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  1. SciScore for 10.1101/2021.10.08.21264782: (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
    Viral load data: Longitudinal viral load data of symptomatic and asymptomatic COVID-19 patients were searched through PubMed and Google scholar.
    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:
    Regardless of the flexibility of the simulation framework, there are a few limitations which need to be addressed in future studies. First, we did not consider false-positive rate of the antigen tests (specificity of antigen tests for SARS-CoV-2: 99.6% (Dinnes et al., 2021)). Especially in screening settings under low prevalence, even a small false positive rate would be an issue. For example, if the prevalence is 1% (and the sensitivity is 100%), the screening test with 99% sensitivity will produce almost the same number of false negative cases. As people with false positive results may need to be confirmed by PCR tests, targeted screening (targeting high prevalence population) should be considered. Second, both the transmission model and the viral dynamics model did not consider emerging variants, reinfection, breakthrough infection, and vaccine effect. If the viral dynamics of delta variant is different from the original variant (Li et al. suggested that the delta variant presented faster viral replication (B. Li et al., 2021)), our model needs to be updated. However, we anticipate that faster viral replication would not influence our findings because the replication speed is associated with the length that the virus cannot be detected, which is already less than 3 days with the original variant. The models need to update the transmission risk of under vaccination. Third, the transmission model did not incorporate behavioral change during the pandemic or screening. The con...

    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.

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