Epidemiological waves - Types, drivers and modulators in the COVID-19 pandemic

  1. John Harvey
  2. Bryan Chan
  3. Tarun Srivastava
  4. Alexander E. Zarebski
  5. Paweł Dłotko
  6. Piotr Błaszczyk
  7. Rachel H. Parkinson
  8. Lisa J. White
  9. Ricardo Aguas
  10. Adam Mahdi

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Abstract

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  1. Version published to 10.1016/j.heliyon.2023.e16015
  2. ScreenIT

    SciScore for 10.1101/2022.01.07.21268513: (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

    Experimental Models: Organisms/Strains
    SentencesResources
    [algo], where the feature is a decrease in values but y1 < y2), the minimum and maximum are removed.
    y1 < y2
    suggested: None
    However, in the second window the decrease is still visible after censoring (y1 > y2) so this pair is retained.
    y1 > y2
    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.

    Results from scite Reference Check: We found no unreliable references.

    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 10.1101/2022.01.07.21268513v1 on medRxiv