Monitoring Emergence of the SARS-CoV-2 B.1.1.7 Variant through the Spanish National SARS-CoV-2 Wastewater Surveillance System (VATar COVID-19)

  1. Albert Carcereny
  2. Adán Martínez-Velázquez
  3. Albert Bosch
  4. Ana Allende
  5. Pilar Truchado
  6. Jenifer Cascales
  7. Jesús L Romalde
  8. Marta Lois
  9. David Polo
  10. Gloria Sánchez
  11. Alba Pérez-Cataluña
  12. Azahara Díaz-Reolid
  13. Andrés Antón
  14. Josep Gregori
  15. Damir Garcia-Cehic
  16. Josep Quer
  17. Margarita Palau
  18. Cristina González Ruano
  19. Rosa M Pintó
  20. Susana Guix

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Abstract

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  1. Version published to 10.1021/acs.est.1c03589
  2. ScreenIT

    SciScore for 10.1101/2021.05.27.21257918: (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.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    Libraries were loaded in MiSeq Reagent Kit 600v3 cartridges and sequenced on MiSeq platform (Illumina).
    MiSeq
    suggested: (A5-miseq, RRID:SCR_012148)

    Results from OddPub: Thank you for sharing your data.

    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 10.1101/2021.05.27.21257918v1 on medRxiv