Stochasticity of disease spreading derived from the microscopic simulation approach for various physical contact networks

作者：

Highlights：

• An agent-based disease spreading model is examined on various topologies.

• Final epidemic size and epidemic threshold are the main concern of the study.

• Strong locality in ring and 2D lattice brings wide stochastic deviation as opposed to random regular graph.

• Results on heterogeneous networks show less stochastic variations compared to homogeneous networks.

摘要

•An agent-based disease spreading model is examined on various topologies.•Final epidemic size and epidemic threshold are the main concern of the study.•Strong locality in ring and 2D lattice brings wide stochastic deviation as opposed to random regular graph.•Results on heterogeneous networks show less stochastic variations compared to homogeneous networks.

论文关键词：Mathematical epidemiology,SIR process,Multi-agent simulation

论文评审过程：Received 2 April 2022, Revised 6 June 2022, Accepted 12 June 2022, Available online 21 June 2022, Version of Record 21 June 2022.

论文官网地址：https://doi.org/10.1016/j.amc.2022.127328