124 10 3070 https://repository.gctu.edu.gh/files/original/0fc9c8e917b19b6574b8fae60364bde2.pdf 67cdec0f251c0401b7a4417ec90fbd0f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modeling downtime severity of telecommunication networks using discrete time Markov chains Creator An entity primarily responsible for making the resource Wahab A Iddrisu, Ibrahim A Gedel Description An account of the resource Telecommunication network reliability remains a top priority for both customers and service providers. Downtime can result in revenue loss for providers and productivity loss for customers. Thus, accurately predicting downtime severity can help providers plan and respond effectively. This study models telecommunication network downtime severity using discrete-time Markov chains (DTMC). The data used consists of 1,211 daily network downtime records, in minutes, recorded by Ghana's national communications authority (NCA) from August 1, 2015, to April 30, 2021. The severity of daily downtime was categorized into 5 categories based on duration. Results indicate that the majority (n= 905) of daily network downtime was negligible, while only 25 outages were severe. The transition probability matrix indicates that if the present network downtime severity is negligible, there is an 81% chance that the next network downtime severity may also be negligible, a 12% chance of minimal severity, a 4% chance of significant severity, a 2% chance of serious severity, and a 1% chance of severe severity. The steady-state distribution indicates that over the long term (n≥ 17), 74% of network downtime severity is expected to be negligible, while only 2% is expected to be severe. Based on probability simulations for 12 steps, it is evident that the'negligible'category is the most probable network downtime severity, regardless of the initial severity category. These findings can assist telecommunication providers in better planning and delivering more reliable services to their customers. Publisher An entity responsible for making the resource available Accent Social and Welfare Society Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&cstart=20&pagesize=80&citation_for_view=ECTxVnYAAAAJ:4DMP91E08xMC Language A language of the resource English https://repository.gctu.edu.gh/files/original/f24158af5b309673f3c5c8f2b0678ff4.pdf 799722de37b74603d6cd0af14e0a1aec Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Identifying factors associated with child malnutrition in Ghana: a cross-sectional study using Bayesian multilevel ordinal logistic regression approach Creator An entity primarily responsible for making the resource Wahab Abdul Iddrisu, Opoku Gyabaah Description An account of the resource Objective In developing countries, malnutrition is a noteworthy concern related to the well-being of people, and this study aimed to determine the factors that affect malnutrition among children below 5 years in Ghana. Design The study used a secondary data source, specifically the Ghanaian Multiple Indicator Cluster Survey Six (MICS 6), which was conducted by the Ghana Statistical Service in 2017–2018. The MICS data are hierarchical, as children are categorised within households, and households are further grouped within a higher cluster, violating the independence assumption that must be addressed in the analyses. This study used a Bayesian multilevel ordinal logistic regression to model, identify and analyse the factors linked to child malnutrition in Ghana. Setting The setting of the study was the household level across the previous 10 administrative regions in Ghana. Participants Data for 8875 children … Publisher An entity responsible for making the resource available British Medical Journal Publishing Group Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:9yKSN-GCB0IC Language A language of the resource English https://repository.gctu.edu.gh/files/original/834a804f8d12d452edb4cdde2a35cb72.pdf 834e713f95581e95eb03a8a37f9ad003 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Understanding water quality dynamics in aquaculture ponds in Sunyani, Ghana: Insights from Partial Least Squares (PLS)-Path Modeling Creator An entity primarily responsible for making the resource Nicole EG Otoo, Peter O Sanful, Wahab A Iddrisu, Solomon Amfoh, Okyere K Boateng Description An account of the resource Oreochromis niloticus, and African catfish Clarias gariepinus, were selected for the study. Eleven fish ponds with stock ranging between 7-21 days were randomly selected and sampled at monthly intervals for five months, with the aim of capturing water quality patterns through a full production cycle. Seventeen parameters were measured and analyzed using Partial Least Squares (PLS)-Path Modeling. Most ponds had unusually shallow depths, characterized by excessive stocking densities of 200% on average above recommended rates. This necessitates high feeding rates, thereby reducing the assimilative capacity of ponds. The effect of feeding intensity on water quality increased with stock age. Persistent algal blooms, low DO, high temperatures and elevated levels of ammonia, nitrite, phosphate, TDS and conductivity were indicative of generally poor water quality. The model showed that 82% variability in water quality was due to production inputs. Standard stocking rates, feeding rates and construction of deeper ponds are recommended. Publisher An entity responsible for making the resource available Journal