This research was funded by the National Institute for Health Research (NIHR) (17/63/82) using UK aid from the UK Government to support global health research. The views expressed in this publication are those of the author(s) and not necessarily those of the NIHR or the UK Department of Health and Social Care.
High throughput pathogen sequencing and predictive models underpin the modern approach to understanding community spread and optimal control of infectious diseases. In this field, despite high disease burden, low income countries have been left behind.
GeMVi aims to reduce this deficit in East Africa, combining strengths of University of Warwick, KEMRI-Wellcome Trust Research Programme (Kenya) and other East African Institutes. GeMVi will engage health authorities and institutes, identify priority questions and link output to policy; fund 20 high calibre Research Fellows on locally relevant projects; transfer sequencing technologies, share bioinformatic methods and develop modelling capacity; generate new understanding through predictive modelling and virus sequence data.