A Mathematical Model For Typhoid Fever Infection:- Efughi Mercy E.
ABSTRACT
This project
work focuses on how mathematical modeling can be used to reduce the rate ol
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 (2024). A Mathematical Model For Typhoid Fever Infection:- Efughi Mercy E.. Mouau.afribary.org: Retrieved Nov 17, 2024, from https://repository.mouau.edu.ng/work/view/a-mathematical-model-for-typhoid-fever-infection-efughi-mercy-e-7-2
EBELE, EFUGHI. "A Mathematical Model For Typhoid Fever Infection:- Efughi Mercy E." Mouau.afribary.org. Mouau.afribary.org, 20 Feb. 2024, https://repository.mouau.edu.ng/work/view/a-mathematical-model-for-typhoid-fever-infection-efughi-mercy-e-7-2. Accessed 17 Nov. 2024.
EBELE, EFUGHI. "A Mathematical Model For Typhoid Fever Infection:- Efughi Mercy E.". Mouau.afribary.org, Mouau.afribary.org, 20 Feb. 2024. Web. 17 Nov. 2024. < https://repository.mouau.edu.ng/work/view/a-mathematical-model-for-typhoid-fever-infection-efughi-mercy-e-7-2 >.
EBELE, EFUGHI. "A Mathematical Model For Typhoid Fever Infection:- Efughi Mercy E." Mouau.afribary.org (2024). Accessed 17 Nov. 2024. https://repository.mouau.edu.ng/work/view/a-mathematical-model-for-typhoid-fever-infection-efughi-mercy-e-7-2