Viral Load Among Vaccinated and Unvaccinated, Asymptomatic and Symptomatic Persons Infected With the SARS-CoV-2 Delta Variant

  1. Charlotte B Acharya
  2. John Schrom
  3. Anthea M Mitchell
  4. David A Coil
  5. Carina Marquez
  6. Susana Rojas
  7. Chung Yu Wang
  8. Jamin Liu
  9. Genay Pilarowski
  10. Leslie Solis
  11. Elizabeth Georgian
  12. Sheri Belafsky
  13. Maya Petersen
  14. Joseph DeRisi
  15. Richard Michelmore
  16. Diane Havlir

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Abstract

We found no significant difference in cycle threshold values between vaccinated and unvaccinated persons infected with severe acute respiratory syndrome coronavirus 2 Delta, overall or stratified by symptoms. Given the substantial proportion of asymptomatic vaccine breakthrough cases with high viral levels, interventions, including masking and testing, should be considered in settings with elevated coronavirus disease 2019 transmission.

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  3. Version published to 10.1093/ofid/ofac135
  4. Version published to 10.1101/2021.09.28.21264262v2 on medRxiv
  5. ScreenIT

    SciScore for 10.1101/2021.09.28.21264262: (What is this?)

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

    Table 1: Rigor

    EthicsIRB: UeS: The UC San Francisco Committee on Human Research determined the study met criteria for public health surveillance.
    Consent: All participants provided informed consent for testing.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Cell Line AuthenticationAuthentication: Sequencing confirmed the variants called by genotyping.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Ct-values were calculated with FastFinder software (UgenTec | FastFinder).
    FastFinder
    suggested: None
    UeS: Individuals provided demographic data and information on symptoms immediately prior to testing using BinaxNOW™ kits.
    BinaxNOW™
    suggested: None
    Ct-values for the detection of N and E genes [8] were determined via the single threshold Cq-determination mode using Bio-Rad CFX Maestro v4.1 (Bio-Rad Inc).
    Bio-Rad CFX Maestro
    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.

  6. Version published to 10.1101/2021.09.28.21264262v1 on medRxiv