Responsive immunization and intervention for infectious diseases in social networks | Zendy

Qingchu Wu | Zendy; Haifeng Zhang | Zendy; Zeng Guang-hong | Zendy

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Responsive immunization and intervention for infectious diseases in social networks

Author(s) -

Qingchu Wu,

Haifeng Zhang,

Zeng Guang-hong

Publication year - 2014

Publication title -

chaos an interdisciplinary journal of nonlinear science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.971

H-Index - 113

eISSN - 1089-7682

pISSN - 1054-1500

DOI - 10.1063/1.4872177

Subject(s) - immunization , outbreak , vaccination , intervention (counseling) , epidemic model , markov chain , infectious disease (medical specialty) , value (mathematics) , routine immunization , vaccine efficacy , disease , environmental health , virology , medicine , computer science , immunology , immune system , population , machine learning , psychiatry , pathology

By using the microscopic Markov-chain approximation approach, we investigate the epidemic spreading and the responsive immunization in social networks. It is assumed that individual vaccination behavior depends on the local information of an epidemic. Our results suggest that the responsive immunization has negligible impact on the epidemic threshold and the critical value of initial epidemic outbreak, but it can effectively inhibit the outbreak of epidemic. We also analyze the influence of the intervention on the disease dynamics, where the vaccination is available only to those individuals whose number of neighbors is greater than a certain value. Simulation analysis implies that the intervention strategy can effectively reduce the vaccine use under the epidemic control.

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