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Journal of Interdisciplinary Mathematics cover
Hybrid ·Peer-reviewed·ISSN (Online): 2169-012X·ISSN (Print): 0972-0502

Monthly Journal: Publishes the methodological and theoretical role of mathematics and mathematical applications underpinning scientific research.

Issues up to 2022 co-published with and available at:Taylor & Francis Online
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Open Access Research Article

Mathematical models to optimize pandemic spread and control strategies in public health management

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pp. 597–606Vol. 29Issue 3March 2026DOI: 10.47974/JIM-2494XML
Received:
01 Mar 2025
Published Online:
18 Mar 2026
Article type:
Research Article
Language:
EN
Article no.:
JIM-2494
Pages:
597–606

Abstract

This paper presents mathematical models that may be applied to enhance the management of the health of the population and prevent pandemics. It is based on compartmental models such as SEIR and control variables such as the vaccine, quarantine, and social isolation to model disease spread and the effectiveness of interventions. Dynamic programming and optimal control theory are optimisation techniques that are applied to identify the optimal reaction plans. The outcomes of the simulation indicate that there are significant decreases in the rate of reduction of the number of infections and consumption of resources. The proposed models provide the lawmakers with practical information that can be applied to them in times of outbreak and pandemic scenarios to make timely and data-driven decisions.

Keywords

Subject Classifications

31A1003C98

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