@article{10.1371/journal.pone.0238410, doi = {10.1371/journal.pone.0238410}, author = {Soubeyrand, Samuel AND Ribaud, Mélina AND Baudrot, Virgile AND Allard, Denis AND Pommeret, Denys AND Roques, Lionel}, journal = {PLOS ONE}, publisher = {Public Library of Science}, title = {COVID-19 mortality dynamics: The future modelled as a (mixture of) past(s)}, year = {2020}, month = {09}, volume = {15}, url = {https://doi.org/10.1371/journal.pone.0238410}, pages = {1-9}, abstract = {Discrepancies in population structures, decision making, health systems and numerous other factors result in various COVID-19-mortality dynamics at country scale, and make the forecast of deaths in a country under focus challenging. However, mortality dynamics of countries that are ahead of time implicitly include these factors and can be used as real-life competing predicting models. We precisely propose such a data-driven approach implemented in a publicly available web app timely providing mortality curves comparisons and real-time short-term forecasts for about 100 countries. Here, the approach is applied to compare the mortality trajectories of second-line and front-line European countries facing the COVID-19 epidemic wave. Using data up to mid-April, we show that the second-line countries generally followed relatively mild mortality curves rather than fast and severe ones. Thus, the continuation, after mid-April, of the COVID-19 wave across Europe was likely to be mitigated and not as strong as it was in most of the front-line countries first impacted by the wave (this prediction is corroborated by posterior data).}, number = {9}, }