title: Regional spread of Ebola virus, West Africa, 2014.
abstract: To explain the spread of the 2014 Ebola epidemic in West Africa, and thus help with response planning, we analyzed publicly available data. We found that the risk for infection in an area can be predicted by case counts, population data, and distances between affected and nonaffected areas.
authors.forename: Gabriel
authors.initials: G
authors.lastname: Rainisch
authors.forename: Manjunath
authors.initials: M
authors.lastname: Shankar
authors.forename: Michael
authors.initials: M
authors.lastname: Wellman
authors.forename: Toby
authors.initials: T
authors.lastname: Merlin
authors.forename: Martin I
authors.initials: MI
authors.lastname: Meltzer
mesh_terms: D000354:Africa, Western / Q000453:epidemiology; D029043:Ebolavirus; D062306:Geography, Medical; D019142:Hemorrhagic Fever, Ebola / Q000453:epidemiology* / Q000635:transmission*; D006801:Humans; D015233:Models, Statistical; D011159:Population Surveillance; D012306:Risk