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

@article{Scarpino2015EpidemiologicalAV,
  title={Epidemiological and viral genomic sequence analysis of the 2014 ebola outbreak reveals clustered transmission.},
  author={Samuel V. Scarpino and Atila Iamarino and Chad R. Wells and Dang Yamin and Martial L Ndeffo-Mbah and Natasha S Wenzel and Spencer J. Fox and Tolbert Nyenswah and Frederick L. Altice and Alison P. Galvani and L. Meyers and Jeffrey P. Townsend},
  journal={Clinical infectious diseases : an official publication of the Infectious Diseases Society of America},
  year={2015},
  volume={60 7},
  pages={
          1079-82
        }
}
  • S. Scarpino, Atila Iamarino, J. Townsend
  • Published 1 April 2015
  • Biology
  • Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
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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