OLADUTI OLUBIMPE MERCY picture
OLADUTI OLUBIMPE MERCY

Publication

Publisher:
 Annals.Computer Science Series Journal. Vol 18 (1): 99-105, June 2020. 18th Tome 1st Fasc
Publication Type:
 Published Research
Publication Title:
 MODELLING THE FETUS MORTALITY DUE TO ABORTION AMONG NIGERIA WOMEN:: A BINARY RESPONSE ANALYSIS
Publication Authors:
 Olubimpe M.. Oladuti
Year Published:
 2020
Abstract:
Termination of pregnancy occur due to sexual laissez-faire of the society in particular premarital sex, pressure from a sex partner not to use a contraceptive, poverty and low socio-economic status. The aim of the study was to investigate with the application of binary logit model the risk factors associated with the prevalence of abortion among Nigerian women on data extracted from 2013 Nigeria Demographic and Health Survey (NDHS). The results of the analysis shows that fetus mortality as a result of abortion depend on geo-political zone, location, level of education attainment , religion, forced sexual acts, total children ever born, age at first sexual initiation. It was also found that lack of knowledge about contraceptives use; household wealth index, ever heard of HIV/AIDS and being employed were associated with increased likelihood of abortion among Nigeria women. KEYWORDS: Pregnancy, Fetus mortality, Abortion, Risk factors, Binary logit, Nigeria, Demographic and Health Survey 
Publisher:
 Annals.Computer Science Series Journal. Vol 18 (1): 99-105, June 2020. 18th Tome 1st Fasc
Publication Type:
 Published Research
Publication Title:
 MODELLING THE FETUS MORTALITY DUE TO ABORTION AMONG NIGERIA WOMEN:: A BINARY RESPONSE ANALYSIS
Publication Authors:
 Olubimpe M.. Oladuti
Year Published:
 2020
Abstract:
Termination of pregnancy occur due to sexual laissez-faire of the society in particular premarital sex, pressure from a sex partner not to use a contraceptive, poverty and low socio-economic status. The aim of the study was to investigate with the application of binary logit model the risk factors associated with the prevalence of abortion among Nigerian women on data extracted from 2013 Nigeria Demographic and Health Survey (NDHS). The results of the analysis shows that fetus mortality as a result of abortion depend on geo-political zone, location, level of education attainment , religion, forced sexual acts, total children ever born, age at first sexual initiation. It was also found that lack of knowledge about contraceptives use; household wealth index, ever heard of HIV/AIDS and being employed were associated with increased likelihood of abortion among Nigeria women. KEYWORDS: Pregnancy, Fetus mortality, Abortion, Risk factors, Binary logit, Nigeria, Demographic and Health Survey 
Publisher:
 Journal Of Epidemiology And Global Health
Publication Type:
 Published Research
Publication Title:
 Investigating The Spatial Patterns Of Common Childhood Morbidity In Six Neighboring West African Countries
Publication Authors:
 Ezra Gayawan, Olabimpe Bodunde Aladeniyi, Olubimpe Mercy Oladuti, Paul Olopha, Samson Babatunde Adebayo
Year Published:
 2019
Abstract:
Children in developing countries have continued to suffer morbidity and mortality arising from a few illnesses. This study was designed to examine the within and between spatial variations in childhood morbidity from cough, fever, and diarrhea among six West African countries in a manner that transcends geographical boundaries. Data from six countries including their geographical boundaries were obtained from Demographic and Health Surveys. The spatial modelling was through Bayesian models and appropriate prior distributions were assigned to the different parameters of the model. Parameter estimation was through integrated nested Laplace approximation. Results show similar significant spatial distributions for the three illnesses, and they demonstrate that children in Benin Republic and Mali are less likely to suffer from these illnesses, whereas higher likelihood were obtained in the case of Cote d’Ivoire, Burkina Faso, Togo, and some parts of Ghana. The nonlinear effects of child’s age show that the risks of contracting the illnesses peak among children aged 10–14 months while, as the mothers advance in age, their children have reduced risks. Breastfeeding and a woman’s working status and education are among the significant factors that either aggravate or prevent these illnesses in the West African countries. The results pinpointed regions of the West African countries with high and low risks of the illnesses, and this would enhance intervention strategies of policy makers and international donors in the subregion. 
