Large and moderate deviation principles for susceptible-infected-removed epidemic in a random environment

Xiaofeng XUE , Yumeng SHEN

Front. Math. China ›› 2021, Vol. 16 ›› Issue (4) : 1117 -1161.

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Front. Math. China ›› 2021, Vol. 16 ›› Issue (4) : 1117 -1161. DOI: 10.1007/s11464-021-0958-x
RESEARCH ARTICLE
RESEARCH ARTICLE

Large and moderate deviation principles for susceptible-infected-removed epidemic in a random environment

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Abstract

We are concerned with SIR epidemics in a random environment on complete graphs, where edges are assigned with i.i.d. weights. Our main results give large and moderate deviation principles of sample paths of this model. Our results generalize large and moderate deviation principles of the classic SIR models given by E. Pardoux and B. Samegni-Kepgnou [J. Appl. Probab., 2017, 54: 905-920] and X. F. Xue [Stochastic Process. Appl., 2019, 140: 49-80].

Keywords

large deviation / moderate deviation / susceptible-infected-removed (SIR) / epidemic / random environment

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Xiaofeng XUE, Yumeng SHEN. Large and moderate deviation principles for susceptible-infected-removed epidemic in a random environment. Front. Math. China, 2021, 16(4): 1117-1161 DOI:10.1007/s11464-021-0958-x

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