COVID-19 wastewater surveillance in rural communities: Comparison of lagoon and pumping station samples

  1. Patrick M. D'Aoust
  2. Syeda Tasneem Towhid
  3. Élisabeth Mercier
  4. Nada Hegazy
  5. Xin Tian
  6. Kamya Bhatnagar
  7. Zhihao Zhang
  8. Colleen C. Naughton
  9. Alex E. MacKenzie
  10. Tyson E. Graber
  11. Robert Delatolla

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Abstract

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  1. Version published to 10.1016/j.scitotenv.2021.149618
  2. Version published to 10.1101/2021.05.01.21256458v2 on medRxiv
  3. ScreenIT

    SciScore for 10.1101/2021.05.01.21256458: (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
    Data analysis was performed using Agilent’s proprietary 2100 Expert software (version B.02.10.SI764).
    Agilent’s
    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: We detected the following sentences addressing limitations in the study:
    A limitation on the interpretation of this data is that epidemiological data was not available for the community itself, but rather is for the whole geographical region covered by the EOHU. As a point of reference, population-wise, the studied small community (∼4,000 people) represents approximately 2% of the whole population administered by the EOHU (∼200,000 people). This limitation in the available epidemiological data may slightly change localized patterns in data however if the assumption that this town and its citizens do not behave in dramatically different ways than the rest of the residents under the purview of the EOHU, trends and conclusions on the predictive abilities of WBE efforts are not expected to change significantly. As outlined with these results, samples harvested from the pumping station of the community provide strong pathogen signal than those collected at the lagoon in the context of a WBE program, making the pumping station an objectively better sampling location.

    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.

  4. Version published to 10.1101/2021.05.01.21256458v1 on medRxiv