Atinuke O. Adebanji

Kwame Nkrumah University Of Science and Technology | KNUST · Department of Statistics & Actuarial Science

The nature of paratransit services makes for increased uncertainty in trip time, leading to reported unreliability and dissatisfaction by the users. While providing travel information has proved helpful in formal bus services and has been recommended for paratransit setup, little is reported about efforts at providing information to paratransit use...

Exclusive Breastfeeding (EBF) for the first six months of life is recommended by the World Health Organization (WHO) to ensure the health of the infant, but there is still debate surrounding the subject in many African countries, including Chad. Non-exclusive breastfeeding in the first six months of life is responsible for 1.4 million deaths and 10...

Objectives Ghana’s quest to reduce neonatal mortality, in hospital facilities and communities, continues to be a nightmare. The pursuit of achieving healthy lives and well-being for neonates as enshrined in Sustainable Development Goal three lingered in challenging hospital facilities and communities. Notwithstanding that, there have been increasin...

Introduction; Traffic-related air pollution (TRAP) is a serious public health risk in today's cities, causing premature death and a wide range of global diseases such as respiratory, cardiovascular, and neurological disorders. The study assessed the impacts of vehicle emissions exposure on the risk of health burden for residents near major urban in...

Background: Recent studies reveal that around 1.9 million stillbirths occur annually worldwide, with Sub-Saharan Africa having among the highest cases. Some Sub-Saharan African countries, including Ghana, failed to meet Millennium Development Goal 5 (MDG5) by 2015 and may struggle to meet Sustainable Development Goal 3 (SDG3) despite maternal healt...

Probability distributions offer the best description of survival data and as a result, various lifetime models have been proposed. However, some of these survival datasets are not followed or sufficiently fitted by the existing proposed probability distributions. This paper presents a novel Kumaraswamy Odd Ramos-Louzada-G (KumORL-G) family of distr...

Gait speed is an essential predictor of functional and cognitive decline in older adults. The study aimed to investigate the gait speed of older adults in Ghana and South Africa and to determine its associated factors, as the Sub-Saharan representatives in the World Health Organization’s Study on Global AGEing in Older Adults (SAGE). A secondary an...

Introduction Multilevel models have gained immense popularity across almost every discipline due to the presence of hierarchy in most data and phenomena. In this paper, we present a systematic review on the adoption and application of multilevel models and the important information reported on the results generated from the use of these models. Me...

The study delves into how vehicle engine characteristics impact the release of air pollutants from various vehicle fleets in Lagos, Nigeria. It involved the direct measurement of emissions from the exhaust pipes of 88 vehicles using gas analyzers. The vehicle fleet encompassed motorcycles, tricycles, private cars, minibuses, large buses, and trucks...

Expectation-Maximization (EM) is a popular method for estimating parameters of the Poisson-Hidden Markov Model (P-HMM). However, over-dispersion in comparison to the Poisson distribution remains a concern. This study developed a Bayesian method to Poisson count models. The study compares the Mean Square Errors and sufficiency of the EM to the Gibbs...

Background Epilepsy is a brain disease that involves recurrent unprovoked seizures. Individuals with epilepsy typically carry 2 burdens: misunderstandings and stigma attached to the condition, and the symptoms and disabilities associated with it. The perception and attitude of communities towards people living with epilepsy (PLWE) have been evaluat...

Measles remains one of the leading causes of death among young children globally, even though a safe and cost-effective vaccine is available. Vaccine hesitancy and social response to vaccination continue to undermine efforts to eradicate measles. In this study, we consider data about measles vaccination and measles prevalence in Germany for the yea...

The generalized Pareto distribution is one of the most important distributions in statistics of extremes as it has wide applications in fields such as finance, insurance, and hydrology. This study proposes two new methods for estimating the shape parameter of the generalized Pareto distribution (GPD). The proposed methods use the shrinkage principl...

Traffic-related air pollution (TRAP) is a serious public health risk in today's cities, causing premature death and a wide range of global diseases such as respiratory, cardiovascular, and neurological disorders. The study assessed the impacts of vehicle emissions exposure on the risk of health burden for residents near major urban intersections in...

