Trends in Respiratory Virus Infections During the COVID-19 Pandemic in Singapore, 2020

  1. Wei Yee Wan
  2. Koh Cheng Thoon
  3. Liat Hui Loo
  4. Kian Sing Chan
  5. Lynette L. E. Oon
  6. Adaikalavan Ramasamy
  7. Matthias Maiwald

Reviewed by

Read the full article

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

Log in to save this article

Abstract

No abstract available

Article activity feed

  1. Version published to 10.1001/jamanetworkopen.2021.15973
  2. ScreenIT

    SciScore for 10.1101/2021.03.23.21251968: (What is this?)

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

    Table 1: Rigor

    Institutional Review Board Statementnot detected.
    Randomizationnot detected.
    Blindingnot detected.
    Power Analysisnot detected.
    Sex as a biological variablenot detected.

    Table 2: Resources

    No key resources detected.

    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:
    This study has several limitations. First, the data were obtained from routine diagnostic tests and were dependent on hospitals’ test requesting patterns. Second, changes in healthcare-seeking behavior during the pandemic may have influenced the trends observed, but the magnitude and direction of these changes cannot be easily ascertained. Third, age information was unavailable, which means that pediatric-adult differences were crudely inferred from the hospitals’ typical patient population.

    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.

    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 10.1101/2021.03.23.21251968 on medRxiv