RESEARCH ADVANCE Updates to the zoonotic niche map of Ebola virus disease in Africa David M Pigott1,2*, Anoushka I Millear1, Lucas Earl1, Chloe Morozoff1*, Barbara A Han3, Freya M Shearer2, Daniel J Weiss4,5, Oliver J Brady2, Moritz UG Kraemer4,5, Catherine L Moyes2, Samir Bhatt4,5, Peter W Gething4,5, Nick Golding2,6, Simon I Hay1,2 1Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States; 2Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom; 3Cary Institute of Ecosystem Studies, New York, United States; 4Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom; 5Department of Zoology, University of Oxford, Oxford, United Kingdom; 6Department of BioSciences, University of Melbourne, Parkville, Australia Abstract As the outbreak of Ebola virus disease (EVD) in West Africa is now contained, attention is turning from control to future outbreak prediction and prevention. Building on a previously published zoonotic niche map (Pigott et al., 2014), this study incorporates new human and animal occurrence data and expands upon the way in which potential bat EVD reservoir species are incorporated. This update demonstrates the potential for incorporating and updating data used to generate the predicted suitability map. A new data portal for sharing such maps is discussed. This output represents the most up-to-date estimate of the extent of EVD zoonotic risk in Africa. These maps can assist in strengthening surveillance and response capacity to contain viral haemorrhagic fevers. DOI: 10.7554/eLife.16412.001 *For correspondence: pigottdm@ uw.edu (DMP);
[email protected] (CM) Competing interest: See page 10 Introduction Since the index case in 2013, the West African Ebola epidemic has killed more than 11,000 people Funding: See page 10 (World Heath Organization, 2016) and exposed national and international inadequacies in pan- Received: 30 March 2016 demic preparedness and response (Moon et al., 2015).