Several standard distributions can be used to model lifetime data. Nevertheless, a number of these datasets from diverse fields such as engineering, finance, the environment, biological sciences, and others may not fit the standard distributions. As a result, there is a need to develop new distributions that incorporate a high degree of skewness an...

In this study, we have proposed a new generator called the Odd Ramos-Louzada Generator (ORL-G), which can extend many well-known distributions by applying the T-X method. Some of its basic statistical properties such as the quantile function, the non-central moments, and Renyi entropy are also investigated. The ORL-G has the ability to model symme...

Background: The number of monkeypox cases is rising globally, but it’s unclear how many instances there will be in the near future. The disease has been one of the major problems for sub-Saharan Africans in the past few years. This study seeks to suggest optimal strategies for curbing the disease in Ghana and preventing future occurrences. Methods:...

Paratransit trips on minibus vehicles have reportedly been unreliable, and users are unsatisfied with the quality of service they receive. Providing travel-related information, such as travel time information and introducing interventions along the roadway, may improve service quality and user experiences. To do this, there is a need to understand...

Emissions from vehicular traffic are one of the key drivers of urban environmental air pollution, degrading the ambient air quality in many African cities and across the globe. This study sought to assess the impact of traffic mobility measures on the emission levels of air pollutants from vehicle exhaust in Lagos, Nigeria. Traffic flow and vehicle...

Overweight/obesity prevalence is on the increase in epidemic proportions across Low- and Middle-Income countries (LMICs). The public health burden associated with obesity/overweight cannot be underestimated due to its association with chronic health outcomes. This study investigated the individual- and community level risk factors for obesity/overw...

The perception and behavior of the public is key in reducing Traffic-related air pollution health burdens which has become an increasingly alarming problem in many cities across the globe. The study assessed the perception of the public about vehicle traffic emissions and the health hazard associated with them in Lagos, Nigeria using structured que...

Background: The number of monkeypox cases is rising globally, but it’s unclear how many instances there will be in the near future. The disease has been one of the major problems for sub-Saharan Africans in the past few years. Methods: A deterministic mathematical model incorporating optimal controls has been developed in this research to investiga...

Noise pollution is one of Ghana’s environmental risks and it has become the norm in metropolitan areas to the point where residents in these locations experience noise nuisance and may be at risk of hearing loss. Most developed and developing countries have established traffic noise standards as a control mechanism to reduce traffic noise exposure...

Introduction: Misfiling remains a substantial challenge in data management in various institutions of higher learning. It has been asserted that one in every ten documents or files stored becomes immediately lost forever, due to inadequate filing techniques and practices. The results of this canker primarily are a high-profile failure in accountabi...

This study was undertaken to fill the information gap by exploring pedestrian behavior at footbridges in the Greater Accra and Kumasi Metropolitan areas of Ghana. Further, the study modelled the behavior of 69,840 pedestrians at the footbridges using Structural Equation Modeling (SEM). Pedestrians were observed as users and non-users of seven selec...

Monitoring is a major step in policy analysis used to assess whether a policy is actually working as desired. We provide a general policy monitoring approach based on Bayesian forecasting models. These are employed to predict the evolution of relevant monitoring variables over time and support expected utility calculations to assess the efficiency...

Footbridges reduce pedestrian-vehicular interaction and the incidence of pedestrian crashes. Their use significantly reduce the incidence of pedestrian crashes along major highways in low and middle-income countries like Colombia, Ghana, Jordan, Malaysia, and Nigeria. This study seeks to investigate the usage of footbridges in Ghana. A survey was c...

Prediction of COVID-19 incidence and transmissibility rates are essential to inform disease control policy and allocation of limited resources (especially to hotspots), and also to prepare towards healthcare facilities demand. This study demonstrates the capabilities of nonlinear smooth transition autoregressive (STAR) model for improved forecastin...

Small sample size or large number of manifest variables had been shown to affect estimators of structural equation modelling (SEM). This poses problems in a form of matrix singularity, non-convergence, unreliable results and rejection of good models. Although some estimators do better than others, all of them do better with increase in sample size,...

