Latent Blowout of COVID-19 Globally: An Effort to Healthcare Alertness via Medical GIS Approach

  1. Laxmi Kant Sharma
  2. Rajani Kant Verma

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Abstract

Since January 2020, the COVID-19 pandemic has been escalating from North America to Asia. Various studies projected the spread of pandemic globally, using air passenger data from an infected area. But there could be various parameters that can be the basis for the forecasting of the pandemic. Current research adopts the Medical GIS approach and incorporates critical parameters from various domains to create a global alertness scale to combat the pandemic. The finding of the study ranks the countries on a 1 to 9 scale based on the spatial alertness In this context, the study focuses on the role of GIS techniques as an enabler to fight against the global pandemic and could be beneficial for the authorities to adopt timely preventive actions.

One Sentence Summary

Global Alertness Ranking to combat COVID-19

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  1. ScreenIT

    SciScore for 10.1101/2020.04.27.20082503: (What is this?)

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

    Table 1: Rigor

    NIH rigor criteria are not applicable to paper type.

    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:
    The current study provides broad directives on a global scale to combat the pandemic using an alertness scale; however, it has certain limitations. We used passenger travel data based on Mao Liang et al. (25) due to financial constraints. If real-time data would have used, the results could be more robust. We also assume that the pandemic spread of disease did not affect passenger's travel behavior. Further, our epidemic forecast based on one of the parameters, i.e., meat consumption data, which might not necessarily reflect the pandemic situation at a larger scale, especially in the occurrence of current public attentiveness and response concerning the health risk posed by of COVID-19. Further parameters related to seasonality, the origin of disease, accounting for airborne transmissibility, could be used as an extension of the study. Worldwide scientists and doctors are trying hard to develop a vaccine to cure the disease in the event of a second wave of infection. One of the current expansions in the fields of Medical GIS is coming from our growing ability to assemble mass amounts of information, known as 'Big Data' that can be helpful with determining urban mobility in case of an emergency evacuation (24,32,36). During the period of a pandemic when the human-to-human transmission established and reported case numbers are rising exponentially, forecasting is of crucial importance for public health planning and control domestically and globally. Medical GIS could be used ex...

    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.

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  2. Version published to 10.1101/2020.04.27.20082503v1 on medRxiv