A HEURISTIC MODEL FOR SPREAD OF COVID-19 INFECTION CASES IN INDIA

  1. Bishwajit Bhattacharjee

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Abstract

A simple heuristic model for spread of COVID-19 infections in India is presented and compared with reported data up to April 10, 2020. Spread of infection is considered to be initiating from infected individuals and spread is assumed to take place in a compounding manner. Some of the data needed are taken from readily available sources in the web. The possible progress is then estimated based on model presented and possible scenarios are highlighted.

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    SciScore for 10.1101/2020.04.25.20079483: (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: 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.

    About SciScore

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  2. Version published to 10.1101/2020.04.25.20079483 on medRxiv