Bright E Owusu - Academia.edu (original) (raw)

Papers by Bright E Owusu

In this study, we compare the eﬃciency of six multiple comparison methods: Tukey’s, Duncan’s new ... more In this study, we compare the eﬃciency of six multiple comparison methods: Tukey’s, Duncan’s new multiple range tests, Scheﬀe’s, Bonferroni’s, Hochberg’s, and Sidak’s methods with normality assumption and homogeneity of variance assumption for three populations. Three diﬀerent sample sizes were employed and classiﬁed into three levels: small (10,10,10), medium (30,30,30), and large (50,50,50). The mean of the populations was assumed to be equal to 30 and 100 ( µ 1 = µ 2 = µ 3 = 30 and µ 1 = µ 2 = µ 3 = 100) for calculating Type I error rate. The mean of the three populations used at dif-ferent levels; ( µ 1 = 28 , µ 2 = 30 , µ 3 = 32), ( µ 1 = 26 , µ 2 = 30 , µ 3 = 34), ( µ 1 = 24 , µ 2 = 30 , µ 3 = 36), ( µ 1 = 98 , µ 2 = 100 , µ 3 = 102), ( µ 1 = 95 , µ 2 = 100 , µ 3 = 105), and ( µ 1 = 92 , µ 2 = 100 , µ 3 = 108) for evaluating the power of the various multiple comparison tests. In this paper, each population variance is assumed to be equal to 10 and 30 with a signiﬁcance level o...

PLOS Global Public Health

Historically, infectious diseases have generated fears among populations. Unhealthy handling of t... more Historically, infectious diseases have generated fears among populations. Unhealthy handling of these fears result in the stigma and discrimination of infected patients. Globally, measures taken so far by governments to curb the spread of the novel coronavirus disease-2019 (COVID-19) pandemic, although helpful, have created fears in people. Consequently, there are reported Ghanaian media cases of stigmatisation against persons who were infected and recovered from COVID-19. However, these reports remain unsubstantiated. This study, therefore, sought to examine stigma and discriminatory tendencies towards COVID-19 survivors among the adult population in Ghana. This was a population-based cross-sectional study among 3,259 adults. A multi-stage sampling technique was used to recruit study participants. Descriptive and inferential statistics comprising frequency, percentage, chi-square, and multivariable logistic regression were employed in analysing the data. Knowledge on COVID-19 was p...

has approved this thesis as fulfilment of the requirements for the Doctor of Philosophy Degree in... more has approved this thesis as fulfilment of the requirements for the Doctor of Philosophy Degree in Research Methodology. …….…………………………..…………….

Green Finance

In this paper,we investigate the mean and volatility spillover between the price of green bonds a... more In this paper,we investigate the mean and volatility spillover between the price of green bonds and the price of renewable energy stocks using daily price series from 02/11/2011 to 31/08/2021. The unrestricted trivariate VAR-BEKK-GARCH model is employed to examine potential causality,mean,and volatility spillover effects from the green bond market to the renewable energy stock market and vice-versa. The results from the VAR-BEKK-GARCH model indicate that there exists a uni-directional Granger causality from renewable energy stock prices to green bond prices. While the price of green bonds is positively influenced by its own lagged values and the lagged values of renewable energy stock prices,only the past price value of renewable energy stocks has a positive effect on the current price value. We identified a uni-directional volatility spillover from renewable energy stock prices to green bond prices. However,there was no shock spillover from both sides of the market. This research s...

International Journal of Differential Equations

This paper addresses the discrepancy between model findings and field data obtained and how it is... more This paper addresses the discrepancy between model findings and field data obtained and how it is minimized using the binning smoothing techniques: means, medians, and boundaries. Employing both the quantitative and the qualitative methods to examine the complex pattern involved in COVID-19 transmission dynamics reveals model variation and provides a boundary signature for the potential of the disease’s future spread across the country. To better understand the main underlying factor responsible for the epidemiology of COVID-19 infection in Ghana, the continuous inflow of foreigners, both with and without the disease, was incorporated into the classical Susceptible-Exposed-Quarantined-Recovered SEIQR model, which revealed the spread of the COVID-19 by these foreigners. Also, the diffusion model provided therein gives a threshold condition for the spatial spread of the COVID-19 infection in Ghana. Following the introduction of a new method for the construction of the Lyapunov functio...

