The Global Malaria Epidemiology team, led by Director of Global Malaria Epidemiology Dr Daniel Weiss, is responsible for generating malaria burden estimates for the Global Burden of Disease project and the World Malaria Report, produced in collaboration with the Institute for Health Metrics and Evaluation of the University of Washington and the World Health Organization, respectively. This team uses epidemiological data and geostatistical modelling approaches to produce global maps of malaria parasite rate, clinical incidence, and mortality at 5km spatial resolution for years 1980 to the present. Key publications relating to this work include Hay et al. (2007), Gething et al. 2010, and Bhatt et al. 2015.
Additional research agendas that intersect with the production of global burden estimates include modelling aspects key malaria interventions, modelling treatment seeking behaviour, modelling malaria seasonality, and creating geospatial covariates that support many modelling efforts both within and outside of MAP.
Examples of improved covariates include the newly created global map of travel time to cities, temperature suitability for Plasmodium falciparum in Africa, and correcting remotely-sensed imagery to create gap-free data.