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