Mathematics in Applied Sciences and Engineering

The continual wearing of road surfaces results to crack and holes called potholes. These road sur... more The continual wearing of road surfaces results to crack and holes called potholes. These road surface irregularities often elongate travel time. In this paper, a second-order macroscopic traffic model is therefore proposed to account for these road surface irregularities that affect the smooth flow of vehicular traffic. Though potholes do vary in shape and size, for simplicity the paper assumes that all potholes have conic resemblances. The impact of different sized potholes on driving is experimented using fundamental diagrams. Besides, the width of these holes, driver reaction time amid these irregularities also determine the intensity of the flow rate and vehicular speed. Moreover, a local cluster analysis is performed to determine the effect of a small disturbance on flow. The results revealed that the magnitude of amplification on a road surface with larger cracks is not as severe as roads with smaller size holes, except at minimal and jam density where all amplifications quick...

Arabian Journal of Geosciences, 2020

Modelling of land-use change over time gives useful information relating to land development. Log... more Modelling of land-use change over time gives useful information relating to land development. Logistic regression is arguably one of the most used in the land-use study when a binary outcome variable. Multinomial logistic regression used when multinomial outcome variable. This study aims to model of land-use change using logistic regression and multinomial logistic regression. These methods were applied to data from a survey on the land-use of Krabi Province, Thailand, in 2000, 2009 and 2018. The data is based on an analogue-to-digital conversion which replaces polygonal shapes by coded grid points. The land-use observations were categorized into four, namely developed, rubber plantation, agricultural and undeveloped lands. Our findings show that developed and agricultural lands increased by two periods of study 2000-2009 and 2009-2018. Whereas rubber plantation was decreased on two periods observes. The logistic regression models for developed land, agricultural land and rubber plantation were used for modelling land-use change, consequently as the multinomial logistic regression model with the undeveloped land being the reference category. The results showed that the modelling of land-use in 2009 and 2018 with logistic regression and multinomial logistic regression does not differ by the area under the curves (AUC) and prediction accuracy. Therefore, logistic regression can be used for the modelling of the land-use change using land-use in the previous year as predictors instead of the multinomial logistic regression, since it is not a complicated formula for adjusting spatial correlations using the variance inflation factors (VIF) and displaying the modelling result on 95% confidence intervals (CI) based weighted sum contrasts.

Journal of Population and Social Studies, 2018

Fertility has become the most important biological factor in predicting population growth due to ... more Fertility has become the most important biological factor in predicting population growth due to significant improvements in reducing mortality. Fertility projections are important in predicting the demand for water, food, medical services and other basic social amenities. There are two main objectives in this study: 1) to examine past trends in age-specific fertility rate for West African countries; and 2) to predict future fertility rates there. Age-specific fertility data were retrieved from the United States Census Bureau; then simple linear regression models were fitted to forecast the fertility rates for seven age groups from 2016 to 2100. Results confirm that fertility rates in West Africa have been reducing very slowly as has been reported in other studies, but this examination reveals that few West African countries are likely to reach long-term fertility limits across all age groups due to the slow pace of reduction. This suggests that, current population control programs in most countries are not sufficient in achieving Sustainable Development Goals and policymakers need to consider additional measures to increase the pace of fertility reduction

