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Epidemic spread in bipartite network by considering risk awareness

She Han, Mei Sun, Benjamin Chris Ampimah and Dun Han

Physica A: Statistical Mechanics and its Applications, 2018, vol. 492, issue C, 1909-1916

Abstract: Human awareness plays an important role in the spread of infectious diseases and the control of propagation patterns. Exploring the interplay between human awareness and epidemic spreading is a topic that has been receiving increasing attention. Considering the fact, some well-known diseases only spread between different species we propose a theoretical analysis of the Susceptible–Infected–Susceptible (SIS) epidemic spread from the perspective of bipartite network and risk aversion. Using mean field theory, the epidemic threshold is calculated theoretically. Simulation results are consistent with the proposed analytic model. The results show that, the final infection density is negative linear with the value of individuals’ risk awareness. Therefore, the epidemic spread could be effectively suppressed by improving individuals’ risk awareness.

Keywords: Human awareness; Infectious diseases; Bipartite network; Epidemic threshold (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:492:y:2018:i:c:p:1909-1916

DOI: 10.1016/j.physa.2017.11.107

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Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis

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