Author

Elizaveta Semenova

2 papers indexed here

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Preprint Sep 2026

Comparing statistical learning models in wastewater-based epidemiology: An application to norovirus

Wastewater-based epidemiology (WBE) is an increasingly important tool for infectious disease surveillance, but there has been limited direct comparison of modelling approaches for predicting pathogen concentrations across space and time. We compare the predictive performance of six modelling approaches using norovirus...

C. McNamara, Fion Tan, Ella White et al. · 0 citations

Open access Aug 2026

Deep learning with multiscale spatial context improves global dengue suitability mapping

Infectious-disease risk models often rely on occurrence records that are incomplete and spatially biased by surveillance effort, diagnostic access, and outbreak history. Ecological niche modelling (ENM) can identify areas where disease occurrence is environmentally plausible, yet most approaches represent locations usi...

C. Foka Takamgno, J. Poongavanan, M. U. Kraemer et al. · medRxiv · 0 citations