Numerical Investigation of a Chlamydia Epidemic Model
In this article, we analysed the numerical study of five compartmental epidemic model with Chlamydia infection. The population is divided into five classes: susceptible, exposed, infected in the asymptomatic phase, infected in the symptomatic phase and recovered (SEIAISR). This model was shown to have two equilibrium points: a disease-free equilibrium and an endemic equilibrium. The local stability was defined using the computed effective reproduction number R0, as well as the sensitivity of variables. When R0 < 1, the disease-free equilibrium ( ) is locally asymptotically stable, and if R0 > 1, the endemic equilibrium ( ) is locally asymptotically stable. This model is solved numerically using three numerical techniques: forward Euler, RK-4, and proposed non-standard finite difference (NSFD) techniques. The (NSFD) technique becomes a more efficient and reliable numerical technique than the forward Euler and RK-4 techniques. The NSFD technique retains all essential characteristics of a continuous (SEIAISR) chlamydia epidemic model, like positivity and stability of equilibria. In contrast, well-known forward Euler and RK-4 techniques cannot sustain these characteristics. Furthermore, the NSFD technique is independent of time step size, while forward Euler and RK-4 depend on the time step size. The numerical simulations with a numerical test were represented to validate all the results.
Authors
- Muhammad Rafiq (ORCID: https://orcid.org/0000-0002-4376-9392)
- Shah Zeb (ORCID: https://orcid.org/0000-0002-5156-9243)
- Siti Ainor Mohd Yatim
- Ayesha Kamran (ORCID: https://orcid.org/0009-0000-6309-4233)
Institutions
- Universiti Sains Malaysia (MY)
- Namal University (PK)
- University of Management and Technology (PK)
Publication Details
- Journal
- Malaysian Journal of Fundamental and Applied Sciences
- Published
- 2025-04-23
- DOI
- https://doi.org/10.11113/mjfas.v21n2.4085
- Citations
- 8
- Primary Topic
- Reproductive tract infections research
- Type
- article
- Field-Weighted Citation Impact
- 9.46
Funders
- Universiti Sains Malaysia