@article{945252e8bd9d4ec88ec0f879f9f7c085,
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 = "Funding Information: Financial support. This work was supported by the Santa Fe Institute and the Omidyar Group (to S. V. S.); the National Institutes of Health (grant numbers 2 U01 GM087719 and 5 U01 GM105627 to A. P. G., L. A. M., and J. P. T., and K24 DA017072 to F. L. A.); the National Science Foundation (RAPID grant 1514673 to A. P. G., M. N.-M. and J. P. T.); the Notsew Orm Sands Foundation (to A. P. G. and J. P. T.); and Fundacao de Amparo a Pesquisa de Sao Paulo (grant number 13/15144-8 to A. I.). Potential conflicts of interest. All authors: No potential conflicts. 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 = "English (US)",
volume = "60",
pages = "1079--1082",
journal = "Clinical Infectious Diseases",
issn = "1058-4838",
publisher = "Oxford University Press",
number = "7",
}