OUR MISSION: To advance global thinking and accelerate progress towards disease elimination
GLIDE works to elevate awareness of and engagement with specific diseases of focus – these are malaria, lymphatic filariasis, onchocerciasis, and polio. We link disease elimination efforts at global, regional, and national levels with other relevant global health priorities.
Working together with country partners and ministries of health, GLIDE provides technical advice and, capacity building initiatives. We seek to facilitate cross-disease, cross-border, and cross-sector action to help amplify lessons learned and identify synergies to advance elimination.
Collaboration Aligns with the UAE’s Long-Standing Commitment to Combating Infectious Diseases Regionally and Worldwide Abu Dhabi, UAE: 02 October 2025 – Khalifa University of Science and Technology and The Global Institute for Disease Elimination (GLIDE) today announced they have signed a Memorandum of Understanding (MoU) to collaborate on capacity-strengthening initiatives aimed at enhancing public […]
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Vector Control Influence of the dry and humid seasons on the assessment of human exposure to malaria vector bites in Bobo-Dioulasso, Burkina Faso – Link First initiative to develop a standard methodology for the evaluation of attractive targeted sugar baits in different settings against targeted mosquito vectors: a methodological review – Link Delivering an […]
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Vector Control WHO partners with KSrelief to support national response for malaria and dengue vector control in Yemen – Link Diagnostic testing and treatment A triple regimen as an alternative treatment for lymphatic filariasis in a non-endemic area in Indonesia: A case report – Link Data Introducing researchers involved in vector control to modelling for […]
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Diagnostic testing and treatment Clinical trial to test potential new cure for river blindness – Link Data The utility of infectious disease modelling in informing decisions for outbreak response: A scoping review – Link Assessing the acceptability of a malaria prevention intervention in infant by healthcare providers: the contribution of structural equation modeling (SEM) – […]
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