Reconstructing the global dynamics of unreported COVID-19 cases and infections

Russell, TWORCID logo; Golding, N; Hellewell, JORCID logo; Abbott, SORCID logo; Pearson, CABORCID logo; Van zandvoort, KORCID logo; Jarvis, CIORCID logo; Gibbs, HORCID logo; Liu, YORCID logo; Eggo, RMORCID logo; Edmunds, WJORCID logo; Kucharski, AJORCID logo and CMMID COVID-19 working group (2020). Reconstructing the global dynamics of unreported COVID-19 cases and infections. [Dataset]. Github. https://github.com/thimotei/covid_underreporting
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Using reported data on COVID-19 cases and fatalities globally, we estimated the proportion of symptomatic cases that were reported in 210 countries and territories. We then use these estimates to attempt to reconstruct the pandemic. The repo contains all the functions and scripts required to reproduce the results of (this paper) [https://cmmid.github.io/topics/covid19/Under-Reporting.html]. Specifically, the functions and scripts in this repo are for: downloading the required data from the ECDC here importing the estimates from the bayesian inference model which forms the basis for the paper, the code and estimates for which can be found here combining the data and estimates to adjust the case curves producing all figures in the manuscript

Alternative Title

thimotei/covid_underreporting

Keywords

Case ascertainment; COVID-19; SARS-CoV-2; Surveillance; Under-reporting; Situational awareness; Outbreak analysis; Coronavirus

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