Publisher:
 Journal Of Epidemiology And Global Health
Publication Type:
 Published Research
Publication Title:
 Investigating The Spatial Patterns Of Common Childhood Morbidity In Six Neighboring West African Countries
Publication Authors:
 Ezra Gayawan, Olabimpe Bodunde Aladeniyi, Olubimpe Mercy Oladuti, Paul Olopha, Samson Babatunde Adebayo
Year Published:
 2019
Abstract:
Children in developing countries have continued to suffer morbidity and mortality arising from a few illnesses. This study was designed to examine the within and between spatial variations in childhood morbidity from cough, fever, and diarrhea among six West African countries in a manner that transcends geographical boundaries. Data from six countries including their geographical boundaries were obtained from Demographic and Health Surveys. The spatial modelling was through Bayesian models and appropriate prior distributions were assigned to the different parameters of the model. Parameter estimation was through integrated nested Laplace approximation. Results show similar significant spatial distributions for the three illnesses, and they demonstrate that children in Benin Republic and Mali are less likely to suffer from these illnesses, whereas higher likelihood were obtained in the case of Cote d’Ivoire, Burkina Faso, Togo, and some parts of Ghana. The nonlinear effects of child’s age show that the risks of contracting the illnesses peak among children aged 10–14 months while, as the mothers advance in age, their children have reduced risks. Breastfeeding and a woman’s working status and education are among the significant factors that either aggravate or prevent these illnesses in the West African countries. The results pinpointed regions of the West African countries with high and low risks of the illnesses, and this would enhance intervention strategies of policy makers and international donors in the subregion. 
Publisher:
 Report And Opinion
Publication Type:
 Journal
Publication Title:
 Weibull-Halfnormal Mixture Distribution And Its Properties
Publication Authors:
 Akomolafe. A.A, Marad, A. And Oladuti, O.M
Year Published:
 2018
Abstract:
This research study the generalization of Weibull and Half Normal Distribution (WHND) called Weibull Half Normal Distribution (WHND) through its distribution function and mathematical derivation of its moment, reliability, cumulative distribution function, and hazard rate function, probability density function. The distribution was found to generalize some known distributions thereby providing a great flexibility in modeling heavy tailed, skewed and bimodal distributions. 
Publisher:
 Report And Opinion
Publication Type:
 Journal
Publication Title:
 Weibull-Halfnormal Mixture Distribution And Its Properties
Publication Authors:
 Akomolafe. A.A, Marad, A. And Oladuti, O.M
Year Published:
 2018
Abstract:
This research study the generalization of Weibull and Half Normal Distribution (WHND) called Weibull Half Normal Distribution (WHND) through its distribution function and mathematical derivation of its moment, reliability, cumulative distribution function, and hazard rate function, probability density function. The distribution was found to generalize some known distributions thereby providing a great flexibility in modeling heavy tailed, skewed and bimodal distributions. 
Publisher:
 Orin Journal Of Science
Publication Type:
 Published Research
Publication Title:
 Modeling Age At First Pregnancy Among Teenage Women In Nigeria: A Survival Analysis Approach
Publication Authors:
 Odeniya1, O. M., Abiodun2, A. A. And Oyejola3, B. A.
Year Published:
 2014
Abstract:
Cox PH model has been the most popular model known in literature for survival time data when the baseline hazard function is unspecified. Discrete time model is used when only the interval in which the event of failure occurs is known or the event itself occurs in discrete time scale. In addition to the observed factors collected on individuals, there often exist unobservable covariates in the data at cluster level which if not accounted for during analysis, may lead to loss of information and biased estimates. This paper uses Cox model and discrete-time logit model to investigate the effect of some covariates (risk factors) on the hazard of age at first pregnancy for teenagers. The analysis explicitly account for the unobserved heterogeneity (frailty) at the level of ethnicity which was included as a random effect in the models. Comparison was made between the models with and without random effects to know which one performs best. Teenage pregnancies were viewed within the broader socio-economic and socio-cultural environment in which the adolescents operate. The results of the analysis reveals that the teenage pregnancy depend on geopolitical zone, location of residence, level of educational attainment, marital status, religion, circumcision, sex in exchange of gift, the age of first sexual initiation, HIV/AIDS status and the use of contraceptives. 
Publisher:
 Data. ICASTOR
Publication Type:
 Published Research
Publication Title:
 Nested Frailty Model For Infant Mortality Data.
Publication Authors:
 A. A. Abiodun, B. A. Oyejola, O. I. Adeniyi & O. M. Odeniya
Year Published:
 2014
Abstract:
Understanding the observed and unobserved factors associated with mortality among children plays a major role in designing effective interventions leading to reduction in its prevalence. This article presented a threelevel nested frailty model under discrete-time survival model representation, using survey data from 2008 Nigeria Demographic Health Survey (NDHS), collected via a hierarchically clustered sampling scheme. It investigated rural urban differentials via observed individual factors that were thought to be associated with infant mortality and also assessed the association structure at the levels of clustering. The model provided parameter estimates as well as estimates of the random effects variances at all the levels. Clear evidence of rural-urban inequalities in mortality was found among Nigerian infants. It was also found that individual child unobserved heterogeneity, community and state frailty effects were of importance and that inclusion of individual child unobserved heterogeneity gave more reliable results of modeling infant mortality than using only aggregated random effects at community and state levels.