Serological surveillance of SARS-CoV-2: Six-month trends and antibody response in a cohort of public health workers

  1. Ross J. Harris
  2. Heather J. Whitaker
  3. Nick J. Andrews
  4. Felicity Aiano
  5. Zahin Amin-Chowdhury
  6. Jessica Flood
  7. Ray Borrow
  8. Ezra Linley
  9. Shazaad Ahmad
  10. Lorraine Stapley
  11. Bassam Hallis
  12. Gayatri Amirthalingam
  13. Katja Höschler
  14. Ben Parker
  15. Alex Horsley
  16. Timothy J.G. Brooks
  17. Kevin E. Brown
  18. Mary E. Ramsay
  19. Shamez N. Ladhani

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Abstract

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  1. Version published to 10.1016/j.jinf.2021.03.015
  2. Version published to 10.1101/2020.10.21.20216689v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2020.10.21.20216689: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board StatementConsent: After providing written consent, participants completed a brief questionnaire about recent respiratory symptoms and provided ∼10 mL of blood by venepuncture.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    Antibodies
    SentencesResources
    Study design: ESCAPE (Enhanced SeroIncidence for COVID-19 Antibodies among PHE and NHS Staff) is a prospective surveillance cohort collecting blood samples for SARS-CoV-2 antibodies and questionnaire data at monthly intervals.
    SARS-CoV-2
    suggested: None

    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.

    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.

  4. Version published to 10.1101/2020.10.21.20216689v1 on medRxiv