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Author

M. U. G. Kraemer

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Open access Aug 2026

Deep learning with multiscale spatial context improves global dengue suitability mapping

A deep-learning framework for presence-only data that estimates relative disease suitability by comparing the environmental conditions surrounding reported occurrences with those sampled across the wider study area is presented and demonstrates that multiscale spatial context can improve estimates of relative dengue su...

C. Foka Takamgno, J. Poongavanan, M. U. G. Kraemer et al. · 0 citations
Open access Jul 2026

Integrating ecological and anthropogenic risk identifies emerging Ebola spillover hotspots

The 2026 Bundibugyo virus outbreak emerged in a region with frequent conflict, food insecurity, rainforest and mining-related human mobility in Ituri province in the north-eastern region of the Democratic Republic of Congo (DRC). Existing ecological niche models have identified regions environmentally suitable for orth...

M. Moir, H. Tegally, D. M. Moges et al. · 0 citations

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