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                <text>Discriminant Analysis of Discrimination against People with Disability</text>
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                <text>Iddrisu Wahab Abdul, Joseph Dadzie, Ben Apau-Dadson</text>
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                <text>Negative stereotypes about physically challenged people result in discriminatory social policies which in turn reinforce or confirm negative attitudes that greatly affects them as they strive to function in the society, these problems create some difficulties as the physically challenged persons strives to effectively play active role in various sectors of the society. The main objective of this study was to identify the category of people who perpetuate discriminatory practices against physically challenged people in Tamale metropolis of Ghana. Questionnaires and interview guide were used to collect data for the study. Discriminant analysis using Statistical Package for Social Sciences (SPSS) was then performed on the collected data. The results revealed that" survey respondents who had discriminated either consciously or unconsciously against people with disabilities were more likely to be less than 40 years in terms of age, male in terms of sex, educated with regards to formal education, and working in the formal sector in terms of occupation than survey respondents who had never discriminated against people with disabilities."</text>
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                <text>Spatial bayesian methods of flow forecasting in the Black Volta river</text>
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                <text>Iddrisu Wahab Abdul, Kaku Sagary Nokoe, Frank Badu Osei, Eric Ofosu Antwi</text>
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                <text>The use of Spatial Bayesian Vector Autoregressive (SBVAR) models for river flow forecasting is studied in this paper. SBVAR models based on both the First Order Spatial Contiguity (FOSC) and the Random-Walk Averaging (RWA) priors were estimated and compared in terms of forecast performance. Monthly data on river flows from January 2000 to December 2009 for the four gauge stations along the Black Volta River namely, Lawra, Chache, Bui and Bamboi was obtained from the hydrological services department of Ghana and used for model fitting. The estimation and forecasting procedure was conducted using the Econometrics Toolbox in MATLAB. Mean Absolute Percentage Errors (MAPEs) were calculated for all models considered. The results indicated very good forecasts for all the models considered. However, a comparison among them clearly indicated a much better performance by the SBVAR model based on the RWA prior which considered flows from only the immediate upstream gauge station as important while flows from all other gauge stations were considered unimportant.</text>
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                <text>Item Response Theory Model for Understanding Item Non-Response in Ghanaian Surveys</text>
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                <text>Iddrisu Wahab Abdul, Nana Kena Frempong, Martin Owusu Amoamah</text>
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                <text>This paper explores four Item Response Theory (IRT) models to determine the most appropriate for understanding item non-response. The selected IRT model was used to identify among five categories of survey questions, the most difficult to answer by respondents and determine the underlying mechanism behind missing data which is defined to include ‘don’t know’answers. A questionnaire data on Ghana collected in the fifth wave of the World Values Survey was implored. All items were dichotomously scored. Missing or ‘don’t know’responses were assigned a 0 score whiles answered items were assigned a 1 score. The four IRT models that were explored included both the constrained and unconstrained versions of the Rasch model, the two parameter logistic model (2-PLM), and the three parameter logistic model (3-PLM). The unconstrained Rasch model emerged as the most appropriate model for understanding item non-response. It was observed that, income related questions had the highest difficulty parameter, hence the most difficult category of survey questions to answer. It was also found that, if an individual does not answer a survey question or give a ‘don’t know’answer, it is not only due to the question’s difficulty but also because the respondent doesn’t want to answer.</text>
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                <text>Modelling the Trend of Flows with Respect to Rainfall Variability Using Vector Autoregression</text>
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                <text>Iddrisu Wahab Abdul, Nokoe Kaku Sagary, Akoto Isaac</text>
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                <text>International Journal of Advanced Research</text>
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                <text>Space-time analysis and mapping of prevalence rate of tuberculosis in Ghana</text>
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                <text>Iddrisu Wahab Abdul, Sylvia Ankamah, Abdul-Karim Iddrisu, Evans Danso</text>
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                <text>Background&#13;
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.&#13;
Aims&#13;
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.&#13;
Methods and material&#13;
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.</text>
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                <text>Elsevier</text>
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                <text>Determinants of Polycyclic Aromatic Hydrocarbons in Smoked Bushmeat</text>
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                <text>Iddrisu Wahab Abdul., Martin Owusu Amoamah, Abu Abdallah</text>
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