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Find similar grantsModelling for Decisions in a Dynamic Africa is sponsored by Wellcome. Develops model-based evidence to support public health decision-making for mosquito-borne diseases in the Democratic Republic of Congo, Nigeria, and Tanzania.
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Ifakara Health Institute, Tanzania Nigerian Institute of Medical Research, Nigeria Institut National de Recherche Biomedicale, Democratic Republic of Congo Telethon Kids Insititute, Australia Ifakara Health Institute, Tanzania Ifakara Health Institute, Tanzania Africa’s climate is changing in divergent and uncertain ways, driving drastic changes in the population dynamics, distribution, and seasonal abundance of mosquitoes, with consequential impacts on human disease risk.
The effects of extreme weather on rapid human population growth, behaviour, livelihoods and urbanisation, may intensify vector-borne disease transmission and challenge health systems.
To meet these challenges, countries must understand and assess how the effectiveness of health systems for disease control, the adaptability of public health decision-makers to emerging threats, and the distribution and seasonality of key vectors will react to these changes. Proactive prevention requires optimized interventions, functional early warning tools, and robust evidence-based decision-making systems.
Effective, robust and adaptable modelling can facilitate achieving this. We propose a collaborative African network to deliver model-based evidence, advice and forecasting, tailored to support public health decision-making for mosquito-borne diseases, initially focussing on malaria in the Democratic Republic of Congo, Nigeria and Tanzania.
Our approaches will i) deliver on the relationships between environmental change, vector, disease and health systems, ii) provide solutions to optimise performance of new and existing malaria interventions, iii) generate outputs for immediate utility and impact. and, iv) enable pathways to engage and capacitate decision-makers and scientists across Africa.
Based on current listing details, eligibility includes: Nonprofits, universities, and research institutions in African countries. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Not specified Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
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Wellcome Genomics in Context Awards is a grant from the Wellcome Trust that funds research integrating genomic data with clinical, environmental, and social context to improve understanding of health and disease. The program supports projects that go beyond generating sequence data to investigate how genomic variation interacts with lived experience, exposures, and biological systems. Eligible applicants include researchers at universities and research institutions globally, with preference for international collaborations. Awards fund multidisciplinary teams combining genomics, epidemiology, social science, and clinical research to generate actionable health insights.
The Evidence for AI in Health (EVAH) initiative is a $60 million joint investment by the Gates Foundation, Novo Nordisk Foundation, and Wellcome Trust to support rigorous, country-led evaluations of AI health tools in low- and middle-income countries. Delivered in partnership with J-PAL and the African Population and Health Research Center, EVAH funds evaluations of AI-enabled clinical decision support tools in primary and community healthcare settings across Sub-Saharan Africa, South Asia, and Southeast Asia. Pathway A supports early-deployment evaluations focusing on usability, workflow integration, and safety for up to $1 million. Pathway B funds randomized controlled trials, economic analyses, and implementation science studies of tools ready for deployment at scale for up to $3 million. The initiative addresses a critical evidence gap about whether AI diagnostic and clinical decision support tools actually improve health outcomes in resource-limited settings.