Extended SIR Prediction of the Epidemics Trend of COVID-19 in Italy and Compared With Hunan, China

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Abstract

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  1. SciScore for 10.1101/2020.03.18.20038570: (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: Thank you for sharing your code and data.


    Results from LimitationRecognizer: We detected the following sentences addressing limitations in the study:
    Our study has some limitations. Firstly, it is based on the assumption that rigorous measures like China have been taken in Italy, although this study uses the new model to obtain dynamic results, which is instructive for the prevention and control of the epidemic in Italy. Secondly, the suspected cases and the daily number of hospitalized cases are not available, so they are not considered in the eSIR model. Thirdly, some unforeseeable factors may affect these estimated data in our study such as super-spreaders exist. In conclusion, the current study is the first to provide a prediction for epidemic trend after strict prevention and control measures were implemented in Italy. Our study suggests that rigorous measures like China should still be maintained in Italy by Apr 25(Mar 30-Aug 07) to prevent further spread of COVID-19.

    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.

    About SciScore

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