Delta variant SARS-CoV-2 infections in pediatric cases during the second wave in India

  1. Pragya D. Yadav
  2. Gunjan Kumar
  3. Aparna Mukherjee
  4. Dimpal A. Nyayanit
  5. Anita M. Shete
  6. Rima R. Sahay
  7. Abhinendra Kumar
  8. Triparna Majumdar
  9. Savita Patil
  10. Priyanka Pandit
  11. Yash Joshi
  12. Manisha Dudhmal
  13. Samiran Panda
  14. Lokesh Kumar Sharma
  15. Kala Yadav Ml
  16. Jayanthi Shastri
  17. Mayank Gangwar
  18. Ashok Munivenkattapa
  19. Varsha Potdar
  20. K. Nagamani
  21. Kapil Goyal
  22. Ravisekhar Gadepalli
  23. Maria Thomas
  24. Suruchi Shukla
  25. P. Nagraj
  26. Vivek Gupta
  27. Gaurav Dalela
  28. Nawaz Umar
  29. Sweety M. Patel

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Abstract

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  1. Version published to 10.1016/j.jmii.2022.06.001
  2. ScreenIT

    SciScore for 10.1101/2021.12.09.21266954: (What is this?)

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

    Table 1: Rigor

    EthicsConsent: Inclusion, exclusion criteria and transport of specimens: SARS-CoV-2 cases fulfilling the following inclusion criteria were enrolled under the study: i) Nasopharyngeal/Oropharyngeal (NPS/OPS) swab samples collected fromSARS-CoV-2 cases during the period of second wave ii) Cases whose real time RT-PCR threshold value was <30 and NPS/OPS were appropriately stored at −80 °C; (iii) Sample referral forms (SRF) capturing the demographic and clinical details of cases were available with the respective sites and (iv) Provision of the consent from the parents/guardians.
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    The amino acid variation for each gene and net nucleotide and amino acid divergence was identified using the MEGA software version 7.0(14) and illustrated using GraphPad Prism v9.
    MEGA
    suggested: (Mega BLAST, RRID:SCR_011920)
    GraphPad Prism
    suggested: (GraphPad Prism, RRID:SCR_002798)
    Statistical Analysis: Data analysis was done using STATA v14 (College Station, TX).
    STATA
    suggested: (Stata, RRID:SCR_012763)

    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 10.1101/2021.12.09.21266954v1 on medRxiv