Epidemiological Investigation of the First 135 COVID-19 Cases in Brunei: Implications for Surveillance, Control, and Travel Restrictions

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Abstract

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  1. SciScore for 10.1101/2020.06.29.20142463: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementIRB: Ethics approval was granted by the University Research Ethics Committee,
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    15 All analyses were conducted using Microsoft Excel and R (ver
    Microsoft Excel
    suggested: (Microsoft Excel, RRID:SCR_016137)

    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: Our study has several limitations. First, while we can be reasonably confident of having identified most cases since March, given more restrictive testing criteria in January and February, we are unable to account for potential importation events that may have occurred prior to detection of the first case. Second, the generalizability of our results are limited due to a lack of cases in settings such as residential care facilities and dormitories, no community transmission, and small number of cases. Third, due to the potential for pre-symptomatic infection of SARS-CoV-2, using the SI distribution to approximate the generation time distribution is problematic. We had not accounted for negative SIs with the use of the Gamma distribution and could have overestimated Rt to fit incidence data. One way to account for negative SI is to use a deconvolution approach using the incubation period distribution to recover the generation time distribution.32 However, this assumes that the generation time and incubation period distributions are independent, which may not be appropriate. Finally, given the limited data available and the analytic methods employed, we could not directly estimate the effectiveness of other NPIs, such as face-mask wearing, personal hygiene practices, and voluntary reductions in mobility.

    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.