Logistic Regression modelling and Chi Square statistic to predicting chance of survival of STD in Ondo State, Nigeria

Abstract

Sexually Transmitted diseases are major problems in the health sector. Several researches have shown that it can shorten the lives of people and can cause serious morbidity. This research examined application of Chi Square Statistic and linear logistic regression model to predict the chances of survival among victims of Urinary Tract Infection and Gonorrhoea based on their age, gender and the disease type in Ondo State, Nigeria. Based on the data analysed, we were able to deduce that the male gender irrespective of the age has a greater chance of surviving any sexually transmitted disease. It is therefore recommended that the female sex irrespective of their age undergo constant examination for early detection of any sexually transmitted disease. It is also recommended that there should be sensitization programme for female on sex education irrespective of their age to enable them avoid the infection.

Keywords: Sexually Transmitted Disease, Logistic Regression, Odd Ratio, Urinary Tract Infection and Gonorrhoea.