Optimal Healthcare Resource Allocation in Covid Scenario Using Firefly Algorithm

Optimal Healthcare Resource Allocation in Covid Scenario Using Firefly Algorithm

© 2022 by IJETT Journal
Volume-70 Issue-5
Year of Publication : 2022
Authors : Anu, Anita Singhrova
DOI :  10.14445/22315381/IJETT-V70I5P226

How to Cite?

Anu, Anita Singhrova, "Optimal Healthcare Resource Allocation in Covid Scenario Using Firefly Algorithm," International Journal of Engineering Trends and Technology, vol. 70, no. 5, pp. 240-250, 2022. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I5P226

Coronavirus pandemic is spreading exponentially across the world, and so is the surge in requirement of the intensive care unit (ICU) of hospitals. Proper management of healthcare resources and providing proper hospital beds, supplies, and healthcare services to patients are needed to cope with this disease. Fare rationing of scarce ICU resources should be allowed by critical care triage. This is one of the scenarios where emerging computing technologies contribute in an indispensable way. This paper presents a bio-inspired firefly algorithm for smart healthcare resource allocation in the COVID era. The firefly optimization results show a reduction in average waiting time and improvement in resource utilization compared to the random allocation technique.

Coronavirus, Covid-19, Firefly, Fog Computing, Healthcare.

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