Optimal Control of the Coronavirus Pandemic with Impacts of Implemented Control Measures
Keywords:
Coronavirus, Epidemiological model, Objective functional, Optimality system, Pontryagin’s maximum principle, Disease prevalenceAbstract
This paper considers the current global issue of containing the coronavirus pandemic as an optimal control problem. The goal is to determine the most advantageous levels of effectiveness of the various control and preventive measures that should be attained in order to cost effectively drive the epidemic towards eradication within a relatively short time. Thus, the problem objective functional is constructed such that it minimizes the prevalence as well as the cost of implementing the various control measures subject to a model for the disease transmission dynamics which incorporates the existing controls. The optimality system of the model is derived based on Pontryagin's maximum principle while the resulting system is solved numerically using the Runge-Kutta fourth order scheme with forward-backward sweep approach. Findings from our results show that the new cases and the prevalence of the disease can be remarkably reduced in a cost effective way, if the specified optimal levels of effectiveness of the various preventive and control measures are upheld continuously for at least a month. Moreover, the results also show that the disease can be eventually eradicated if these effectiveness levels are sustained over a reasonable length of time.
Published
How to Cite
Issue
Section
Copyright (c) 2022 Journal of the Nigerian Society of Physical Sciences

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Peter Urane Achimugwu, Mathew Ngugi Kinyanjui, David Mumo Malonza, Analysis of a fractional order climate model due to excessive emission and accumulation of carbon dioxide in the atmosphere , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 4, November 2023
- Rauf I. Rauf, Ayinde Kayode, Bello A. Hamidu, Bodunwa O. Kikelomo, Alabi O. Olusegun, Enhanced methods for multicollinearity mitigation in stochastic frontier analysis estimation , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 4, November 2024
- Mahesh Kumar Singh, Pushpa Choudhary, Arun Kumar Singh, Pushpendra Singh, LWRNPIP: Design of a light weight restrictive non-fungible token based on practically unclonable functions via image signature patterns , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 4, November 2025
- Gabriel James, Anietie Ekong, Etimbuk Abraham, Enobong Oduobuk, Peace Okafor, Analysis of support vector machine and random forest models for predicting the scalability of a broadband network , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 3, August 2024
- L. Adamu, N. Hussaini, An Epidemic Model of Zoonotic Visceral Leishmaniasis with Time Delay , Journal of the Nigerian Society of Physical Sciences: Volume 1, Issue 1, February 2019
- Kabiru Lere Najib, Adamu Shitu Hassan, Food and environmental degradation as causative agents of honey bee colonies decline: Mathematical model approach , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 4, November 2021
- Gabriel James, Ime Umoren, Anietie Ekong, Saviour Inyang, Oscar Aloysius, Analysis of support vector machine and random forest models for classification of the impact of technostress in covid and post-covid era , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 3, August 2024
- Adeyemi Olukayode Binuyo, Eigenvalue Elasticity and Sensitivity Analyses of the Transmission Dynamic Model of Corruption , Journal of the Nigerian Society of Physical Sciences: Volume 1, Issue 1, February 2019
- Paavithashnee Ravi Kumar, Majid Khan Majahar Ali, Olayemi Joshua Ibidoja, Identifying heterogeneity for increasing the prediction accuracy of machine learning models , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 3, August 2024
- Tolulope Latunde, Opeyemi Odunayo Esan, Joseph Oluwaseun Richard, Damilola Deborah Dare, Analysis of a Stochastic Optimal Control for Pension Funds and Application to Investments in Lower Middle-Income Countries , Journal of the Nigerian Society of Physical Sciences: Volume 2, Issue 1, February 2020
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Omowumi F. Lawal, Tunde T. Yusuf, Afeez Abidemi, On mathematical modelling of optimal control of typhoid fever with efficiency analysis , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 4, November 2024

