Guinea worm

Photo of young men sitting close to a fishing river in South Sudan

Presenting New Research on Eradicating Guinea Worm Disease

WorldPop News /

Take Our Survey and Help Shape What Comes Next Last week, Research Fellow Dr Somnath Chaudhri presented new research on mapping the risks of Guinea Worm Disease across Sub-Saharan Africa at the Intelligent Systems for Vector-Borne Disease Study Group Meeting held at The Hanse-Wissenschaftskolleg, Institute for Advanced Study in Delmenhorst, Germany.  The presentation focused on how spatial […]

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Photo of Dr Edson Utazi presenting at the 2026 Guinea Worm Eradication Program (GWEP) Research Review meeting

High-resolution mapping identifies Guinea worm hotspots to support global eradication

WorldPop News /

Take Our Survey and Help Shape What Comes Next WorldPop Associate Professor, Dr Edson Utazi presented Mapping the Risk of Guinea Worm Disease project findings last week at the 2026 Guinea Worm Eradication Program (GWEP) Research Review meeting, organised by The Carter Center. The meeting brought together experts from across the world working in areas such as genomics, geospatial

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About Us

The WorldPop research programme, based in the School of Geography and Environmental Sciences at the University of Southampton, is a multi-sectoral team of researchers, technicians and project specialists that produces data on population distributions and characteristics at high spatial resolution.

Initiated in October 2013 to combine The AfriPop Project, AsiaPop and AmeriPop projects, we have a diverse portfolio of projects, including large multi-million-pound collaborative projects with partner organisations, commercial data providers and international development organisations.

WorldPop develops and publishes open, high-resolution population datasets to support social, economic, and environmental development, humanitarian response, and the Sustainable Development Goals. This data is not intended, and should not be used, for purposes that discriminate against, exploit, surveil, or otherwise harm individuals or vulnerable populations; users are expected to apply it responsibly, assess the risks of their own analyses (particularly when combining it with other datasets) and are solely responsible for how they use it.

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