Pete Gething has worked in tropical health since 2002. His first degree was in Geography and he read for his PhD at Southampton in the Schools of Geography and Electronics and Computer Science, developing spatio-temporal geostatistical approaches for improving the fidelity of imperfect routine reporting data on presumed malaria in Africa. In 2005 Pete became a member of faculty at Southampton as a lecturer in GIS, before joining the Malaria Atlas Project in 2008 as part of the Spatial Ecology and Epidemiology Group at the Department of Zoology, University of Oxford.
Research interests
Pete’s interests are in the development and application of empirical and biological models to address policy-relevant questions in tropical health. His primary role within MAP is the geospatial modelling of malaria endemicity, applying model-based geostatistical models to point prevalence observations to generate predictive surfaces of infection prevalence for Plasmodium falciparum and P. vivax. Other work has focused on the interactions between climate and vector ecology, on the rational use of routine health reporting, and on treatment seeking behaviour and transport models.
Selected publications
Gething, P.W., Elyazar, I.R.F., Moyes, C.M., Smith, D.L., Battle, K.E., Guerra, C.A., Patil, A.P., Tatem, A.J., Howes, R.E., Myers, M.F., George, D.B., Horby, P., Wertheim, H.F., Price, R., Müller, I., Baird, J.K. and Hay, S.I. (2012). A long neglected world malaria map: Plasmodium vivax endemicity in 2010. PLoS Neglected Tropical Diseases, 6(9): e1814
Gething P.W. & Tatem A.J. (2011) Can Mobile Phone Data Improve Emergency Response to Natural Disasters? PLoS Medicine, 8(8): e1001085
Gething, P.W., Kirui, V.C., Alegana, V.A., Okiro, E.A., Noor, A.M., Snow, R.W. (2010) Estimating the number of paediatric fevers associated with malaria infection presenting to Africa's public health sector in 2007. PLoS Medicine, 7: e1000301
Gething, P.W., Patil, A.P., Hay, S.I. (2010) Quantifying aggregated uncertainty in Plasmodium falciparum malaria prevalence and populations at risk via efficient space-time geostatistical joint simulation. PLoS Computational Biology, 6: e1000724
Gething, P.W., Smith, D.L., Patil, A.P., Tatem, A.J., Snow, R.W., Hay, S.I. (2010) Climate change and the global malaria recession. Nature, 465(7296): 342-345
Hay, S.I., Gething, P.W., Snow, R.W. (2010) India's invisible malaria burden. Lancet, 376: 1716-1717
Hay, S.I., Okiro, E.A., Gething, P.W., Patil, A.P., Tatem, A.J., Guerra, C.A., Snow, R.W. (2010) Estimating the global clinical burden of Plasmodium falciparum malaria in 2007. PLoS Medicine, 7: e1000290
Snow, R.W., Okiro, E.A., Gething, P.W., Atun, R., Hay, S.I. (2010) Equity and adequacy of international donor assistance for global malaria control. Lancet, 376: 1409-16
Tatem, A.J., Smith, D.L., Gething, P.W., Kabaria, C.W., Snow, R.W., Hay, S.I. (2010) Ranking elimination feasibility among malaria endemic countries. Lancet, 376: 1579-1591
Hay, S.I., Guerra, C.A., Gething, P.W., Patil, A.P., Tatem, A.J., Noor, A.M., Kabaria, C.W., Manh, B.H.,F. Elyazar, I.A.F., Brooker, S., Smith, D.L., Moyeed, R.A., Snow, R.W. (2009) A world malaria map: Plasmodium falciparum endemicity in 2007. PLoS Medicine, 6: e1000048
Gething, P.W., Noor, A.M., Gikandi, P.W., Ogara, E., Hay, S.I., Nixon, M.S., Snow, R.W., Atkinson, P.M. (2006) Improving imperfect data from health management information systems in Africa using space-time geostatistics. PLoS Medicine, 3: e271