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

Chi-square Test, Contigency Table, Odds Ratio, Significance Level, Prediction

APA Style

Nnaemeka Martin Eze, Chimeremeze Davidson Sibigem, Oluchukwu Chukwuemeka Asogwa, Chinonso Michael Eze, Samson Offorma Ugwu, et al. (2023). On Statistical Analysis of Eight Sexually Transmitted Diseases Using Categorical Analysis of Variance: A Case Study of the University of Nigeria Teaching Hospital. Science Journal of Applied Mathematics and Statistics, 11(1), 1-16. https://doi.org/10.11648/j.sjams.20231101.11

ACS Style

Nnaemeka Martin Eze; Chimeremeze Davidson Sibigem; Oluchukwu Chukwuemeka Asogwa; Chinonso Michael Eze; Samson Offorma Ugwu, et al. On Statistical Analysis of Eight Sexually Transmitted Diseases Using Categorical Analysis of Variance: A Case Study of the University of Nigeria Teaching Hospital. Sci. J. Appl. Math. Stat. 2023, 11(1), 1-16. doi: 10.11648/j.sjams.20231101.11

AMA Style

Nnaemeka Martin Eze, Chimeremeze Davidson Sibigem, Oluchukwu Chukwuemeka Asogwa, Chinonso Michael Eze, Samson Offorma Ugwu, et al. On Statistical Analysis of Eight Sexually Transmitted Diseases Using Categorical Analysis of Variance: A Case Study of the University of Nigeria Teaching Hospital. Sci J Appl Math Stat. 2023;11(1):1-16. doi: 10.11648/j.sjams.20231101.11

Copyright © 2023 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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