Anti SARS-CoV-2 seroprevalence in Zanzibar in 2021 before the Omicron wave

  1. Salum Seif Salum
  2. Mohammed Ali Sheikh
  3. Antje Hebestreit
  4. Sørge Kelm

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Abstract

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  1. Version published to 10.1016/j.ijregi.2022.06.007
  2. ScreenIT

    SciScore for 10.1101/2022.04.23.22274199: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: All eligible participants gave written consent in an entirely voluntary manner after all relevant information had been provided in the local language.
    Sex as a biological variablenot detected.
    RandomizationStudy area, study design and sampling: This cross-sectional study was designed to provide representative seroprevalence data from the main islands, Unguja and Pemba. 120 of the total 388 wards (Shehias) were randomly selected covering urban and rural areas.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Laboratory Analysis: The EUROIMMUN Anti-SARS-CoV-2 ELISA (IgG) kit provided a semi-quantitative analysis detecting human IgG antibodies against S1 domain of SARS-CoV-2 spike protein indicating prior infections and has been recommended for seroprevalence surveys like this (Gededzha et al., 2021).
    Anti-SARS-CoV-2 ELISA (IgG
    suggested: None
    human IgG
    suggested: None
    S1
    suggested: (Thermo Fisher Scientific Cat# PA5-81785, RRID:AB_2788960)

    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: 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.

    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.

  3. Version published to 10.1101/2022.04.23.22274199 on medRxiv