MATHEMATICAL MODELING FOR TRANSMISSIBILITY OF COVID-19 VIA MOTORCYCLES

  1. Benard Okelo

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Abstract

In this paper, we present a mathematical model of trigonometric type for transmissibility and deaths as a result of COVID-19. In the model, we analyze the spread of COVID-19 by considering a new parameter, the motor-cycle as a means of public transport, which has not been considered in several other models for COVID-19. We use the mathematical model to predict the spread and deaths and we suggest strategies that can be put in place to prevent the spread caused by motorcycle as a means of public transport.

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  1. ScreenIT

    SciScore for 10.1101/2020.04.18.20070797: (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

    Software and Algorithms
    SentencesResources
    Simulation methods and statistical analysis was done using MATLAB version 9.7.
    MATLAB
    suggested: (MATLAB, RRID:SCR_001622)

    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 10.1101/2020.04.18.20070797v1 on medRxiv