WatsonMervat AlhaffarZaki MehchyCharles WhittakerZack AkilNicholas F. BrazeauGina Cuomo-DannenburgArran HamletHayley A. ThompsonMarc BaguelinRichard G. FitzJohnEdward KnockJohn A. LeesLilith K. WhittlesThomas MellanPeter WinskillImperial College COVID-19 Response TeamNatasha HowardHannah ClaphamFrancesco ChecchiNeil FergusonAzra GhaniEmma BealsPatrick WalkerNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021) |
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Science Q Oliver J. Watson Mervat Alhaffar Zaki Mehchy Charles Whittaker Zack Akil Nicholas F. Brazeau Gina Cuomo-Dannenburg Arran Hamlet Hayley A. Thompson Marc Baguelin Richard G. FitzJohn Edward Knock John A. Lees Lilith K. Whittles Thomas Mellan Peter Winskill Imperial College COVID-19 Response Team Natasha Howard Hannah Clapham Francesco Checchi Neil Ferguson Azra Ghani Emma Beals Patrick Walker Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria |
description |
Reported COVID-19 mortality rates have been relatively low in Syria, but there has been concern about overwhelmed health systems. Here, the authors use community mortality indicators and estimate that <3% of COVID-19 deaths in Damascus were reported as of 2 September 2020. |
format |
article |
author |
Oliver J. Watson Mervat Alhaffar Zaki Mehchy Charles Whittaker Zack Akil Nicholas F. Brazeau Gina Cuomo-Dannenburg Arran Hamlet Hayley A. Thompson Marc Baguelin Richard G. FitzJohn Edward Knock John A. Lees Lilith K. Whittles Thomas Mellan Peter Winskill Imperial College COVID-19 Response Team Natasha Howard Hannah Clapham Francesco Checchi Neil Ferguson Azra Ghani Emma Beals Patrick Walker |
author_facet |
Oliver J. Watson Mervat Alhaffar Zaki Mehchy Charles Whittaker Zack Akil Nicholas F. Brazeau Gina Cuomo-Dannenburg Arran Hamlet Hayley A. Thompson Marc Baguelin Richard G. FitzJohn Edward Knock John A. Lees Lilith K. Whittles Thomas Mellan Peter Winskill Imperial College COVID-19 Response Team Natasha Howard Hannah Clapham Francesco Checchi Neil Ferguson Azra Ghani Emma Beals Patrick Walker |
author_sort |
Oliver J. Watson |
title |
Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria |
title_short |
Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria |
title_full |
Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria |
title_fullStr |
Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria |
title_full_unstemmed |
Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria |
title_sort |
leveraging community mortality indicators to infer covid-19 mortality and transmission dynamics in damascus, syria |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/d38584387183491087e55021781efb7e |
work_keys_str_mv |
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