SARS-CoV-2 infection of African green monkeys results in mild respiratory disease discernible by PET/CT imaging and shedding of infectious virus from both respiratory and gastrointestinal tracts

  1. Amy L. Hartman
  2. Sham Nambulli
  3. Cynthia M. McMillen
  4. Alexander G. White
  5. Natasha Louise Tilston-Lunel
  6. Joseph R. Albe
  7. Emily Cottle
  8. Matthew D. Dunn
  9. L. James Frye
  10. Theron H. Gilliland
  11. Emily L. Olsen
  12. Katherine J. O’Malley
  13. Madeline M. Schwarz
  14. Jaime A. Tomko
  15. Reagan C. Walker
  16. Mengying Xia
  17. Matthew S. Hartman
  18. Edwin Klein
  19. Charles A. Scanga
  20. JoAnne L. Flynn
  21. William B. Klimstra
  22. Anita K. McElroy
  23. Douglas S. Reed
  24. W. Paul Duprex

Reviewed by

Read the full article See related articles

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1371/journal.ppat.1008903
  2. ScreenIT

    SciScore for 10.1101/2020.06.20.137687: (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 variablenot detected.

    Table 2: Resources

    No key resources detected.

    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: Please consider improving the rainbow (“jet”) colormap(s) used on page 14. At least one figure is not accessible to readers with colorblindness and/or is not true to the data, i.e. not perceptually uniform.

    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.

  3. Version published to 10.1101/2020.06.20.137687v1 on bioRxiv