The estimations of the COVID-19 incubation period: A scoping reviews of the literature

  1. Nazar Zaki
  2. Elfadil A. Mohamed

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Abstract

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  1. Version published to 10.1016/j.jiph.2021.01.019
  2. ScreenIT

    SciScore for 10.1101/2020.05.20.20108340: (What is this?)

    Please note, not all rigor criteria are appropriate for all manuscripts.

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    This dataset is regularly updated when new research appears in peer-reviewed publications and archive services, e.g. bioRxiv, medRxiv, et cetera. 2.4. Search: For reviewing every article in the dataset we employed the Bidirectional Encoder Representations from Transformers for Biomedical Text Mining (BioBERT) model [9], which is a biomedical language representation model created to assist in mining biomedical texts.
    bioRxiv
    suggested: (bioRxiv, RRID:SCR_003933)
    BioBERT
    suggested: (BioBERT, RRID:SCR_017547)
    Selection of sources of evidence: Besides the automated search conducted using the (BioBERT) model [9], an independent search was undertaken by the two reviewers (NZ and EA), who examined the PubMed, and Google Scholar databases.
    PubMed
    suggested: (PubMed, RRID:SCR_004846)
    Google Scholar
    suggested: (Google Scholar, RRID:SCR_008878)

    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: We detected the following sentences addressing limitations in the study:
    Limitations: The Scoping Reviews presented in this paper has some limitations. The reviews included not peer-reviewed articles. No meta-analysis was performed. Furthermore, this Scoping Review was an enormous undertaking and our results are only up to date as of April 25th, 2020. This research has looked at a single element of the virus behavior, viz. its incubation period. While health authorities must know how they can accurately estimate the virus’ incubation period in order to direct the most effective public health interventions, select the best course of action and make estimations of the size of the epidemic, there is still no definitive answer as to what the incubation period is. 4.3. Conclusions: Throughout human history, epidemics have been a disrupter of human civilizations and caused staggering amounts of mortality and illness for both humans and animals [30]. A novel form of coronavirus (Sars-CoV-2) appeared in Wuhan, China, in December 2019; the virus was unexpected and swiftly spread worldwide. Many leading research laboratories and the WHO are striving to create a vaccine to protect against the disease. Nevertheless, as this is a new form of virus, there is much still to understand it. It is essential that we gain an understanding of the way the disease behaves. In conclusion, the majority of extant published articles estimates offer empirical evidence showing that the incubation period for the virus is a mean of 7.8 days, with a median of 5.01 days, which fal...

    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 10.1101/2020.05.20.20108340 on medRxiv