Figure 6.

The human final epidemic size is sensitive to the annual mean (oscillation) temperature, T_m, and several important control-related parameters: (a) the seasonal divergence of the annual temperature from the mean, T_a; (b) the human recovery rate, γ_h; (c) the human vaccination rate, δ_h; (d) the scaling factor of vector biting rate, $c_{b_v}$; (e) the probability of transmission from the mosquito to the human, β_vh; (f ) the scaling factor of the probability of transmission from the human to the mosquito, $c_{{\beta }_{hv}}$; (g) the scaling factor of the vector mortality rate, c_ls; (h) the vector carrying capacity, κ_v; and (i) the egg survival probability scaling factor, $c_{{\nu }_v}$. The annual mean (oscillation) temperature varies along the x-axis, the seasonal divergence of the annual temperature from the mean and the other parameters that are sensitive to control measures vary along the y-axes, and the colour scale indicates the total infectious humans. Apart from (a), where the temperature amplitude (T_a) is varying, the amplitude is set at 10°C for the other plots. Plot (a) shows that there can be large epidemics even when mean temperatures are low if the seasonal variation (the amplitude) is high enough, as would be found in subtropical and temperate regions.