COMPUTATIONAL MODELING FOR EARLY STAGE SYPHILIS INFECTION

Abstract

Computational modeling refers to the use of computer programs to simulate and study the behavior
of systems using an algorithmic approach. Sexual Transmitted Diseases (STD) contributes major in
the death of young adults in Nigeria, about 2.1% occur every year. The number seems to be growing
rapidly for various reasons, such as negligence towards sex practices and life style. In this paper,
computational modeling on the transmission dynamics and control of early stage of syphilis infection
was built while incorporating sex education, voluntary counseling and treatment. The method
adapted first we designed, developed, formulate a mathematical equations for the compartment.
Equations were converted into an algorithm and subsequent simulation in MATLAB ODE 45, 2023..
We found that changes have different impacts depending on the factors promoting the transmission
dynamics. The parameter used were presented on a graph size using the control measures, k =
0.9, β = 0.9, σ1 = 0.50, σ1 = 0.9, ᴪ = 0.9, ε1= 0.9, ε2 = 0.9, ???? = 0.9, τ1 = 0.7, τ2 = 0.75, and τ3 =
0.75 which confirmed the accuracy and reliability of the developed model. The study shows a
commendable pattern of increasing awareness, active treatment, and sustainable counseling
towards guiding future initiatives. Different methods and materials are urgently needed to educate
the population about early detection of Syphilis. These may include posters with typical diagram,
television, and other scenarios of communication. Syphilis remains preventable if individuals can
work on their high-risk sexual behaviours. The developed model has pave way for valuable insights
into informed decisions concerning health related sexual problem. There is urgent need to take
good preventive measures especially among sex age groups.