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., 2018, Associated patterns of insecticide resistance in field populations of malaria vectors across Africa, Proceedings of the National Academy of Sciences of the United States of America, Vol:115, ISSN:0027-8424, Pages:5938-5943
et al., 2018, Estimating spatiotemporally varying malaria reproduction numbers in a near elimination setting, Nature Communications, Vol:9, ISSN:2041-1723
et al., 2018, Modelling the impact of larviciding on the population dynamics and biting rates of Simulium damnosum (s.l.): implications for vector control as a complementary strategy for onchocerciasis elimination in Africa, Parasites & Vectors, Vol:11, ISSN:1756-3305
et al., 2018, Targeting the right interventions to the right people and places: the role of geospatial analysis in HIV program planning, Aids, Vol:32, ISSN:0269-9370, Pages:957-963
et al., 2018, Mapping local variation in educational attainment across Africa, Nature, Vol:555, ISSN:0028-0836, Pages:48-+