Quantitative analysis of the Chandipura virus epidemic in Gujarat: modeling, stability analysis and optimal control strategies using real-time data

Authors

  • M. Sangavi Department of Mathematics, Alagappa University, Karaikudi, Tamilnadu, India
  • M. Mullai Center for Distance and Online Education, Alagappa University, Karaikudi, Tamilnadu, India.; INTI International University, Nilai campus, Malaysia.
  • Grienggrai Rajchakit Department of Mathematics, Faculty of Science, Maejo University, Chiang Mai 50290, Thailand.

Abstract

This study investigates the dynamics of the Chandipura virus (CHPV), a significant concern for public health due to its impact on disease spread and control. Understanding the behavior and transmission of CHPV is crucial for developing effective management and intervention strategies. Through advanced modeling techniques, this research aims to provide insights into the virus's spread and potential control measures.

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Published

2026-08-30

Issue

Vol. 33 No. 3 (2026): Nonlinear Studies

Section

Articles

License

Copyright (c) 2026 M. Sangavi, M. Mullai, Grienggrai Rajchakit

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

How to Cite

Quantitative analysis of the Chandipura virus epidemic in Gujarat: modeling, stability analysis and optimal control strategies using real-time data. (2026). Nonlinear Studies, 33(3), 1125-1145. https://www.nonlinearstudies.com/index.php/nonlinear/article/view/4469