Thesis Proposal Review: Predictive performance of cardiovascular risk prediction models, contextual effects, and hotspots of cardiovascular risks in Ethiopia

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About

Cardiovascular disease (CVD) is the number one cause of death throughout the world. CVD deaths steadily increased and reaching 18.6 million in 2019. One third of all global deaths is due to CVD. More than 75% of these CVD deaths takes place in resource limited settings.  

In Ethiopia, because of limited chronic disease surveillance and inadequate screening, patients often visit health institutions at the late onset of the diseases and have little chance of survival. Early detection of CVD risks is crucial. Laboratory based risk scores are expensive. Creating and validate CVD risk score is often challenging because no cohort studies have conducted in this resource limited settings. Very few studies conduct in Ethiopia on CVD risks and CVD risk modeling. Therefore, the aim of this study is to assess predictive performance of cardiovascular risk prediction models, contextual effects, and hotspots of cardiovascular risks in Ethiopia.

Bio

YihunYihun Mulugeta Alemu is a PhD candidate. Yihun is supervised by Dr. Ellie Paige, Dr. Kinley Wangdi, A/Prof. Grace Joshy and A/Prof. Nasser Bagheri. Before commencing to the PhD training, Yihun was working on position of research and teaching (epidemiology, global health, and research method) at Bahir Dar University Ethiopia.