Updates to the zoonotic niche map of Ebola virus disease in Africa
David M Pigott,
Anoushka I Millear,
Lucas Earl,
Chloe Morozoff,
Barbara A Han,
Freya M Shearer,
Daniel J Weiss,
Oliver J Brady,
Moritz UG Kraemer,
Catherine L Moyes,
Samir Bhatt,
Peter W Gething,
Nick Golding,
Simon I Hay
Affiliations
David M Pigott
Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom
Anoushka I Millear
Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States
Lucas Earl
Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States
Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States
Barbara A Han
Cary Institute of Ecosystem Studies, New York, United States
Freya M Shearer
Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom
Daniel J Weiss
Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom; Department of Zoology, University of Oxford, Oxford, United Kingdom
Oliver J Brady
Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom
Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom; Department of Zoology, University of Oxford, Oxford, United Kingdom
Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom
Samir Bhatt
Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom; Department of Zoology, University of Oxford, Oxford, United Kingdom
Peter W Gething
Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom; Department of Zoology, University of Oxford, Oxford, United Kingdom
Nick Golding
Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom; Department of BioSciences, University of Melbourne, Parkville, Australia
Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom
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.
