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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

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

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