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Department of Statistics and Actuarial Science
The researcher's work integrates statistical and computational methodologies across a diverse range of health and social sciences domains. This comprehensive approach focuses on immunology for Schistosoma haematobium infections, epidemiology of Salmonella and Campylobacter diseases, SARS-CoV-2 testing, TB treatment strategies, ICT applications in community health, Parasite-Host interactions, mobile health tools, statistical modeling techniques, global patterns under climate change, public health reforms, social media interventions, financial risk models, HIV/AIDS impact research, energy load forecasting, biochemical analysis methods, vaccine hesitancy studies, and the synthesis of alkaloid-based drug therapies. This integrated approach aims to address complex issues from immunology to policy synthesis using a holistic methodological framework.
Department of Statistics and Actuarial Science
The researcher's work integrates innovative approaches across multiple disciplines, combining advancements in machine learning for imbalanced data classification in fraud detection to study eating disorders post-childbirth with a focus on neonatal respiratory health research.
Department of Statistics and Actuarial Science
The researcher's work spans multiple fields of study, focusing on Ghana's unique social and environmental challenges. Their publications explore traffic and road safety in Ghana, analyzing factors influencing pedestrian-vehicle crash severity; heavy metals contamination, employing spatial statistical methods; solar radiation and photovoltaics, examining hourly irradiation patterns; COVID-19 epidemiological studies, exploring its spread and impact; African education and politics, investigating student interest in mathematics; advanced multi-objective optimization algorithms, such as simulated annealing; psychometric methodologies for assessing health outcomes; financial literacy models, including pension fund asset allocation; behavioral studies on epilepsy and hypertension; geographically weighted logistic regression modeling; power grid energy management, focusing on solar plant energy generation; blood pressure research, examining factors influencing mortality rates in Ghana; geographical mapping of vaccination coverage inequalities; banking stability analysis; perceptions ofepilepsy among residents in Adaklu District; survival analysis models for liquidity risk; vaccine distribution patterns and hesitancy towards vaccination; statistical methods for fraud detection; behavioral studies on gender stereotypes in statistics education; optimization techniques for solving assignment problems; geostatistical modeling of soil contamination; financial literacy frameworks; power grid energy management for country-scale applications; immunization dynamics among higher education students; methods for detecting anomalies in data; classification models for misfiling; global health issues, such as under-five mortality rates and gender disparities; crop yield studies; mathematics education and pedagogy; smart-grid energy systems; soil and land use mapping; ethical and legal principles in education; stochastic modeling of solar power systems in Sub-Saharan Africa; comparative analysis of statistical methods for estimating cardiovascular disease risk; behavioral studies on perception and attitude towards people living with epilepsy; models for predicting maternal mortality records; financial literacy frameworks applied to public health facilities; vector autoregressive models for analyzing sex disparities in under-five mortality rates in Ghana.
Department of Statistics and Actuarial Science
The researcher has conducted extensive research in health and related fields, focusing on understanding health disparities, human behavior, and complex systems through methodologies spanning psychology, finance, social sciences, genetics, and demography. Their work examines health issues such as burnout, maternal health, child nutrition, and global healthcare expenditure using diverse approaches—human behavior models, financial market forecasting, statistical analysis, genetic studies, and demographic insights. The research aims to integrate these disciplines to provide a holistic understanding of contemporary health challenges across different domains.
Department of Statistics and Actuarial Science
The researcher's work focuses on advancing statistical methodologies across diverse scientific domains, addressing challenges in classification, time series analysis, food security, health, finance, environmental science, higher education, hydrology, spectroscopy, and anomaly detection. Their research applies innovative statistical techniques to tackle real-world problems in areas such as fraud detection, climate change impacts, agricultural modeling, and public health analytics.