A non-parametric mathematical model to investigate the dynamic of a pandemic

  1. Robert Sosa
  2. Wilfredo Sosa

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Abstract

Populations are diverse in size, capacity response, and measures to contain a pandemic such covid19. Then, it rises serious and critical questions to whether general measures can be taken worldwide. Also, it is unclear if conventional parametric methods are suitable to study pandemics since their dynamic is modulated by biological, economical, environmental, social, and cultural factors. In this manuscript, we apply a recently developed non-parametric mathematical method that comes from regional economy, to investigate the dynamic of a pandemic. We apply this novel methodology to study the ongoing covid19 pandemic in all USA states and in the country itself. The generality of our methodology makes it suitable to investigate also the worldwide dynamics of diseases such HIV or tuberculosis.

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  1. ScreenIT

    SciScore for 10.1101/2020.04.30.20086199: (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 10.1101/2020.04.30.20086199v1 on medRxiv