Purpose This study aims to assess dietary intake and prevalence of metabolic syndrome (MetS) among tanker truck drivers in the Kumasi metropolis, Ghana. Design/methodology/approach A cross-sectional study design enrolled 212 fuel tanker drivers. Sociodemographic, anthropometric, dietary and biochemical data were collected. MetS was assessed using...

Electronic learning (e-learning) swiftly became the essential mode of teaching during the COVID-19 pandemic. Higher Education Institutions had to immediately migrate all in-person classes online. This posed some learning challenges to a lot of students especially those residing in more remote locations with inadequate online learning devices and po...

Background Climatic factors have been shown to influence communicable disease dynamics especially in tropical regions where temperature could swing from extreme heat and dryness to wet and cold within a short period of time. This is more pronounced in the spread of airborne diseases. In this study, the effect of some local weather variables (averag...

Purpose The purpose of the study was to assess the association between iron intake and anaemia during pregnancy as well as estimate the prevalence and magnitude of anaemia in pregnancy. Design/methodology/approach A retrospective case-control study was conducted on 383 postnatal women at four health-care facilities. Data on iron supplementation an...

Identifying the most parsimonious model in structural equation modelling (SEM) is of utmost importance and the appropriate power estimation methods minimize the probabilities of Type I and Type II errors. The power of a test depends on the sample size, Type I error, degrees of freedom and effect size. The effect size choice for power analysis under...

Objective Identifying hot spots for the overweight aids in effective public health interventions due to the associated public health burden and morbidities. This study, therefore aimed to explore and determine the spatial disparities in the overweight/obesity prevalence among women in Ghana. The study also aims at modelling the average body mass in...

The study focused on the Generalized Pareto Distribution (GPD) under the Peak Over Threshold approach (POT). Twenty-one estimation methods were considered for extreme value modeling and their performances were compared. Our goal is to identify the best method in various conditions by the use of a systematic simulation study. Some other estimators w...

The purpose of the study was to examine the causal relationship between teachers' emotional intelligence, job satisfaction, professional identity, and work engagement. And to achieve this purpose, a questionnaire consisting of four scales was administered to 260 teachers selected from the Adentan Municipal in the Greater Accra Region. Exploratory f...

This study compared a ridge maximum likelihood estimator to Yuan and Chan (2008) ridge maximum likelihood, maximum likelihood, unweighted least squares, generalized least squares, and asymptotic distribution-free estimators in fitting six models that show relationships in some noncommunicable diseases. Uncontrolled hypertension has been shown to be...

The prevalence rate of stillbirth is ten times higher in developing countries relative to developed countries with a 2016 rate of 18 percent in Ghana. This study employed the Quadratic Discriminant Function for discriminating and classifying of pregnancy outcomes based on some predictors. The study further examined the sensitivity of the Quadratic...

In this study, we propose a new information criterion for model selection in univariate time series analysis. This is done by weighting the penalty terms of the three most commonly used information criteria (i.e. Akaike Information Criterion (AIC), Schwarz Information Criterion (SIC) and Hannan Quinn Information Criterion (HQ)). The penalties of th...

The use of discrete spatial-statistical methods for poverty analyses is important, especially in light of the fact that living standards surveys are generally dominated by categorical observations made at several locations. The proximity of these observations imposes geographical structure on the data. This study presents ordinal geo-statistical mo...

In this study we consider the problem of classifying a new observation into one of the known groups (pi; i = 1;2) independently distributed multivariate normal when both groups are described by equal mean vectors. The small sample size and large number of parameters performance of four equal mean discriminant functions (Bartlett and Please method (...

In this study we consider the problem of classifying a new observation into one of the known groups (pi; i = 1;2) independently distributed multivariate normal when both groups are described by equal mean vectors. The small sample size and large number of parameters performance of four equal mean discriminant functions (Bartlett and Please method (...

