A Comparative Analysis Of COVID-19 Mortality Rate Across the Globe: An Extensive Analysis of the Associated Factors

  1. Department of Medicine, Hamdard Institute of Medical Sciences & Research (HIMSR), New Delhi, India
  2. Vineet Jain
  3. Nusrat Nabi
  4. Department of Pharmacology, HIMSR
  5. Kailash Chandra
  6. Department of Biochemistry, HIMSR, New Delhi
  7. Sana Irshad
  8. Department of Medicine, Hamdard Institute of Medical Sciences & Research (HIMSR), New Delhi, India
  9. Varun Kashyap
  10. Department of community medicine, HIMSR, New Delhi
  11. Sunil Kohli
  12. Department of Medicine, Hamdard Institute of Medical Sciences & Research (HIMSR), New Delhi, India
  13. Arun Gupta
  14. Head Medical Affairs and clinical Research, Dabur Research and Development Center

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  1. ScreenIT

    SciScore for 10.1101/2020.12.22.20248696: (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:
    Limitations: There are a few obvious limitations of the study that need to be acknowledged. The study is being conducted in the midst of the pandemic and as such the data is subject to change over any plausible short duration. However, this could serve as the strength of study, wherein our results will reflect an overview of the global impact of the virus. Another important confounding factor that impacts the mortality rate and our study observation is how the COVID-19 mortality is calculated. Currently different countries have different methods and criteria for analyzing their respective mortality.

    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.
    • Thank you for including a protocol registration statement.

    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 10.26911/jepublichealth.2021.06.03.05.
  3. Version published to 10.1101/2020.12.22.20248696v1 on medRxiv