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

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

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