Behavior of susceptible-vaccinated-infected-recovered epidemics with diversity in the infection rate of individuals.
We study a susceptible-vaccinated-infected-recovered (SVIR) epidemic-spreading model with diversity of infection rate of the individuals. By means of analytical arguments as well as extensive computer simulations, we demonstrate that the heterogeneity in infection rate can either impede or accelerate the epidemic spreading, which depends on the amount of vaccinated individuals introduced in the population as well as the contact pattern among the individuals. Remarkably, as long as the individuals with different capability of acquiring the disease interact with unequal frequency, there always exist a cross point for the fraction of vaccinated, below which the diversity of infection rate hinders the epidemic spreading and above which expedites it. The overall results are robust to the SVIR dynamics defined on different population models; the possible applications of the results are discussed.
Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou, Gansu 730000, China.
Chao-Ran
CR
Cai
Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou, Gansu 730000, China.
Zhi-Xi
ZX
Wu
Institute of Computational Physics and Complex Systems, Lanzhou University, Lanzhou, Gansu 730000, China.
Jian-Yue
JY
Guan