My research aims to understand sub-national level trajectories of Ebola Virus Disease (EVD) in West Africa, and the influence of health worker distribution during the epidemic. Furthermore, I will investigate factors that could be associated with the Pre/Post-Ebola clinical outcomes of survivors and if these also show sub-national variations. Hopefully, evidence generated from my project would be used to inform future outbreak policies and responses. Presently, I am using a machine learning (Boosted regression trees) model to impute the outcome (i.e. survival or death) of Ebola cases in the WHO line-list data collected during the West African Ebola outbreak in 2013-2015. The observed and imputed outcomes will improve the current estimates of the case fatality ratio. My PhD is supervised by Professor Christl Donnelly, Dr Pierre Nouvellet and Dr Ilaria Dorigatti, who are both based at Imperial College London. I am funded by the Commonwealth Scholarship Commission, United Kingdom.