@article{31acba3ec6fc4b449400da010bc3d4b6,
title = "Epidemiological and viral genomic sequence analysis of the 2014 Ebola outbreak reveals clustered transmission",
abstract = "Using Ebolavirus genomic and epidemiological data, we conducted the first joint analysis in which both data types were used to fit dynamic transmission models for an ongoing outbreak. Our results indicate that transmission is clustered, highlighting a potential bias in medical demand forecasts, and provide the first empirical estimate of underreporting.",
keywords = "Ebola, West Africa, clustering, epidemiology, genome sequencing",
author = "Scarpino, {Samuel V.} and Atila Iamarino and Chad Wells and Dan Yamin and Martial Ndeffo-Mbah and Wenzel, {Natasha S.} and Fox, {Spencer J.} and Tolbert Nyenswah and Altice, {Frederick L.} and Galvani, {Alison P.} and Meyers, {Lauren Ancel} and Townsend, {Jeffrey P.}",
note = "Publisher Copyright: {\textcopyright} The Author 2014. Published by Oxford University Press on behalf of the Infectious Diseases Society of America.",
year = "2015",
month = apr,
day = "1",
doi = "10.1093/cid/ciu1131",
language = "אנגלית",
volume = "60",
pages = "1079--1082",
journal = "Clinical Infectious Diseases",
issn = "1058-4838",
publisher = "Oxford University Press",
number = "7",
}
