The Application of Genomics and Modelling to the Control of Virus Pathogens (GeMVi)
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.
The Application of Genomics and Modelling to the Control of Virus Pathogens (GeMVi) project aims to reduce this deficit in East Africa, combining strengths of University of Warwick, KEMRI-Wellcome Trust Research Programme and other East African Institutes. GeMVi is engaging health authorities and institutes, identifying priority questions and linking outputs to policy. We are transferring sequencing technologies, sharing bioinformatic methods,developing modelling capacity and generating new understanding through predictive modelling and virus sequence data.
Central to GeMVi’s mission is the funding of up to 20 high calibre East African Research Fellows to undertake short term public health oriented projects of relevance to the East African setting. The fellowships present an excellent opportunity for Fellows to enhance their skills and work with leading experts in the fields of pathogen sequencing, bioinformatics, health economics and mathematical and statistical modelling with emphasis on COVID related projects.
Investigators : James Nokes, Matt Keeling, Sam Kinyanjui, Etienne De Villiers