SARS-CoV-2 RNA is enriched by orders of magnitude in primary settled solids relative to liquid wastewater at publicly owned treatment works

  1. Sooyeol Kim
  2. Lauren C. Kennedy
  3. Marlene K. Wolfe
  4. Craig S. Criddle
  5. Dorothea H. Duong
  6. Aaron Topol
  7. Bradley J. White
  8. Rose S. Kantor
  9. Kara L. Nelson
  10. Joshua A. Steele
  11. Kylie Langlois
  12. John F. Griffith
  13. Amity G. Zimmer-Faust
  14. Sandra L. McLellan
  15. Melissa K. Schussman
  16. Michelle Ammerman
  17. Krista R. Wigginton
  18. Kevin M. Bakker
  19. Alexandria B. Boehm

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Abstract

We compared SARS-CoV-2 RNA concentrations in primary settled solids and raw wastewater samples matched in date to investigate the relationship between the two matrices.

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  1. Version published to 10.1039/d1ew00826a
  2. ScreenIT

    SciScore for 10.1101/2021.11.10.21266138: (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.
    RandomizationEach bootstrap replicate was sampled randomly from a uniform distribution between the upper and lower bounds on the measurement.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Results were processed using QuantaSoft and QuantaSoft Analysis Pro (BioRad, CA) to manually threshold and export data.
    QuantaSoft
    suggested: None
    QuantaSoft Analysis Pro
    suggested: None
    Statistical analysis: Statistics were computed using RStudio (version 1.4.1106).
    RStudio
    suggested: (RStudio, RRID:SCR_000432)

    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 10.1101/2021.11.10.21266138v1 on medRxiv