title: Prevention of infectious diseases by public vaccination and individual protection.
abstract: In the face of serious infectious diseases, governments endeavour to implement containment measures such as public vaccination at a macroscopic level. Meanwhile, individuals tend to protect themselves by avoiding contacts with infections at a microscopic level. However, a comprehensive understanding of how such combined strategy influences epidemic dynamics is still lacking. We study a susceptible-infected-susceptible epidemic model with imperfect vaccination on dynamic contact networks, where the macroscopic intervention is represented by random vaccination of the population and the microscopic protection is characterised by susceptible individuals rewiring contacts from infective neighbours. In particular, the model is formulated both in populations without and then with demographic effects (births, deaths, and migration). Using the pairwise approximation and the probability generating function approach, we investigate both dynamics of the epidemic and the underlying network. For populations without demography, the emerging degree correlations, bistable states, and oscillations demonstrate the combined effects of the public vaccination program and individual protective behavior. Compared to either strategy in isolation, the combination of public vaccination and individual protection is more effective in preventing and controlling the spread of infectious diseases by increasing both the invasion threshold and the persistence threshold. For populations with additional demographic factors, we investigate temporal evolution of infected individuals and infectious contacts, as well as degree distributions of nodes in each class. It is found that the disease spreads faster but is more restricted in scale-free networks than in the Erdös-Rényi ones. The integration between vaccination intervention and individual rewiring may promote epidemic spreading due to the birth effect. Moreover, the degree distributions of both networks in the steady state is closely related to the degree distribution of newborns, which leads to uncorrelated connectivity. All the results demonstrate the importance of both local protection and global intervention, as well as the demographic effects. Our work thus offers a more comprehensive description of disease containment.
authors.affiliation: Complex Systems Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China. xlpeng@sxu.edu.cn.
authors.forename: Xiao-Long
authors.initials: XL
authors.lastname: Peng
authors.affiliation: Department of Mathematics, Shanghai University, Shanghai, 200444, China.
authors.forename: Xin-Jian
authors.initials: XJ
authors.lastname: Xu
authors.affiliation: School of Mathematics and Statistics, The University of Western Australia, Crawley, WA, 6009, Australia.|Mineral Resources, CSIRO, Kensington, WA, 6151, Australia.
authors.forename: Michael
authors.initials: M
authors.lastname: Small
authors.affiliation: Department of Mathematics, Shanghai University, Shanghai, 200444, China.
authors.forename: Xinchu
authors.initials: X
authors.lastname: Fu
authors.affiliation: Complex Systems Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China.
authors.forename: Zhen
authors.initials: Z
authors.lastname: Jin
mesh_terms: D003140:Communicable Disease Control / Q000379:methods*; D058872:Epidemics / Q000517:prevention & control*; D006801:Humans; D008954:Models, Biological; D011634:Public Health / Q000379:methods*; D014611:Vaccination
keywords: Contact rewiring; Dynamic networks; Infectious diseases; Random vaccination