Reconstructing the transmission intensity of arboviruses across Africa and the impact of interventions in a changing climate
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AI plain-English summaryOnly 17 age-stratified dengue seroprevalence surveys have ever been conducted across the whole of Africa, leaving vast blind spots in our understanding of who has been infected and who remains vulnerable. This project will fill that gap by testing thousands of existing blood samples—originally collected for other diseases—for antibodies against at least 11 different arboviruses, including dengue, chikungunya, and yellow fever. Using a standardised Luminex assay, the team will reconstruct population immunity profiles across hundreds of locations in Africa. They will then build mathematical models and open-source R packages to estimate the force of infection—how fast the virus is spreading—under both current and future climate conditions. If successful, this work will transform outbreak preparedness. Public health agencies will have the data they need to decide where to deploy vaccines, when to scale up vector control, and how climate change might shift transmission risk. It will also validate and refine global burden estimates that currently rely on sparse data. The research is applied and directly actionable: it turns stored blood into a continent-wide surveillance system for viruses that cause fever, joint pain, and sometimes death.
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