This study investigates the asymptotic performance of the Quadratic Discriminant Function (QDF) under correlated and uncorrelated normal training samples. This paper specifically examines the effect of correlation, uncorrelation considering different sample size ratios, number of variables and varying group centroid separators (, ) on classificatio...

This study employed the quadratic classification function analysis to examine the influence of farmer’s socio-demographic and varietal characteristics of maize on adoption of improved maize varieties (IMVs) in the Wa Municipality of the Upper West region of Ghana. The results showed that, farm labour, information availability about the variety, wee...

This study investigates the asymptotic performance of the quadratic discriminant function (QDF) under skewed training samples. The main objective of this study is to evaluate the performance of the QDF under skewed distribution considering different sample size ratios, varying the group centroid separators and the number of variables. Three populat...

Face recognition is a dedicated process in the human brain. Automatic face recognition is rewarding since an efficient and resilient recognition system is useful in many application areas. Recent face recognition algorithms are still faced with the challenge of recognizing face image under variable environmental constraints. This paper presents a s...

The Ordinary Least Squares Estimator (OLSE) is the best method for linear regression if the classical assumptions are satisfied for estimating weights. When these assumptions are violated, the robust methods give more reliable estimates while the OLSE is strongly affected adversely. In order to assess the sensitivity of some estimators using more t...

This study compared the performance of some robust regression methods and the Ordinary Least Squares Estimator (OLSE). The estimators were compared using varied levels of leverages and vertical outliers in the predictors and the dependent variables. An anthropometric dataset on total body fat with height, Body Mass Index (BMI), Triceps Skin-fold(TS...

This work is directed to evaluating Whitened Principal Component Analysis and Singular Value decomposition (PCA/SVD) face recognition algorithm under variable facial expression. The proposed template-based algorithm is tested on some created face database captured along the universally accepted principal emotions. Their recognition distance from th...

In this study, we assess the performance of some robust regression methods. These are the least trimmed squares estimator (LTSE), Huber maximum likelihood estimator (HME), S-Estimator (SE) and modified maximum likelihood estimator (MME) which are compared with the ordinary least squares estimator (OLSE) at different levels of leverages in the predi...

Experiments have shown that, even one to three day old babies are able to distinguish between known faces (Chiara, Viola, Macchi, Cassia, & Leo, 2006). So how hard could it be for a computer? It has been established that face recognition is a dedicated process in the brain (Marque´s, 2010). Thus the idea of imitating this skill inherent in human be...

OBJECTIVE: This study examined medical specialty selection by Nigerian resident doctors using a marketing research approach to determine the selection criteria and the role of perceptions, expected remuneration, and job placement prospects of various specialties in the selection process.

Postpartum length of stay (LOS) in hospital continues to be a subject of intense discourse and research, especially for mothers of neonates born with low birth weight (LBW). This study investigates the association of total LOS (pre and postpartum) with a range of factors related to geo-demographics, maternal health and pregnancy history. It also pr...

Low Birth Weight (LBW), a birth weight less than 2.5kg, is an important public health problem because LBW infants are at greater risk of mortality and morbidity in early infancy (WHO, 2004; UNICEF, 2004). The rate of LBW in the Northern Region consistently ranks high among the ten regions in Ghana, and Tamale metropolis has the highest percentage o...

In this study the performance of Minimum Expected Cost of Misclassification method (MECM) and Quadratic Discriminant Function approach (QDF) were compared and evaluated for the case of equal mean discrimination under unequal misclassification cost. 30 pairs of Female liked sex twins extracted from Stocks (1933) ten (10) variate data on 832 twin chi...

The impact of postpartum length of stay (PLOS) has been widely reported. Different mothers often have different lengths of stay after child delivery. In order to determine the optimum PLOS, it becomes necessary to deliberate on the factors associated with it. An investigation was conducted on 150 women who delivered at War Memorial Hospital in Navr...

Women’s utilization of maternal health care facility is a vital health issue with regards to well-being and survival of both the mother and her child. In April 2005, the government of Ghana in pursuit of Millennium Development Goal 5 (MDG 5) established the Exemption Fee Delivery policy (EFDP) and subseqently followed by Free Maternal Healthcare Po...