Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model

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Abstract

No abstract available

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  1. SciScore for 10.1101/2020.11.21.20236034: (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: We detected the following sentences addressing limitations in the study:
    This study has several limitations. First, asymptomatic cases considered in our model were cases that remained asymptomatic throughout the infection period. An alternative definition of “asymptomatic” refers to remaining symptom-free during the incubation period alone. To the best of our knowledge, no studies have compared prevention strategies applicable to these different categories of asymptomatic cases. In summary, our model provides individuals, governments, and organizations with strategic insights for the management of asymptomatic cases during a pandemic. This study provides suggestions on intervention implementation, including priority, intensity, and target population. It has specific significance for alleviating the strict blockade measures and the social, medical, and economic burdens.

    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.