Association of Prior SARS-CoV-2 Infection With Risk of Breakthrough Infection Following mRNA Vaccination in Qatar

  1. Laith J. Abu-Raddad
  2. Hiam Chemaitelly
  3. Houssein H. Ayoub
  4. Hadi M. Yassine
  5. Fatiha M. Benslimane
  6. Hebah A. Al Khatib
  7. Patrick Tang
  8. Mohammad R. Hasan
  9. Peter Coyle
  10. Zaina Al Kanaani
  11. Einas Al Kuwari
  12. Andrew Jeremijenko
  13. Anvar Hassan Kaleeckal
  14. Ali Nizar Latif
  15. Riyazuddin Mohammad Shaik
  16. Hanan F. Abdul Rahim
  17. Gheyath K. Nasrallah
  18. Mohamed Ghaith Al Kuwari
  19. Adeel A. Butt
  20. Hamad Eid Al Romaihi
  21. Mohamed H. Al-Thani
  22. Abdullatif Al Khal
  23. Roberto Bertollini

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Abstract

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  1. Version published to 10.1001/jama.2021.19623
  2. ScreenIT

    SciScore for 10.1101/2021.07.25.21261093: (What is this?)

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

    Table 1: Rigor

    Ethicsnot detected.
    Sex as a biological variablenot detected.
    RandomizationEvery PCR test conducted in Qatar, regardless of location (outpatient clinic, drive-thru, or hospital, etc.), is classified on the basis of symptoms and the reason for testing (clinical symptoms, contact tracing, random testing campaigns (surveys), individual requests, routine healthcare testing, pre-travel, and port of entry).
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Incidence rates and corresponding 95% CIs were estimated using a Poisson log-likelihood regression model with the STATA 17.042 stptime command.
    STATA
    suggested: (Stata, RRID:SCR_012763)
    Statistical analyses were conducted in STATA/SE version 17.042.
    STATA/SE
    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.

    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 10.1101/2021.07.25.21261093 on medRxiv