Authors :
Adesina, Oluwaseun A; Akinlade Yemisi. O; Fantola, Jubril O; Onatunji Adewale P
Volume/Issue :
Volume 8 - 2023, Issue 7 - July
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://tinyurl.com/ycxma8je
DOI :
https://doi.org/10.5281/zenodo.8224290
Abstract :
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.
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.
