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Virus genomes reveal factors that spread and sustained the Ebola epidemic

Dudas, G; Carvalho, LM; Bedford, T; Tatem, AJ; Baele, G; Faria, NR; Park, DJ; ... Rambaut, A; + view all (2017) Virus genomes reveal factors that spread and sustained the Ebola epidemic. Nature , 544 (7650) pp. 309-315. 10.1038/nature22040. Green open access

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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.

Type: Article
Title: Virus genomes reveal factors that spread and sustained the Ebola epidemic
Location: England
Open access status: An open access version is available from UCL Discovery
DOI: 10.1038/nature22040
Publisher version: https://doi.org/10.1038/nature22040
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Climate, Disease Outbreaks, Ebolavirus, Genome, Viral, Geography, Hemorrhagic Fever, Ebola, Humans, Internationality, Linear Models, Molecular Epidemiology, Phylogeny, Travel
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Infection and Immunity
URI: https://discovery.ucl.ac.uk/id/eprint/10086282
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