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

Research output: Contribution to journalArticle

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 languageEnglish (US)
Pages (from-to)1079-1082
Number of pages4
JournalClinical Infectious Diseases
Volume60
Issue number7
DOIs
StatePublished - Apr 1 2015
Externally publishedYes

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Keywords

  • clustering
  • Ebola
  • epidemiology
  • genome sequencing
  • West Africa

ASJC Scopus subject areas

  • Microbiology (medical)
  • Infectious Diseases

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