Mathematical Modelling of Conjunctivitis Viral Disease: Case of Burundi

In this paper, an SEIR mathematical model of conjunctivitis viral disease is formulated. The disease free equilibrium (DFE) and the endemic equilibrium points are investigated. The basic reproduction number is computed using the next generation matrix method and the local stability of the disease free equilibrium is investigated. This threshold characterizes the growth rate of an epidemic outbreak and shows that if R 0 1 the DFE is locally stable and unstable when R 0 >1 . We analyze the sensitivity of the model according to its different parameters. Numerical simulations were performed using the defined parameters to support the theoretical results and compared to one from the real data. The results show the suitability of the chosen model of conjunctivitis viral disease that occurred in Burundi for the investigated period of one month.

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Publication Details

Journal
Open Journal of Applied Sciences
Published
2025-01-01
DOI
https://doi.org/10.4236/ojapps.2025.155096
Primary Topic
COVID-19 epidemiological studies
Type
article
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article

Mathematical Modelling of Conjunctivitis Viral Disease: Case of Burundi

Vianney Mbazumutima, Léonard Todjihounde, Adama Dembélé, Pascaline Nshimirimana et al.
Open Journal of Applied Sciences
COVID-19 epidemiological studies
article

Mathematical Modelling of Conjunctivitis Viral Disease: Case of Burundi

Vianney Mbazumutima, Léonard Todjihounde, Adama Dembélé, Pascaline Nshimirimana, Fabiola Ndayiragije
article en

Abstract

In this paper, an SEIR mathematical model of conjunctivitis viral disease is formulated. The disease free equilibrium (DFE) and the endemic equilibrium points are investigated. The basic reproduction number is computed using the next generation matrix method and the local stability of the disease free equilibrium is investigated. This threshold characterizes the growth rate of an epidemic outbreak and shows that if R 0 1 the DFE is locally stable and unstable when R 0 >1 . We analyze the sensitivity of the model according to its different parameters. Numerical simulations were performed using the defined parameters to support the theoretical results and compared to one from the real data. The results show the suitability of the chosen model of conjunctivitis viral disease that occurred in Burundi for the investigated period of one month.

Open Journal of Applied SciencesVol. 15(05)
Openalex Percentile: Top 86%
COVID-19 epidemiological studies
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