On Statistical Analysis of Eight Sexually Transmitted Diseases Using Categorical Analysis of Variance: A Case Study of the University of Nigeria Teaching Hospital

This paper focused on the statistical analysis of eight Sexually Transmitted Infections (STIs) reported in University Nigeria Teaching Hospital from 2010-2020. A population 20,704 patients was recorded to have contracted (8) selected STIs. Prevalence computed determine most prevalent STI. Two-way CATANOVA cross-classification ascertain age group and gender that suffer more each these infections. Logistic regression model fitted predict reproductive status The prevalence results showed Gonorrhea infection as for Chlamydia infections there were significant difference gender, interaction effects, effect Trichomoniases infection, Syphilis HIV but no effects Human Papillomavirus (HPV), Hepatitis B Virus Herpes percentage male suffers STIs is than female, 30-39 years any other people without history those them. an increase age, body mass index, blood pressure, sugar, bacteria quantity, associated with increased likelihood patient being infertile.