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Authors: Muhammad S. T. Alfas and Shaurya Shriyam

Affiliation: Department of Mechanical Engineering, Indian Institute of Technology, Delhi, India

Keyword(s): COVID-19 Testing, Resource Management, Pooled Testing, Multi-armed Bandit, Online Dynamic Allocation.

Abstract: Testing kit scarcity plays an important role in aggravating any epidemiological response against pandemics such as COVID-19, especially for resource-constrained countries. Better decision-making tools are essential to assist policymakers in containing the disease from spreading to a large extent despite limited resource availability. We propose a testing kit allocation framework that comprises three components: estimation of time-varying prevalence rates using empirical Bayes model, testing kit allocation using multi-armed bandit algorithms, and pooled testing technique to extract the maximum utility from the available testing kits. We conduct simulation experiments based on real-world data and obtain results to demonstrate the enhanced efficiency in detecting COVID-19 cases. We conclude that Bayesian estimation of prevalence coupled with bandit-based allocation performs significantly well. We also identify scenarios under which pooled testing offers a strong advantage.

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Paper citation in several formats:
Alfas, M. and Shriyam, S. (2022). Online Heuristic Approach for Efficient Allocation of Limited COVID-19 Testing Kits. In Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-548-7; ISSN 2184-4372, SciTePress, pages 329-336. DOI: 10.5220/0010818600003117

@conference{icores22,
author={Muhammad S. T. Alfas. and Shaurya Shriyam.},
title={Online Heuristic Approach for Efficient Allocation of Limited COVID-19 Testing Kits},
booktitle={Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2022},
pages={329-336},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010818600003117},
isbn={978-989-758-548-7},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Operations Research and Enterprise Systems - ICORES
TI - Online Heuristic Approach for Efficient Allocation of Limited COVID-19 Testing Kits
SN - 978-989-758-548-7
IS - 2184-4372
AU - Alfas, M.
AU - Shriyam, S.
PY - 2022
SP - 329
EP - 336
DO - 10.5220/0010818600003117
PB - SciTePress

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