title: Mapping Ebola in wild animals for better disease control.
abstract: Identifying the regions where wild animal populations could transmit the Ebola virus should help with efforts to prepare at-risk areas for future outbreaks.
authors.affiliation: Sebastian Funk is in the Centre for the Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine, London, United Kingdom sebastian.funk@lshtm.ac.uk.
authors.forename: Sebastian
authors.initials: S
authors.lastname: Funk
authors.affiliation: Peter Piot is in the London School of Hygiene and Tropical Medicine, London, United Kingdom.
authors.forename: Peter
authors.initials: P
authors.lastname: Piot
mesh_terms: D000818:Animals; D002685:Chiroptera / Q000821:virology*; D029043:Ebolavirus / Q000502:physiology*; D019142:Hemorrhagic Fever, Ebola / Q000821:virology*; D006801:Humans; D018419:Primate Diseases / Q000821:virology*; D011323:Primates / Q000821:virology*; D015047:Zoonoses / Q000821:virology*
keywords: Ebola; Ebolavirus; boosted regression trees; disease mapping; epidemiology; global health; human; infectious disease; microbiology; niche based modelling; species distribution modelling; viruses