Applied Soil Ecology, 2019

Soil quality (SQ) evaluation is an essential tool for the enhancement of agricultural soil manage... more Soil quality (SQ) evaluation is an essential tool for the enhancement of agricultural soil management and use. An array of soil attributes, termed soil quality indicators, are used in soil quality estimation due to their sensitivity to disturbance from management practices. Therefore, the objective of this study was to assess the soil quality (using multivariate ordination technique) of oil palm (Elaeis guineensis, Jacq.) plantations amended with on-farm biomass. The experimental sites were three oil palm plantations located in the southernmost Pattani province of Thailand namely, Ban Chamao (BC), Ban Lipasango (BL) and Ban Bothong (BB) fertilised with fish effluent (FE), empty fruit bunch (EFB) compost and NPK (plus EFB mulch), respectively with completely randomised block design. A minimum dataset (MDS) of soil indicators were defined using multivariate principal component analysis (PCA). The selected MDS comprised mainly geometric mean of microbial enzyme activity (GME), available phosphorus (AP) and moisture content (MC) with per cent contribution towards soil quality index (SQI) (assessed based on PCA after scoring by normalised linear function) in the order: GME (77.3%) > AP (13.6%) > MC (9.1%). Essentially, the activity of enzymes is a crucial ecosystem function (nutrient cycling), further indicating that decreases in soil enzyme activities can be signal for a decline in SQ. GME, AP, and MC effectively differentiated the oil palm plantations and could be important not only in monitoring soil quality enhancement in the present study locations but also in a similar tropical environment with similar edaphic conditions. SQI was not significantly different between the BB (0.81) and BL (0.79) plantations (p = 0.46). However, both BB and BL were higher than in BC (0.65). BB and BL showed low geometric mean of microbial biomass GMB, high soil pH, C, N, GME and qCO 2 (metabolic quotient, i.e., the amount of CO 2 respired per unit microbial biomass), while the fish effluent amended BC plantation showed the opposite. EFB contains a substantial quantity of nutrients and organic matter (OM) capable of reducing soil acidity, stimulating enzyme activity, and enriching the soil with nutrients with the resultant improvement in SQ. Therefore, a regular practice of returning EFB (either as compost or mulch, with or without mineral NPK) to the soil should be encouraged for smallholder oil palm plantations to improve soil quality and serves as an alternative channel for on-farm biomass disposal.

Annual Research & Review in Biology, 2018

Aim: This study was carried out to ameliorate acid sulphate soil (ASS), improve soil nutrient con... more Aim: This study was carried out to ameliorate acid sulphate soil (ASS), improve soil nutrient content and the soil quality by employing the use of organic and reduce mineral fertilisation. Study Design: Treatments were arranged according to a completely randomised block design, in triplicates in a greenhouse. Methodology: Three fertiliser regimes at three doses (mineral N, P, K (MIN-control (CK), NPK,

Environmental Earth Sciences, 2019

The increasing concern about climate change has increased the necessity for precise figures about... more The increasing concern about climate change has increased the necessity for precise figures about deviations in statistical characteristics of rainfall events in both temporal and spatial scales. Many areas across Australia have high variability patterns of rainfall and inadequate rainfall records which has various effects on the availability of food and water. Modelling spatial and temporal rainfall is essential for prediction and simulation purposes in numerous aspects of planning, agriculture, forestry, meteorology and hydrology. Two different models are generally used to describe the two main features of rainfall: the occurrence and the amount. This paper describes the occurrence probability of 5-day average rainfall (successive 5-day rainfall mean) in Australia. Daily accumulated rainfall observations of 105 meteorological stations spanning from 1950 to 2013 were collected from Australian Bureau of Meteorology for the study. Logistic regression is applied to predict rainfall probability of occurrence in all the meteorological stations using nine observational rainfall stations as case studies. Weather conditions such as the 5-day periods which is defined as the consecutive 5-day average rainfall in a year and the annual rainfall which is defined as the annual daily rainfall mean factors were used as the predictors. The fitted logistic regression models predicted the occurrence and non-occurrence 5-day average rainfall events quite well with good accuracies. The predictors significantly affected the fitted models in all stations. Analysis of the levels of each of the predictors showed that the parameters of the 5-day period factors were more influential in all the models, particularly during the rainy season in most stations relative to that of the annual factors. The fitted models could be used to simulate rainfall probabilities for the stations with insufficient rainfall histories and could assist agronomist and various stakeholders in the planning of their various operations.

The analysis of daily rainfall data (a case of Nyankpala). DSpace/Manakin Repository. ...