of Fisheries and Aquaculture Research Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:QIV2ME_5wuYC Language A language of the resource English Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modelling the Trend of Flows with Respect to Rainfall Variability Using Vector Autoregression Creator An entity primarily responsible for making the resource Iddrisu Wahab Abdul, Nokoe Kaku Sagary, Akoto Isaac Publisher An entity responsible for making the resource available International Journal of Advanced Research Date A point or period of time associated with an event in the lifecycle of the resource 2016 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:L8Ckcad2t8MC Language A language of the resource English https://repository.gctu.edu.gh/files/original/bb619d0e2db6dd35a29b1305302e76b2.pdf 6b26dc20681e771cf9f98ed6d8fc8725 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modeling Cholera Epidemiology Using Stochastic Differential Equations Creator An entity primarily responsible for making the resource Wahab A Iddrisu, Inusah Iddrisu, Abdul-Karim Iddrisu Description An account of the resource In this study, we extend Codeço’s classical SI‐B epidemic and endemic model from a deterministic framework into a stochastic framework. Then, we formulated it as a stochastic differential equation for the number of infectious individuals I(t) under the role of the aquatic environment. We also proved that this stochastic differential equation (SDE) exists and is unique. The reproduction number, R0, was derived for the deterministic model, and qualitative features such as the positivity and invariant region of the solution, the two equilibrium points (disease‐free and endemic equilibrium), and stabilities were studied to ensure the biological meaningfulness of the model. Numerical simulations were also carried out for the stochastic differential equation (SDE) model by utilizing the Euler‐Maruyama numerical method. The method was used to simulate the sample path of the SI‐B stochastic differential equation for the … Publisher An entity responsible for making the resource available Hindawi Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:kNdYIx-mwKoC Language A language of the resource English https://repository.gctu.edu.gh/files/original/1e9ddc6eb28195c1758754e948698ae2.pdf 99723b8e094366e293dd6a021eebbda5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Success factors of pre-construction stages of Ghanaian public road construction project life cycle Creator An entity primarily responsible for making the resource Chelteau Barajei, Emmanuel Appiah-Kubi, Nongiba A Kheni, Peter PK Yalley, Wahab Iddrisu Description An account of the resource The research article aims to determine the critical success factors (CSFs) of the pre-construction stages of the public road construction project life cycle in Ghana. Data on 26 CSFs and 16 success criteria were collected from key stakeholders across Ghana through a questionnaire survey. The data was then analyzed using structural equation modelling (SEM). The study showed that external environmental factors and project management factors directly influence success across the pre-construction phases of the Ghanaian public road construction project life cycle whereas procurement-related factors only influence the success of the works procurement phase. The research outcome would inspire construction industry stakeholders to be dynamic and pay utmost attention to the application of the CSFs identified across the pre-construction phases of the Ghanaian public road construction project life cycle. This is the … Publisher An entity responsible for making the resource available Publisher Date A point or period of time associated with an event in the lifecycle of the resource 2024 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:d1gkVwhDpl0C Language A language of the resource English https://repository.gctu.edu.gh/files/original/a7ea0c38e56510b2ca1054f770d332a3.pdf 3535c7c90ac8eae7595ffec01b868c03 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Modeling and Forecasting of Ghana’s Inflation Volatility Creator An entity primarily responsible for making the resource Abdul-Karim Iddrisu, Dominic Otoo, Iddrisu Wahab Abdul, Sylvia Ankamah Description An account of the resource In this paper, we assessed volatility of Ghana’s inflation rates for 2000 to 2018 using the auto-regressive conditionally heteroskedasticity (ARCH), generalized ARCH (GARCH), and the exponential GARCH (EGARCH) models. The inflation data were obtained from the Ghana Statistical Service (GSS). The proposed model should be able to provide projections of inflation volatility from 2019 and beyond. The results showed that higher order models are required to properly explain Ghana’s inflation volatility and the EGARCH(12, 1) is the best fitting model for the data. The EGARCH(12, 1) model is robust to model and forecast volatility of inflation rates. Also, the results suggest that we are forecasting increasing volatility and there is increasing trend in general prices of goods and services for 2018 and beyond. The forecasts figures revealed that Ghana’s economy is likely to be unstable in 2018 and 2019. This study therefore recommends that policy makers and industry players need to put in place stringent monetary and fiscal policies that would put the anticipated increase in inflation under control. The models were implemented using R software. Publisher An