Estimation of Case Fatality Rate during an Epidemic: an Example from COVID-19 Pandemic
Yunesian, M.; Fotouhi, A.; Aghaei, M.
Show abstract
The case fatality rate (CFR) is an important index in epidemics and policymakers need to be aware of this statistic for making sound decisions. However, there are some uncertainties in the calculation of the fatality rate and the true case fatality rate can be calculated after an epidemic subsides, we calculated the fatality rate for 20 countries which had the highest number of confirmed cases with three scenarios. In this study, we provided detailed information to discuss the studies that calculate the case fatality rate during the COVID-19 pandemic and highlight the estimation bias in these studies.
Matching journals
The top 10 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- A new, simple method of describing COVID-19 trajectory and dynamics in any country based on Johnson Cumulative Distribution Function fitting 94%
- Several countries in one: a mathematical modeling analysis for COVID-19 in inner Brazil 93%
- Quantifying the effect of isolation and negative certification on COVID-19 transmission 93%
Similar papers in this journal
- Research on the Influence of Information Diffusion on the Transmission of the Novel Coronavirus (COVID-19) 94%
- Using A Socio-Ecological System (SES) Framework to Explain Factors Influencing Countries’ Success Level in Curbing COVID-19 94%
- Evaluating transmission heterogeneity and super-spreading event of COVID-19 in a metropolis of China 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.