Individual-based network model for Rift Valley fever in Kabale District, Uganda
Fig 5
Comparisons among fractions of infected cows for homogeneous network for three different values of k and upper range of β; fractions of infected for all three values of k were almost overlapping, therefore, not sensitive to the movement probability.
They reached a value very close to one, i.e., the whole network became infected when transmission rate β reached 0.01 for the three networks. Therefore, fractions of infected cows were also independent of the transmission rate.