Estimation of COVID-19 case fatality ratio based on a bi-directional correction method
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Abstract
The case fatality rate (CFR) can be used to predict the number of potential deaths in the epidemic and thus can reflect the appropriateness and quality of medical measures developed by public health. When a new disease breaks out, it is particularly important to accurately estimate the CFR. However, while the epidemic is still developing, the crude CFR is often lower than the true value and the hospital CFR is often higher than the true value due to differences in occurrence time, patient number, and treatment plans. Therefore, this study proposes a bi-directional correction method to estimate the CFR. COVID-19 data from China were used to evaluate this method. The results show that this method provides more accurate results than both the crude CFR and hospital CFR. Additionally, this method was used to estimate the CFR of COVID-19 in other countries, with an aim to provide a reference for prevention and control decisions for the COVID-19 epidemic and for the evaluation of medical efforts.
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SciScore for 10.1101/2020.05.02.20089144: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank…
SciScore for 10.1101/2020.05.02.20089144: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
No key resources detected.
Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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