# Development of Decision Support System for Effective COVID-19 Management

arXiv: https://arxiv.org/abs/2203.08221 · HTML: https://mlsanity.com/paper/2203.08221/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 24 references that are in the map.
- First posted on arXiv 12 Mar 2022.

## Builds on (most cited first, 2 of 2)

- [Optimal Lockdown Management using Short Term COVID-19 Prediction Model](https://mlsanity.com/paper/2203.03488/) (2022)
- [Critical Medical Resource Allocation during COVID-19 Pandemic](https://mlsanity.com/paper/2203.06071/) (2022)

## Abstract (arXiv)

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.