ABSTRACT

Report 31: Estimating the Burden of COVID-19 in Damascus, Syria: An Analysis of Novel Data Sources to Infer Mortality Under-Ascertainment   [open pdf - 3MB]

From the Summary: "The COVID-19 [coronavirus disease 2019] pandemic has resulted in substantial mortality worldwide. However, to date, countries in the Middle East and Africa have reported substantially lower mortality rates than in Europe and the Americas. One hypothesis is that these countries have been 'spared', but another is that deaths have been under-ascertained (deaths that have been unreported due to any number of reasons, for instance due to limited testing capacity). However, the scale of under-ascertainment is difficult to assess with currently available data. In this analysis, we estimate the potential under-ascertainment of COVID-19 mortality in Damascus, Syria, where all-cause mortality data has been reported between 25th July and 1st August. We fit a mathematical model of COVID-19 transmission to reported COVID-19 deaths in Damascus since the beginning of the pandemic and compare the model-predicted deaths to reported excess deaths. Exploring a range of different assumptions about under-ascertainment, we estimate that only 1.25% of deaths (sensitivity range 1% - 3%) due to COVID-19 are reported in Damascus. Accounting for under-ascertainment also corroborates local reports of exceeded hospital bed capacity."

Report Number:
Report No. 31
Author:
Publisher:
Date:
2020-09-15
Series:
Copyright:
Imperial College London. Posted here with permission. Document is under a Creative Commons license and requires proper attribution and noncommercial use to be shared: [https://creativecommons.org/licenses/by-nc-nd/4.0/]
Retrieved From:
Imperial College London: https://www.imperial.ac.uk/
Format:
pdf
Media Type:
application/pdf
URL:
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