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Commun. Math. Biol. Neurosci. 2024 (2024), Article ID 124

The effectiveness of travel restriction and vaccination for multi-region discrete-time SIRI epidemic model: optimal control approach

Samira Zouhri, Mohcine El Baroudi, Hassan Laarabi

Abstract

In this paper, we develop a multi-region discrete-time SIRI epidemic model, which describes the spatial-temporal spread of an infectious disease in a geographical domain divided into p regions and assumed to be connected and allow their people’s mobility. We introduce two control variables into our model to study the effectiveness of travel restriction and vaccination in limiting the spread of epidemic. We aim to reduce the number of infected individuals in all regions and minimize the cost of administering travel ban and vaccination. In addition, we propose an optimal control approach using the definition of a supplementary function that identifies the activation of travel restriction and vaccination in every region according to health authority decisions. Numerical results are presented where we test the spread of epidemic without any intervention, when travel restriction only is applied, and when vaccination is added.

Published
11 November 2024
Volume
2024 (2024)
License
CC BY 3.0

Copyright © 2024 Samira Zouhri, Mohcine El Baroudi, Hassan Laarabi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article

S. Zouhri, M. El Baroudi, H. Laarabi, The effectiveness of travel restriction and vaccination for multi-region discrete-time SIRI epidemic model: optimal control approach, Commun. Math. Biol. Neurosci. 2024 (2024), 124. https://doi.org/10.28919/cmbn/8008

BibTeX
@article{Zouhri2024,
  author  = {Zouhri, Samira and El Baroudi, Mohcine and Laarabi, Hassan},
  title   = {The effectiveness of travel restriction and vaccination for multi-region discrete-time SIRI epidemic model: optimal control approach},
  journal = {Commun. Math. Biol. Neurosci.},
  volume  = {2024},
  year    = {2024},
  pages   = {124},
  doi     = {10.28919/cmbn/8008}
}