Statistical Modeling the Seroprevalence of Hepatitis B among the pregnant women attending Specialist hospital, Idah, kogi state, Nigeria

Background Hepatitis B Virus has being a major global public health concern which has not historically been given much attention. In spite of increasing reports of HBV in Nigeria, little or no data exists on this subject in idah. Therefore, we determined the statistical model of prevalence of hepatitis B among pregnant women attending ante natal clinic at Idah, Kogi State, Nigeria. Methods This is a hospital based cross-sectional study that adopt survey design among pregnant women attending their first antenatal clinics at specialist hospital, idah, kogi state, Sera samples obtained from 245 of consented pregnant women were screened for HBsAg using the commercial rapid test. A structured questionnaire was used to collect information on patients’ demographic variables and probable risk factors for HBV transmission while chi squares and logistics regression model were used to analyze the data. Results The logistic regression model estimate the relationship between the identified risk factors and the likelihood of HBV infection, as the odd ratio (0.000453) for HBV infection with CI (1.61E-05 to 4.51E-03) as 6.93 is the odd ratio of pregnant women who share sharp objects with CI (1.62 to 39.8). The odd ratio of pregnant women that consumption alcohol is 6.83 with CI (1.62 to 39.8) while Pregnant women with tribal marks is estimated to have an odd ratio of 11.9 with CI (2.55 to 87.9), the odd ratio of pregnant women that has history of sexually transmitted diseases (STDs) is 5.82 with CI (1.36 to 28.2). The odd of the pregnant women with multiple sexual partners is 29.4 with CI (5.0 to 231). All the predictors show odds ratios significantly greater than 1, indicating they are associated with an increased likelihood of HBV with a neglible baseline of HBV infection, but statistically significant. Conclusion There is significant but negligible prevalence rate of HBV among the pregnant women with higher risk among pregnant women having tribal marks or pregnant women with multiple sexual partners, The HBV model is highly reliable for predicting the infection and rarely misclassifies healthy individuals.