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Development of Decision Support System for Effective COVID-19 Management (2203.08221v1)

Published 12 Mar 2022 in eess.SY, cs.AI, and cs.SY

Abstract: This paper discusses a Decision Support System (DSS) for cases prediction, allocation of resources, and lockdown management for managing COVID-19 at different levels of a government authority. Algorithms incorporated in the DSS are based on a data-driven modeling approach and independent of physical parameters of the region, and hence the proposed DSS is applicable to any area. Based on predicted active cases, the demand of lower-level units and total availability, allocation, and lockdown decision is made. A MATLAB-based GUI is developed based on the proposed DSS and could be implemented by the local authority.

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Authors (6)
  1. shuvrangshu Jana (13 papers)
  2. Rudrashis Majumder (5 papers)
  3. Aashay Bhise (5 papers)
  4. Nobin Paul (1 paper)
  5. Stuti Garg (2 papers)
  6. Debasish Ghose (43 papers)

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