Updates to the zoonotic niche map of Ebola virus disease in Africa.
- Resource Type
- Academic Journal
- Authors
- Pigott DM; 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.; Millear AI; Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States.; Earl L; Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States.; Morozoff C; Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States.; Han BA; Cary Institute of Ecosystem Studies, New York, United States.; Shearer FM; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.; Weiss DJ; Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom.; Department of Zoology, University of Oxford, Oxford, United Kingdom.; Brady OJ; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.; Kraemer MU; Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom.; Department of Zoology, University of Oxford, Oxford, United Kingdom.; Moyes CL; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.; Bhatt S; Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom.; Department of Zoology, University of Oxford, Oxford, United Kingdom.; Gething PW; Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom.; Department of Zoology, University of Oxford, Oxford, United Kingdom.; Golding N; Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.; Department of BioSciences, University of Melbourne, Parkville, Australia.; Hay SI; 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.
- Source
- Publisher: eLife Sciences Publications, Ltd Country of Publication: England NLM ID: 101579614 Publication Model: Electronic Cited Medium: Internet ISSN: 2050-084X (Electronic) Linking ISSN: 2050084X NLM ISO Abbreviation: Elife Subsets: MEDLINE
- Subject
- Language
- English
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.