Modeling Complex Systems: A Case Study of Compartmental Models in Epidemiology

Figure 4

Effect of heterogeneous connectivity, infectiousness, and susceptibility on the final epidemic size. For a given value of , varying the clustering parameter from 0 to 1 (and adjusting the contact parameter so as to maintain the same value of ) in a population containing two groups can lead to epidemics of different sizes. The dashed lines show the epidemic sizes for the same values of in a completely homogeneous model. Parameter values are (see equation (C.2)); equation (17) was used to calculate the final epidemic size .