Epidemiological and viral genomic sequence analysis of the 2014 Ebola outbreak reveals clustered transmission

Samuel V. Scarpino; Atila Iamarino; Chad Wells; Dan Yamin; Martial Ndeffo-Mbah; Natasha S. Wenzel; Spencer J. Fox; Tolbert Nyenswah; Frederick L. Altice; Alison P. Galvani; Lauren Ancel Meyers; Jeffrey P. Townsend

doi:10.1093/cid/ciu1131

Epidemiological and viral genomic sequence analysis of the 2014 Ebola outbreak reveals clustered transmission

Samuel V. Scarpino, Atila Iamarino, Chad Wells, Dan Yamin, Martial Ndeffo-Mbah, Natasha S. Wenzel, Spencer J. Fox, Tolbert Nyenswah, Frederick L. Altice, Alison P. Galvani, Lauren Ancel Meyers, Jeffrey P. Townsend^*

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

52 Scopus citations

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.

Original language	English
Pages (from-to)	1079-1082
Number of pages	4
Journal	Clinical Infectious Diseases
Volume	60
Issue number	7
DOIs	https://doi.org/10.1093/cid/ciu1131
State	Published - 1 Apr 2015
Externally published	Yes

Funding

Funders	Funder number
Fundacao de Amparo a Pesquisa de Sao Paulo	13/15144-8
National Science Foundation	1514673
National Institutes of Health	5 U01 GM105627, U01GM087719, K24 DA017072
National Center for Advancing Translational Sciences	UL1TR000142
Santa Fe Institute
Notsew Orm Sands Foundation

Keywords

Ebola
West Africa
clustering
epidemiology
genome sequencing

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1093/cid/ciu1131

Cite this

Scarpino, S. V., Iamarino, A., Wells, C., Yamin, D., Ndeffo-Mbah, M., Wenzel, N. S., Fox, S. J., Nyenswah, T., Altice, F. L., Galvani, A. P., Meyers, L. A., & Townsend, J. P. (2015). Epidemiological and viral genomic sequence analysis of the 2014 Ebola outbreak reveals clustered transmission. Clinical Infectious Diseases, 60(7), 1079-1082. https://doi.org/10.1093/cid/ciu1131

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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.",

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AU - Iamarino, Atila

AU - Wells, Chad

AU - Yamin, Dan

AU - Ndeffo-Mbah, Martial

AU - Wenzel, Natasha S.

AU - Fox, Spencer J.

AU - Nyenswah, Tolbert

AU - Altice, Frederick L.

AU - Galvani, Alison P.

AU - Meyers, Lauren Ancel

AU - Townsend, Jeffrey P.

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KW - epidemiology

KW - genome sequencing

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Epidemiological and viral genomic sequence analysis of the 2014 Ebola outbreak reveals clustered transmission

Abstract

Funding

Keywords

UN SDGs

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