title: Network-based analysis of a small Ebola outbreak.
abstract: We present a method for estimating epidemic parameters in network-based stochastic epidemic models when the total number of infections is assumed to be small. We illustrate the method by reanalyzing the data from the 2014 Democratic Republic of the Congo (DRC) Ebola outbreak described in Maganga et al. (2014).
authors.affiliation: College of Public Health, The Ohio State University, Columbus, OH 43210, United States. email: burch.126@osu.edu.
authors.forename: Mark G
authors.initials: MG
authors.lastname: Burch
authors.forename: Karly A
authors.initials: KA
authors.lastname: Jacobsen
authors.forename: Joseph H
authors.initials: JH
authors.lastname: Tien
authors.forename: Grzegorz A
authors.initials: GA
authors.lastname: Rempala
mesh_terms: D015023:Democratic Republic of the Congo / Q000453:epidemiology; D004196:Disease Outbreaks / Q000706:statistics & numerical data*; D058872:Epidemics / Q000706:statistics & numerical data*; D019142:Hemorrhagic Fever, Ebola / Q000453:epidemiology*; D006801:Humans; D008954:Models, Biological