#stayhome to contain Covid-19: Neuro-SIR – Neurodynamical epidemic modeling of infection patterns in social networks
作者：
Highlights：
• Novel neurodynamical modeling of epidemics in social networks.
• Epidemics are modeled as analogous to activity propagation in neural populations.
• Infection transmission occurs through an integrate-and-fire threshold mechanism.
• Endogenous and exogenous highly heterogeneous epidemic factors are incorporated.
• Neuro-SIR is applicable in designing and assessing epidemic control strategies.
摘要
•Novel neurodynamical modeling of epidemics in social networks.•Epidemics are modeled as analogous to activity propagation in neural populations.•Infection transmission occurs through an integrate-and-fire threshold mechanism.•Endogenous and exogenous highly heterogeneous epidemic factors are incorporated.•Neuro-SIR is applicable in designing and assessing epidemic control strategies.
论文关键词：Epidemic modeling,Spreading of diseases,SIR epidemic models,Leaky integrate-and-fire neurons,Contagion in social networks,Neural networks
论文评审过程：Received 24 May 2020, Revised 11 August 2020, Accepted 2 September 2020, Available online 3 September 2020, Version of Record 8 September 2020.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.113970
