We use a multivariate formulation of sequential Monte Carlo filter thatutilizes mechanistic models for Ebola virus propagation and available incidencedata to simultaneously estimate the disease progression states and the modelparameters. This method has the advantage of performing the inference online asthe new data becomes available and estimates the evolution of basicreproductive ratio $R_0(t)$ of the Ebola outbreak through time. Our analysisidentifies a peak in the basic reproductive ratio close to the time when Ebolacases were reported in Europe and the USA.
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