46 citations · 65 across the 6 of their papers we have counts for
6 papers
Spatiotemporal mapping of malaria prevalence in Madagascar using routine surveillance and health survey data
Rohan Arambepola, Suzanne H. Keddie, Emma L. Collins +17
Malaria transmission in Madagascar is highly heterogeneous, exhibiting spatial, seasonal and long-term trends. Previous efforts to map malaria risk in Madagascar used prevalence da…
A simulation study of disaggregation regression for spatial disease mapping
Rohan Arambepola, Tim C D Lucas, Anita K Nandi +2
Disaggregation regression has become an important tool in spatial disease mapping for making fine-scale predictions of disease risk from aggregated response data. By including high…
Nonparametric Causal Feature Selection for Spatiotemporal Risk Mapping of Malaria Incidence in Madagascar
Rohan Arambepola, Peter Gething, Ewan Cameron
Modern disease mapping draws upon a wealth of high resolution spatial data products reflecting environmental and/or socioeconomic factors as covariates, or `features', within a geo…
Mapping malaria seasonality: a case study from Madagascar
Michele Nguyen, Rosalind E. Howes, Tim C. D. Lucas +17
Many malaria-endemic areas experience seasonal fluctuations in case incidence as Anopheles mosquito and Plasmodium parasite life cycles respond to changing environmental conditions…
Variational Learning on Aggregate Outputs with Gaussian Processes
Ho Chung Leon Law, Dino Sejdinovic, Ewan Cameron +4
While a typical supervised learning framework assumes that the inputs and the outputs are measured at the same levels of granularity, many applications, including global mapping of…
Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation
Samir Bhatt, Ewan Cameron, Seth R Flaxman +3
Maps of infectious disease---charting spatial variations in the force of infection, degree of endemicity, and the burden on human health---provide an essential evidence base to sup…