Scarpino, S. V.,Iamarino, A.,Wells, C.,Dan, Y. M.,Ndeffo-Mbah, M.,Wenzel, N. S.,Fox, S. J.,Nyenswah, T.,Altice, F. L.,Galvani, A. P.,Meyers, L. A.,Townsend, J. P.
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.