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Development of Decision Support System for Effective COVID-19 Management

arXiv 2203.08221 ↗First posted 12 Mar 2022eess.SY cs.AI cs.SYcited by 0

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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.

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.

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2 of 24 references.

References · 2

  1. 2022Optimal Lockdown Management using Short Term COVID-19 Prediction Modelcited by 1
  2. 2022Critical Medical Resource Allocation during COVID-19 Pandemiccited by 1

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