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

Clin Infect Dis

Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut Program in Computational Biology and Bioinformatics Department of Ecology and Evolutionary Biology, Yale University, New Haven, Connecticut.

Published: April 2015

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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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4375398PMC
http://dx.doi.org/10.1093/cid/ciu1131DOI Listing

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