Professor Peter Gething
Watch Peter's inaugural lecture "The Malaria Atlas Project: Mapping the past, present and future of a global disease" on BDI TV.
Professor of Epidemiology, Nuffield Department of Medicine
Peter Gething is Professor of Epidemiology at the The Big Data Institute, University of Oxford. He is director of the Malaria Atlas Project, a World Health Organization Collaborating Centre in Geospatial Disease Modelling (WHO CC).
Peter 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 Peter became a member of faculty at Southampton as a lecturer in GIS, before joining the Malaria Atlas Project in 2008.
Peter’s interests are in the development and application of empirical and biological models to address policy-relevant questions in tropical health. His group focuses on the geospatial modelling of changing P. falciparum malaria transmission, burden, and the role of changing intervention coverage and control efforts. 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.
Mapping diphtheria-pertussis-tetanus vaccine coverage in Africa, 2000-2016: a spatial and temporal modelling study.
Mosser JF. et al, (2019), Lancet (London, England)
Mapping changes in housing in sub-Saharan Africa from 2000 to 2015.
Tusting LS. et al, (2019), Nature
A stakeholder workshop about modelled maps of key malaria indicator survey indicators in Madagascar.
Howes RE. et al, (2019), Malaria journal, 18
Growing evidence of Plasmodium vivax across malaria-endemic Africa.
Twohig KA. et al, (2019), PLoS neglected tropical diseases, 13
Household electricity access in Africa (2000-2013): Closing information gaps with model-based geostatistics.
Andrade-Pacheco R. et al, (2019), PloS one, 14