Modeling of Eye Infection Transmitting by Conjunctivitis Adenovirus: Deterministic and Stochastic Approach

Authors

  • Rahim Ud din Department of Mathematics, School of Science, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand
  • Naveed Ahmad EIAS Data Science and BlockChain Lab, CCIS, Prince Sultan University, Riyadh 11586,Saudi Arabia
  • Sadique Ahmad EIAS Data Science and BlockChain Lab, CCIS, Prince Sultan University, Riyadh 11586,Saudi Arabia
  • Puntani Pongsumpun Department of Mathematics, School of Science, King Mongkut's Institute of Technology Ladkrabang, Bangkok, Thailand

DOI:

https://doi.org/10.29020/nybg.ejpam.v18i4.6364

Keywords:

Eye infection; Adenovirus; Sensitivity analysis; SITR model; NSFD scheme; Stochastic model.

Abstract

This study develops a mathematical model to investigate the early diagnosis and treatment of conjunctivitis caused by adenovirus, incorporating both deterministic and stochastic approaches to capture disease dynamics. The model’s fundamental properties, including boundedness and uniqueness, are analyzed to ensure reliability, and equilibrium points are established for the deterministic framework. The basic reproduction number is derived and subjected to sensitivity analysis to evaluate how key parameters influence the spread of infection. Numerical simulations, conducted using a nonstandard finite difference (NSFD) scheme for the deterministic model and stochastic methods for the probabilistic model, reveal that individuals with strong immune systems can recover without medical intervention, highlighting the critical role of immune strength in controlling disease transmission. These findings contribute to a deeper understanding of conjunctivitis dynamics and provide valuable insights for designing effective control strategies based on early diagnosis and treatment.

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Published

2025-11-05

Issue

Section

Mathematical Modeling and Numerical Analysis

How to Cite

Modeling of Eye Infection Transmitting by Conjunctivitis Adenovirus: Deterministic and Stochastic Approach. (2025). European Journal of Pure and Applied Mathematics, 18(4), 6354. https://doi.org/10.29020/nybg.ejpam.v18i4.6364