Rethinking case fatality ratios for covid-19 from a data-driven viewpoint

@article{Rosakis2020RethinkingCF,
  title={Rethinking case fatality ratios for covid-19 from a data-driven viewpoint},
  author={P. Rosakis and M. Marketou},
  journal={The Journal of Infection},
  year={2020},
  volume={81},
  pages={e162 - e164}
}
The case fatality ratio (CFR) for COVID-19 is difficult to estimate. One difficulty is due to ignoring or overestimating time delay between reporting and death. We claim that all of these cause large errors and artificial time dependence of the CFR. We find that for each country, there is a unique value of the time lag between reported cases and deaths versus time, that yields the optimal correlation between them is a specific sense. We find that the resulting corrected CFR (deaths shifted back… Expand
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