Bayesian Analysis of Infant Mortality in Oyo State, Nigeria

Authors : Adesina, Oluwaseun A; Akinlade Yemisi. O; Fantola, Jubril O; Onatunji Adewale P

Volume/Issue : Volume 8 - 2023, Issue 7 - July

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Decrease in Infant Population (IP) is a product of Prenatal and Antenatal Attention (PAA) available for women of reproductive age. This does not only become a concern to health policy makers but also to pregnant women in Oyo State. Despite many Maternity health centres (MHCs), there is no adequate PAA and appropriate model for IP measured as infant mortality that can statistically investigate the effects of PAA in Oyo State. This study is aimed to develop Bayesian Binomial logit model for infant mortality when little information available about PAA. The posterior Odds ratios obtained reveal that probability of increasing PAA increases the probability of infant survival after birth. The BBLM derived for IP is adequate and that health impacts of government health post and private clinic are not probabilistically related to infant survival before and after birth in Oyo State. Health policy makers at all levels of government should make adequate provision of health facilities and employment of medical personnels for MHCs in Oyo State in order to increase the chance of infant survival at birth.

Keywords : Bayesian Binomial logit model, Posterior Odds Ratio, Infant Mortality, Prenatal and Antenatal, Oyo State health Centres.


Paper Submission Last Date
30 - November - 2023

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