On the use of growth models to understand epidemic outbreaks with application to COVID-19 data

  1. Chénangnon Frédéric Tovissodé
  2. Bruno Enagnon Lokonon
  3. Romain Glèlè Kakaï

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Abstract

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  1. Version published to 10.1371/journal.pone.0240578
  2. ScreenIT

    SciScore for 10.1101/2020.08.16.20176057: (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

    Software and Algorithms
    SentencesResources
    At can however be obtained in practice from (6) using a numerical integration routine such as the function integrate in R freeware (R Core Team, 2019) or the function integral of Matlab (MATLAB, 2016).
    Matlab
    suggested: (MATLAB, RRID:SCR_001622)
    2.6 Application to reported COVID-19 new cases in Italy:
    Italy
    suggested: None

    Results from OddPub: Thank you for sharing your code and data.

    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.

    About SciScore

    SciScore is an automated tool that is designed to assist expert reviewers by finding and presenting formulaic information scattered throughout a paper in a standard, easy to digest format. SciScore checks for the presence and correctness of RRIDs (research resource identifiers), and for rigor criteria such as sex and investigator blinding. For details on the theoretical underpinning of rigor criteria and the tools shown here, including references cited, please follow this link.

  3. Version published to 10.1101/2020.08.16.20176057v1 on medRxiv