Development of Decision Support System for Effective COVID-19 Management
This provides a tool for government authorities to manage COVID-19, but it is incremental as it applies existing data-driven methods to a new domain without novel algorithmic breakthroughs.
The paper tackles COVID-19 management by developing a Decision Support System (DSS) for predicting cases, allocating resources, and managing lockdowns, applicable to any area through a data-driven approach and implemented via a MATLAB-based GUI.
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.