entity responsible for making the resource available Scientific Research Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2019 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:YOwf2qJgpHMC Language A language of the resource English https://repository.gctu.edu.gh/files/original/76947c4150c39cef66c60877de7821b1.pdf e2e91ab4c93bf36845c7bb33f41ae317 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Enhancing the success of Ghanaian public road construction projects Creator An entity primarily responsible for making the resource Chelteau Barajei, Nongiba A Kheni, Emmanuel Appiah-Kubi, Humphrey Danso, Abdul Wahab Iddrisu Description An account of the resource The objective of this research paper is to determine the critical success factors (CSFs) influencing the success of public road construction projects from the perspective of a developing nation. A self-administered questionnaire was used to gather data on the extent to which critical success factors gathered from literature impact the success of public road construction projects from sector practitioners’ perspectives in Ghana. The data was then analysed using factor analysis. The study revealed that external environmental factors have the highest influence (46.23%) on public road construction project success, followed by project management factors (12.25%) while procurement-related factors have the least impact (6.97%). Public construction project management organisations and the government will now have a deeper understanding of CSFs that influence the success of public construction projects and use them as … Publisher An entity responsible for making the resource available Cogent Date A point or period of time associated with an event in the lifecycle of the resource 2023 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:KlAtU1dfN6UC Language A language of the resource English https://repository.gctu.edu.gh/files/original/6b12dd6cf6f6e83a4206e84282fee82b.pdf dcf9e01a1307a7e9690a15cb4f74e9cc Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Discriminant analysis of demand-side roadblocks to financial inclusion in Northern Ghana Creator An entity primarily responsible for making the resource Issahaku Yakubu, Romanus Dinye, Daniel Buor, Wahab A Iddrisu Description An account of the resource Northern Ghana has been described as the most poverty-stricken spot in Ghana. Given the link between financial inclusion and poverty reduction, this paper aims at estimating a discriminant function model to analyse demand-side roadblocks to financial inclusion in Northern Ghana. The study is mainly based on primary data elicited through survey questionnaires. Even though the minimum sample size was determined to be 385 households, a total of 400 households were selected systematically, out of which 395 households returned their questionnaires for analysis. The estimated discriminant function model was found to be significant at the 1% level of significance. It was also found that, the demand-side roadblocks that are very crucial to financial inclusion in Northern Ghana (in order of importance) are “Culture”, “Cost”, “Capability”, and “Trust”. Overall, 77.2% of the cases were correctly classified by the estimated model. This paper therefore concludes that most vulnerable groups in Northern Ghana still find it difficult to access formal financial services due to barriers such as culture, cost, capability and trust. Government policies should therefore be directed at addressing these barriers so as to enhance financial inclusion in the area which eventually will lead to poverty reduction. Publisher An entity responsible for making the resource available Scientific Research Publishing Date A point or period of time associated with an event in the lifecycle of the resource 2017 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:dhFuZR0502QC Language A language of the resource English https://repository.gctu.edu.gh/files/original/c46f4b4bdbc7c91b5c47af63288687ea.pdf 67a325d0f179cfb717e850b4254617d8 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty of Computing and Information Systems Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Space-time analysis and mapping of prevalence rate of tuberculosis in Ghana Creator An entity primarily responsible for making the resource Iddrisu Wahab Abdul, Sylvia Ankamah, Abdul-Karim Iddrisu, Evans Danso Description An account of the resource Background Global fight against tuberculosis (TB) has received increasing attention over the years. However, the disease remains one of the top-most global health problems, especially in Sub-Saharan Africa and Ghana. Aims This paper examined geographical (regional) and seasonal distribution of TB cases providing relative risk of TB exposure in Ghana and step by step procedure to perform the analysis. Methods and material We modelled reported TB cases between 2015 and 2018 using wavelet analysis and applied maximum covariance analysis (MCA) to determine regional and seasonal patterns and the risk of TB exposure in Ghana. This study is based on the old administrative regions of Ghana. Publisher An entity responsible for making the resource available Elsevier Date A point or period of time associated with an event in the lifecycle of the resource 2020 Source A related resource from which the described resource is derived https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:8k81kl-MbHgC Language A language of the resource English