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Virus genomes reveal factors that spread and sustained the Ebola epidemic.


ABSTRACT: The 2013-2016 West African epidemic caused by the Ebola virus was of unprecedented magnitude, duration and impact. Here we reconstruct the dispersal, proliferation and decline of Ebola virus throughout the region by analysing 1,610 Ebola virus genomes, which represent over 5% of the known cases. We test the association of geography, climate and demography with viral movement among administrative regions, inferring a classic 'gravity' model, with intense dispersal between larger and closer populations. Despite attenuation of international dispersal after border closures, cross-border transmission had already sown the seeds for an international epidemic, rendering these measures ineffective at curbing the epidemic. We address why the epidemic did not spread into neighbouring countries, showing that these countries were susceptible to substantial outbreaks but at lower risk of introductions. Finally, we reveal that this large epidemic was a heterogeneous and spatially dissociated collection of transmission clusters of varying size, duration and connectivity. These insights will help to inform interventions in future epidemics.

SUBMITTER: Dudas G 

PROVIDER: S-EPMC5712493 | biostudies-literature | 2017 Apr

REPOSITORIES: biostudies-literature

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Virus genomes reveal factors that spread and sustained the Ebola epidemic.

Dudas Gytis G   Carvalho Luiz Max LM   Bedford Trevor T   Tatem Andrew J AJ   Baele Guy G   Faria Nuno R NR   Park Daniel J DJ   Ladner Jason T JT   Arias Armando A   Asogun Danny D   Bielejec Filip F   Caddy Sarah L SL   Cotten Matthew M   D'Ambrozio Jonathan J   Dellicour Simon S   Di Caro Antonino A   Diclaro Joseph W JW   Duraffour Sophie S   Elmore Michael J MJ   Fakoli Lawrence S LS   Faye Ousmane O   Gilbert Merle L ML   Gevao Sahr M SM   Gire Stephen S   Gladden-Young Adrianne A   Gnirke Andreas A   Goba Augustine A   Grant Donald S DS   Haagmans Bart L BL   Hiscox Julian A JA   Jah Umaru U   Kugelman Jeffrey R JR   Liu Di D   Lu Jia J   Malboeuf Christine M CM   Mate Suzanne S   Matthews David A DA   Matranga Christian B CB   Meredith Luke W LW   Qu James J   Quick Joshua J   Pas Suzan D SD   Phan My V T MVT   Pollakis Georgios G   Reusken Chantal B CB   Sanchez-Lockhart Mariano M   Schaffner Stephen F SF   Schieffelin John S JS   Sealfon Rachel S RS   Simon-Loriere Etienne E   Smits Saskia L SL   Stoecker Kilian K   Thorne Lucy L   Tobin Ekaete Alice EA   Vandi Mohamed A MA   Watson Simon J SJ   West Kendra K   Whitmer Shannon S   Wiley Michael R MR   Winnicki Sarah M SM   Wohl Shirlee S   Wölfel Roman R   Yozwiak Nathan L NL   Andersen Kristian G KG   Blyden Sylvia O SO   Bolay Fatorma F   Carroll Miles W MW   Dahn Bernice B   Diallo Boubacar B   Formenty Pierre P   Fraser Christophe C   Gao George F GF   Garry Robert F RF   Goodfellow Ian I   Günther Stephan S   Happi Christian T CT   Holmes Edward C EC   Kargbo Brima B   Keïta Sakoba S   Kellam Paul P   Koopmans Marion P G MPG   Kuhn Jens H JH   Loman Nicholas J NJ   Magassouba N'Faly N   Naidoo Dhamari D   Nichol Stuart T ST   Nyenswah Tolbert T   Palacios Gustavo G   Pybus Oliver G OG   Sabeti Pardis C PC   Sall Amadou A   Ströher Ute U   Wurie Isatta I   Suchard Marc A MA   Lemey Philippe P   Rambaut Andrew A  

Nature 20170412 7650


The 2013-2016 West African epidemic caused by the Ebola virus was of unprecedented magnitude, duration and impact. Here we reconstruct the dispersal, proliferation and decline of Ebola virus throughout the region by analysing 1,610 Ebola virus genomes, which represent over 5% of the known cases. We test the association of geography, climate and demography with viral movement among administrative regions, inferring a classic 'gravity' model, with intense dispersal between larger and closer popula  ...[more]

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