Fig 2. R₀ sensitivity analysis.

Left: A tornado plot showing the independent sensitivity of R₀ to changes in the model parameters. Black bars indicate the value of R₀ when the associated parameter is increased by 25% from its nominal value. White bars indicate the value of R₀ when the associated parameter is decreased by 25%. Right: A Partial Rank Correlation Coefficient (PRCC) analysis was preformed with respect to R₀ highlighting the inter-correlated sensitivities of each of the model parameters. The blue bars show the mean value of each PRCC, with error bars at one standard deviation. This analysis was preformed by sampling over uniform distributions of 15% around the nominal model parameter values in line with the methods provided by Blower and Dowlatabadi (1994) [45].