ABSTRACT
This project work focuses on how
mathematical modeling can be used to reduce the rate of typhoid fever in Michael
Okpara University of Agriculture, Umudike. From the data results, it was
observed that the rate of infection was fluctuating from 2009 -2012 but
increased geometrically in 2013. We discovered that the prevalence of typhoid
fever infection in MOUAU is high. Also, it was noticed that the prevalence is
high between 15-44 years of age. In a bid to reduce the infectivity rate, an
S.E.I.R model was developed. The entire population was divided into four
compartments namely: susceptible (S), exposed (E), infective (I) and recoveries
(R). The model was solved using ordinary differential equation and numerical
approach. The equilibrium points of the model system are presented and their
stability is investigated.
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EFUGHI, E (2023). A Mathematical Model For Typhoid Fever Infection. Mouau.afribary.org: Retrieved Dec 22, 2024, from https://repository.mouau.edu.ng/work/view/a-mathematical-model-for-typhoid-fever-infection-7-2
EBELE, EFUGHI. "A Mathematical Model For Typhoid Fever Infection" Mouau.afribary.org. Mouau.afribary.org, 08 Feb. 2023, https://repository.mouau.edu.ng/work/view/a-mathematical-model-for-typhoid-fever-infection-7-2. Accessed 22 Dec. 2024.
EBELE, EFUGHI. "A Mathematical Model For Typhoid Fever Infection". Mouau.afribary.org, Mouau.afribary.org, 08 Feb. 2023. Web. 22 Dec. 2024. < https://repository.mouau.edu.ng/work/view/a-mathematical-model-for-typhoid-fever-infection-7-2 >.
EBELE, EFUGHI. "A Mathematical Model For Typhoid Fever Infection" Mouau.afribary.org (2023). Accessed 22 Dec. 2024. https://repository.mouau.edu.ng/work/view/a-mathematical-model-for-typhoid-fever-infection-7-2