  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.
