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Fluctuations for the outbreak prevalence of the SIR epidemics in complex networks

Jia-Zeng Wang and Wei-Hua Peng

Physica A: Statistical Mechanics and its Applications, 2020, vol. 548, issue C

Abstract: The contacting heterogeneity is crucial for the propagation of directed transmitted infectious diseases. Here we construct a stochastic model on the level of subgroups which are classified according to the activity degrees of the hosts. Using the central limit theorem, we present the analytical results concerning with the fluctuations around the outbreak prevalence. In particular, we get the forms of the covariance matrix for Gaussian random diffusions as well as the laws of outbreak prevalence for SIR epidemics. So that the analytical distributions for the outbreak prevalence of the SIR epidemics in complex networks are presented, which can be used in outbreak prevalence predicting and transmission intensity inferring.

Keywords: Outbreak prevalence; Covariance matrix (search for similar items in EconPapers)
Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:548:y:2020:i:c:s0378437119321387

DOI: 10.1016/j.physa.2019.123848

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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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