Prevalence of persistent symptoms in children during the COVID-19 pandemic: evidence from a household cohort study in England and Wales

  1. Faith Miller
  2. Vincent Nguyen
  3. Annalan MD Navaratnam
  4. Madhumita Shrotri
  5. Jana Kovar
  6. Andrew C Hayward
  7. Ellen Fragaszy
  8. Robert W Aldridge
  9. Pia Hardelid

Reviewed by

Read the full article

Listed in

Log in to save this article

Abstract

Using data from 4678 children participating in VirusWatch, a household cohort study, we estimated the prevalence of persistent symptoms lasting ≥4 weeks as 1.7%, and 4.6% in children with a history of SARS-CoV-2 infection. Persistent symptom prevalence was higher in girls, teenagers and children with long-term conditions.

Article activity feed

  1. ScreenIT

    SciScore for 10.1101/2021.05.28.21257602: (What is this?)

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

    Table 1: Rigor

    EthicsField Sample Permit: VirusWatch also included a programme of nasopharyngeal swab sample collection, and blood collection via venepuncture or fingerprick sampling in a subset of 10,000 participants (See appendix 1).
    Sex as a biological variablenot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.

    Table 2: Resources

    Software and Algorithms
    SentencesResources
    All analyses were carried out using Stata version 16 and RStudio version 3.4.3.
    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.
    • No funding statement was detected.
    • 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.

  2. Version published to 10.1101/2021.05.28.21257602v1 on medRxiv