معرفی
Eliud Kibuchi is a Research Fellow at the MRC/CSO Social and Public Health Sciences Unit at the University of Glasgow. He holds a PhD in Social Statistics from the University of Southampton, an MSc in Environmental Statistics from the University of Glasgow, and a BSc in Applied Statistics with Information Technology from Maseno University, Kenya. His research focuses on statistical and survey methods applied to understanding health inequalities in public and global health.
Key research interests include causal inference methods on linked datasets, drivers of health inequalities in slums of lower/middle-income countries, and survey data quality aspects (mixed-mode, interviewer effects, incentives). He has contributed to over 27 publications since 2014, with recent work examining ethnic health disparities in Scotland during the pandemic and health inequities in urban slums across Kenya, Bangladesh, and Sierra Leone.
Teaching includes contributing to the Master of Public Health program at the University of Glasgow, focusing on measurement and bias in survey data. Current grants include studying climate change impacts on mental health in Kenya (2024–2027) and debt's mental health effects in the UK (2024–2025).
His work bridges methodological innovation (e.g., Bayesian frameworks, propensity score matching) with applied health equity research, emphasizing transformative approaches to address systemic inequities in urban informal spaces.
