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Last Updated: 19/07/2024

Developing Excellence in Leadership and Genetic Training for Malaria Elimination in Sub-Saharan Africa (DELGEME)

Objectives

Very little of the thousands of terabytes of sequence data has been translated into knowledge relevant for malaria control. This is mainly due to the fact that there is a “strong wall” between the malaria control community and the geneticists, indeed the two groups hardly understand each other’s languages. Therefore, with this project, it is proposed to “tear down this wall”. Indeed the translation of these genetic sequences into knowledge requires cutting edge skills that are currently lacking in sub-Saharan Africa. Yet, genetics is increasingly required for decision making in major public health threats such as HIV/AIDS, Tuberculosis, Malaria and other tropical diseases.

The main aims of this training programme will be to:

  1. Train, retain and develop graduates, doctoral and Postdoctoral fellows on genomics and bioinformatics across malaria-endemic countries
  2. Develop programs to enhance the understanding and dissemination of genetic data relevant to malaria interventions and eradication programmes. 
Rationale and Abstract

The high level of diversity of malaria parasites in the African continent contravenes elimination strategies and sustains the high burden of the disease in Africa. Knowledge of the genome wide diversity of the parasite, gene flow and adaptive processes are required to develop and refine elimination strategies. Indeed, the confirmation of Plasmodium falciparum artemisinin resistance in South-East Asia calls for pre-emptive surveillance of African parasite populations for genetic markers of emerging drug resistance. Because of unprecedented technological advances, there is a sharp increase in the production of genetic data from a range of pathogens including malaria parasites.

Date

Feb 2016 — Jan 2021

Total Project Funding

$7.87M

Funding Details
Wellcome Trust, United Kingdom

Pathogen Biology and Disease Transmission; DELTAS Initiative
Grant ID: 107740/Z/15/Z
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