Analysis and optimization of cross-immunity epidemic model on complex networks
Chao Chen (),
Hao Zhang,
Yin-Hua Wu,
Wei-Qiang Feng and
Jian Zhang
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Chao Chen: Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, P. R. China
Hao Zhang: Naval War Gaming Center, Naval Command College, Nanjing 210016, P. R. China
Yin-Hua Wu: Naval War Gaming Center, Naval Command College, Nanjing 210016, P. R. China
Wei-Qiang Feng: Naval War Gaming Center, Naval Command College, Nanjing 210016, P. R. China
Jian Zhang: Naval War Gaming Center, Naval Command College, Nanjing 210016, P. R. China
International Journal of Modern Physics C (IJMPC), 2015, vol. 26, issue 04, 1-10
Abstract:
There are various infectious diseases in real world, and these diseases often spread on a network of population and compete for the limited hosts. Cross-immunity is an important disease competing pattern, which has attracted the attention of many researchers. In this paper, we discovered an important conclusion for two cross-immunity epidemics on a network. When the infectious ability of the second epidemic takes a fixed value, the infectious ability of the first epidemic has an optimal value which minimizes the sum of the infection sizes of the two epidemics. We also proposed a simple mathematical analysis method for the infection size of the second epidemic using the cavity method. The proposed method and conclusion are verified by simulation results. Minor inaccuracies of the existing mathematical methods for the infection size of the second epidemic are also found and discussed in experiments, which have not been noticed in existing research.
Keywords: Complex networks; cross-immunity; infection size; SIR model; 89.75.Hc; 87.23.Ge; 64.60.aq (search for similar items in EconPapers)
Date: 2015
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DOI: 10.1142/S0129183115500394
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