My interests lie in the development and application of inferential mathematical models to address policy-relevant questions about infectious diseases. My main areas of research concern Malaria and HIV. Methodologically, I am interested in spatial statistics, Gaussian processes, kernel machines and machine learning.
et al., 2019, Malaria eradication within a generation: ambitious, achievable, and necessary., Lancet
et al., 2019, Mapping the global endemicity and clinical burden of Plasmodium vivax, 2000-17: a spatial and temporal modelling study, The Lancet, Vol:394, ISSN:0140-6736, Pages:332-343
et al., 2019, Mapping the global prevalence, incidence, and mortality of Plasmodium falciparum, 2000-17: a spatial and temporal modelling study, The Lancet, Vol:394, ISSN:0140-6736, Pages:322-331
et al., Mosquito feeding behavior and how it influences residual malaria transmission across Africa, Proceedings of the National Academy of Sciences, ISSN:0027-8424
Kraemer MUG, Reiner RC, Bhatt S, 2019, Causal Inference in Spatial Mapping., Trends Parasitol