2025, Vol. 10, Issue 6, Part A
Mathematical model of sexual orientations in the presence of recovery centers
Author(s): Patrick Muriuki Kamuri, Cyrus Gitonga Ngari, Peter Wanjohi Njori and Jeremiah Savali Kilonzi
Abstract: Homosexuality has become a global trend both in
developing and developed countries. While it has been legalized in some
countries, it’s still illegal in others. In this paper, a comprehensive
mathematical model of sexual orientations with recovery centers was developed
using a set of ordinary differential equations and solved using Wolfram
Mathematica and the fourth-order Runge-Kutta method. The population was divided
into ten compartments; Males (M), Females (F), gays (G), lesbians (L),
heterosexual males (
Hm),
heterosexual females (
Hf),
bisexual males (
Bm),
bisexual females (
Bf),
recovery centers for males (
Rm)
and recovery centers for females (
Rf).
Positivity, boundedness, the homosexuality epidemic threshold, and equilibria
for the model were determined, and stabilities were investigated. Moreover,
control reproduction number and bifurcation analysis were also studied. The
sensitivity of the parameters was investigated using the partial rank
correlation coefficient (PRCC) method and Latin hypercube sampling (LHS).
Numerical simulation was done using MATLAB 45-ODE Solver and showed that
increasing homosexuality recruitment rates increased homosexuality in the
population, and vice versa. It was also established numerically that increasing
transfer rates from the bisexual classes to recovery centers increased the
heterosexual populations. In conclusion, the effective transfer to recovery
centers of the homosexual populations and low contact rates are most
significant in reducing the spread of homosexuality in the community.
DOI: 10.22271/maths.2025.v10.i6a.2053Pages: 18-28 | Views: 926 | Downloads: 18Download Full Article: Click Here
How to cite this article:
Patrick Muriuki Kamuri, Cyrus Gitonga Ngari, Peter Wanjohi Njori, Jeremiah Savali Kilonzi.
Mathematical model of sexual orientations in the presence of recovery centers. Int J Stat Appl Math 2025;10(6):18-28. DOI:
10.22271/maths.2025.v10.i6a.2053