Davies Obaromi

• Doctor of Philosophy
• Federal University of Health Sciences Otukpo, Nigeria

The computation of state probability distributions at an arbitrary point in time, which in the case of a discrete-time Markov chain means finding the distribution at some arbitrary time step n denoted π^((n) ), a row vector whose i^th component is the probability that the Markov chain is in state i at time step n, and this is the iterative solution...

As the search for, and development of new drugs continues, drug companies engage in the large-scale pharmacological screening of medicinal plants. This creates the need to elucidate the mechanism of action of medicinal plants found to possess biological activity as a means of deriving their full therapeutic potential. This research was carried out...

Aim: Nigeria's population density and other factors like confirmed, admitted, and discharged cases have adversely impacted health behaviors and the management of the COVID-19 pandemic. This study aims to investigate how population, population density, confirmed, admitted, and discharged cases affect the prevalence of the COVID-19 pandemic in the 36...

To account for overdispersion in the impact of population density, number of schools, and average household size on tuberculosis prevalence in South Africa's Eastern Cape Province, this study compared robust count regression models with a Poisson regression model. The prevalence of tuberculosis in the province of Eastern Cape in South Africa in...

The Physical or Mathematical behaviour of this model may be represented by describing all the different states it may occupy and by indicating how it moves among these states. In this study, the stationary distribution of Markov chains was solved using iterative methods that begin with an initial estimate of the solution vector and then modified it...

Introduction: To account for over-dispersion in the impact of population density, number of schools, and average household size on tuberculosis prevalence in South Africa’s Eastern Cape Province, this study compared robust count regression models with a Poisson regression model. Methods: The prevalence of tuberculosis in the province of Eastern Cap...

Introduction: Proper understanding of the prevalence and determinants of nicotine dependence is crucial for developing and implementing effective tobacco control interventions. The aim of the study was to identify the intrinsic and extrinsic barriers to smoking cessation, and to assess the association between nicotine dependence with demographic v...

Introduction: The need to model the impact of some demographic indicators on the frequency of household visits to healthcare centres in Nigeria's community is very important for preventing and spreading community diseases. This study aimed to investigate the effect of the patents' age, gender, marital status, type of illness and amount spent on the...

Aim This is an applied study to investigate the association of selected socio-economic and demographic factors with the relative risk of tuberculosis (TB) prevalence in the Eastern Cape Province of South Africa and to produce disease maps for the spatial outlines of the disease in the province. Subjects and methods This is an ecological spatial st...

Background: Tuberculosis (TB) is a deadly infectious disease caused by Mycobacteria tuberculosis. Tuberculosis as a chronic and highly infectious disease is prevalent in almost every part of the globe. More than 95% of TB mortality occurs in low/middle income countries. In 2014, approximately 10 million people were diagnosed with active TB and two...