A Compartmental Model for Chickenpox Transmission Dynamics Incorporating Control Interventions

  • Jibrin Danjuma Yahaya Department of Mathematics and Statistics, Confluence University of Science and Technology, Osara, Kogi State, Nigeria
  • Agbata Benedict Celestine Department of Mathematics and Statistics, Confluence University of Science and Technology, Osara, Kogi State, Nigeria
  • Ugo Donald Chukwuma Department of Mathematics, Enugu State University of Science and Technology, Agbani, Nigeria
  • Okofu Mary Bassey Department of Mathematics University of Nigeria, Nsukka, Nigeria
  • Acheneje Godwin Onuche Department of Mathematics Prince Abubakar Audu University, Anyigba, Nigeria
  • Jacob Funsho Omonile Department of Physics, Confluence University of Science and Technology, Osara, Kogi State, Nigeria
  • Emmanuel Ogala Department of Computer Science, College of Physical Sciences, Joseph Sarwuan Tarka University, Makurdi
Keywords: Chickenpox transmission, Mathematical modeling, Stability analysis, Sensitivity analysis, Numerical simulation

Abstract

Abstract: Chickenpox remains a highly contagious viral disease that poses significant public health challenges, particularly in populations with low vaccination coverage. Understanding its transmission dynamics is essential for designing effective control strategies. This study presents  a comprehensive mathematical model to analyze the spread of Chickenpox, incorporating key intervention measures such as vaccination, isolation, and treatment. The model categorizes the human population into six compartments: susceptible, exposed, infected, isolated, treated, and recovered individuals. A system of ordinary differential equations is employed to describe the interactions among these groups. The model is further examined through the determination of disease-free and endemic equilibrium states, and stability analysis is conducted to establish the conditions under which the disease can either be eliminated or persist within the population. Sensitivity analysis is performed to identified the most influential parameters affecting disease transmission, revealing that transmission rates, vaccination coverage, and recovery rates play critical roles. Numerical simulations are also carried out to evaluate the impact of various intervention strategies. The results demonstrate that increased vaccination coverage, timely isolation of infected individuals, and effective treatment significantly reduce the number of new infections and overall disease burden. The findings highlight the importance of integrated public health strategies in controlling Chickenpox transmission. This study provides valuable insights that can inform policy decisions and guide the implementation of effective disease prevention and control measures.

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Published
2026-07-16
How to Cite
Yahaya, J., Celestine, A., Chukwuma, U., Bassey, O., Onuche, A., Omonile, J., & Ogala, E. (2026). A Compartmental Model for Chickenpox Transmission Dynamics Incorporating Control Interventions. GPH-International Journal of Mathematics, 8(11), 21-51. https://doi.org/10.5281/zenodo.21396172

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