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Big Data|February 10, 2016
A Supervised Learning Process to Validate Online Disease Reports for Use in Predictive ModelsHelena M M Patching, Laurence M Hudson, Warrick Cooke, et al.Population Studies|February 23, 2022
Growing up and moving out: Migration and the demographic transition in low- and middle-income nationsThomas J Bollyky, Nick Graetz, Joseph Dieleman, et al.Communications Medicine|March 1, 2026
Modelling of onchocerciasis-associated skin and ocular disease and the impact of ivermectin treatmentMatthew A Dixon, Aditya Ramani, Martin Walker, et al.Scientific Data|May 16, 2015
A global compendium of human Crimean-Congo haemorrhagic fever virus occurrenceJane P Messina, David M Pigott, Kirsten A Duda, et al.The Lancet. Global Health|July 18, 2025
Global, regional, and national health-care inefficiency and associated factors in 201 countries, 1995-2022: a stochastic frontier meta-analysis for the Global Burden of Disease Study 2023Amy Lastuka, Michael R Breshock, Simon I Hay, et al.Malaria Journal|February 20, 2007
Assembling a global database of malaria parasite prevalence for the Malaria Atlas ProjectCarlos A Guerra, Simon I Hay, Lorena S Lucioparedes, et al.Malaria Journal|August 7, 2009
Defining the relationship between Plasmodium falciparum parasite rate and clinical disease: statistical models for disease burden estimationAnand P Patil, Emelda A Okiro, Peter W Gething, et al.Malaria Journal|July 23, 2013
Spatiotemporal mathematical modelling of mutations of the dhps gene in African Plasmodium falciparumJennifer A Flegg, Anand P Patil, Meera Venkatesan, et al.Geographical Analysis|March 28, 2009
Developing geostatistical space-time models to predict outpatient treatment burdens from incomplete national dataPeter W Gething, Abdisalan M Noor, Priscilla W Gikandi, et al.Lancet (London, England)|May 28, 2003
Forecasting, warning, and detection of malaria epidemics: a case studySimon I Hay, Eric C Were, Melanie Renshaw, et al.Pageof 40