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Disaster Management during Pandemic: A Big Data-Centric Approach

Author

Listed:
  • Mohamed Elsotouhy

    (The Higher Institute of Managerial Science, Egypt)

  • Geetika Jain

    (IT University of Copenhagen, Denmark)

  • Archana Shrivastava

    (Jaypee Business School, JIIT, Uttar Pradesh, India)

Abstract

The concept of big data (BD) has been coupled with disaster management to improve the crisis response during pandemic and epidemic. BD has transformed every aspect and approach of handling the unorganized set of data files and converting the same into a piece of more structured information. The constant inflow of unstructured data shows the research lacuna, especially during a pandemic. This study is an effort to develop a pandemic disaster management approach based on BD. BD text analytics potential is immense in effective pandemic disaster management via visualization, explanation, and data analysis. To seize the understanding of using BD toward disaster management, we have taken a comprehensive approach in place of fragmented view by using BD text analytics approach to comprehend the various relationships about disaster management theory. The study’s findings indicate that it is essential to understand all the pandemic disaster management performed in the past and improve the future crisis response using BD. Though worldwide, all the communities face big chaos and have little help reaching a potential solution.

Suggested Citation

  • Mohamed Elsotouhy & Geetika Jain & Archana Shrivastava, 2021. "Disaster Management during Pandemic: A Big Data-Centric Approach," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 18(04), pages 1-24, June.
    • Handle: RePEc:wsi:ijitmx:v:18:y:2021:i:04:n:s0219877021400034
    DOI: 10.1142/S0219877021400034
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