title: Updates to the zoonotic niche map of Ebola virus disease in Africa.
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.
authors.affiliation: 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.
authors.forename: David M
authors.initials: DM
authors.lastname: Pigott
authors.affiliation: Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States.
authors.forename: Anoushka I
authors.initials: AI
authors.lastname: Millear
authors.affiliation: Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States.
authors.forename: Lucas
authors.initials: L
authors.lastname: Earl
authors.affiliation: Institute for Health Metrics and Evaluation, University of Washington, Seattle, United States.
authors.forename: Chloe
authors.identifier: 0000-0002-3254-5553
authors.initials: C
authors.lastname: Morozoff
authors.affiliation: Cary Institute of Ecosystem Studies, New York, United States.
authors.forename: Barbara A
authors.initials: BA
authors.lastname: Han
authors.affiliation: Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
authors.forename: Freya M
authors.initials: FM
authors.lastname: Shearer
authors.affiliation: Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom.|Department of Zoology, University of Oxford, Oxford, United Kingdom.
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: Weiss
authors.affiliation: Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
authors.forename: Oliver J
authors.initials: OJ
authors.lastname: Brady
authors.affiliation: Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom.|Department of Zoology, University of Oxford, Oxford, United Kingdom.
authors.forename: Moritz Ug
authors.identifier: 0000-0001-8838-7147
authors.initials: MU
authors.lastname: Kraemer
authors.affiliation: Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.
authors.forename: Catherine L
authors.identifier: 0000-0002-8028-4079
authors.initials: CL
authors.lastname: Moyes
authors.affiliation: Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom.|Department of Zoology, University of Oxford, Oxford, United Kingdom.
authors.forename: Samir
authors.initials: S
authors.lastname: Bhatt
authors.affiliation: Spatial Ecology and Epidemiology Group, University of Oxford, Oxford, United Kingdom.|Department of Zoology, University of Oxford, Oxford, United Kingdom.
authors.forename: Peter W
authors.initials: PW
authors.lastname: Gething
authors.affiliation: Oxford Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Oxford, United Kingdom.|Department of BioSciences, University of Melbourne, Parkville, Australia.
authors.forename: Nick
authors.initials: N
authors.lastname: Golding
authors.affiliation: 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.
authors.forename: Simon I
authors.identifier: 0000-0002-0611-7272
authors.initials: SI
authors.lastname: Hay
mesh_terms: D000349:Africa / Q000453:epidemiology; D063147:Animal Distribution / Q000502:physiology; D000818:Animals; D002685:Chiroptera / Q000821:virology*; D016208:Databases, Factual; D004196:Disease Outbreaks; D004197:Disease Reservoirs / Q000821:virology*; D029043:Ebolavirus / Q000472:pathogenicity / Q000502:physiology; D062665:Epidemiological Monitoring; D019142:Hemorrhagic Fever, Ebola / Q000453:epidemiology* / Q000517:prevention & control / Q000635:transmission; D006801:Humans; D008377:Maps as Topic; D015047:Zoonoses / Q000453:epidemiology* / Q000517:prevention & control / Q000635:transmission
keywords: Ebola virus; boosted regression tree; disease mapping; ebola; epidemiology; global health; human; infectious disease; microbiology; niche based modelling; species distribution modelling