Development of Decision Support System for Effective COVID-19 Management
Systems and Control
2022-03-17 v1 Artificial Intelligence
Systems and Control
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.
Cite
@article{arxiv.2203.08221,
title = {Development of Decision Support System for Effective COVID-19 Management},
author = {shuvrangshu Jana and Rudrashis Majumder and Aashay Bhise and Nobin Paul and Stuti Garg and Debasish Ghose},
journal= {arXiv preprint arXiv:2203.08221},
year = {2022}
}
Comments
5th world Congress on Disaster Management, IIT Delhi, New Delhi, India