Effect of vaccination strategies on the dynamic behavior of epidemic spreading and vaccine coverage

Abstract

a b s t r a c tThe transmission of infectious, yet vaccine-preventable, diseases is a typical complex social phenomenon, where the increasing level of vaccine update in the population helps to inhibit the epidemic spreading, which in turn, however, discourages more people to participate in vaccination campaigns, due to the ''externality effect'' raised by vaccination. We herein study the impact of vaccination strategies, pure, continuous (rather than adopt vaccination definitely, the individuals choose to taking vaccine with some probabilities), or continuous with randomly mutation, on the vaccination dynamics with a spatial susceptible-vaccinated-infected-recovered (SVIR) epidemiological model. By means of extensive Monte-Carlo simulations, we show that there is a crossover behavior of the final vaccine coverage between the pure-strategy case and the continuous-strategy case, and remarkably, both the final vaccination level and epidemic size in the continuous-strategy case are less than them in the pure-strategy case when vaccination is cheap. We explain this phenomenon by analyzing the organization process of the individuals in the continuous-strategy case in the equilibrium. Our results are robust to the SVIR dynamics defined on other spatial networks, like the Erd} os-Rényi and Barabási-Albert networks.

Behavioural change models for infectious disease transmission: a systematic review (2010–2015)

“…We retrieved 26 papers [13,20,27–31,33,37–39,44,46,54,69,89,91,93,137,143,150,152,154,156,159,164] describing a BCM with an objective function with imitation. It is recognized that some social or peer influence should be incorporated in the decision-making process of the individuals (see also models with information as a dynamic parameter).…”

On the impact of epidemic severity on network immunization algorithms

“…of deterministic and stochastic compartmental models has been proposed to capture the heterogeneity in contact patterns (Ferguson et al, 2003;Keeling et al, 1997;Lefevre and Picard, 1989;Meyers, 2006;Yorke et al, 1989). Network epidemic is a recent advancement in epidemiology taking into account heterogeneous social structures of real population (Cai et al, 2014;Lewis, 2009;Meyers, 2006;Ventresca and Aleman, 2013).…”

Coevolution spreading in complex networks

“…The increasing level of vaccination in the population helps to inhibit the epidemic spreading, which in turn, however, discourages people from participating in vaccination owing to the cost. Cai et al [310] studied the impact of some other vaccination strategies on the epidemic spreading. The epidemic and game dynamics are similar to the above process in Eq.…”