Coordinated support for local action: Modeling strategies to facilitate behavior adoption in urban-poor communities of Liberia for sustained COVID-19 suppression

  1. Laura A. Skrip
  2. Mosoka P. Fallah
  3. Jamie Bedson
  4. Laurent Hébert-Dufresne
  5. Benjamin M. Althouse

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Abstract

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  1. Version published to 10.1016/j.epidem.2021.100529
  2. Version published to 10.21203/rs.3.rs-57045/v1 on Research Square
  3. Version published to 10.1101/2020.08.11.20172031v2 on medRxiv
  4. ScreenIT

    SciScore for 10.1101/2020.05.24.20111765: (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 variableData on employment rates among women and men in 2018 come from the OECD Family Database (see table S7 below).

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    More detailed data on age and sex characteristics of persons with reported COVID-19 infections are provided in supplement tables S4-S5; source data and computed infection rates by 10-year age groups are listed in supplementary data tables in MS Excel.
    MS Excel
    suggested: None

    Results from OddPub: Thank you for sharing your 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.

    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.

  5. Version published to 10.1101/2020.08.11.20172031v1 on medRxiv