#stayhome to contain Covid-19: Neuro-SIR – Neurodynamical epidemic modeling of infection patterns in social networks. (1st March 2021)

• Record Type: Journal Article
• Authors: Lymperopoulos, Ilias N.
• Is Part Of: Expert systems with applications. Volume 165(2021)
• Publication Date: 2021-03-01
• Subjects: Epidemic modeling -- Spreading of diseases -- SIR epidemic models -- Leaky integrate-and-fire neurons -- Contagion in social networks -- Neural networks; Expert systems (Computer science) -- Periodicals; Systèmes experts (Informatique) -- Périodiques; Electronic journals; 006.33
• DOI: 10.1016/j.eswa.2020.113970
• Languages: English
• ISSNs: 0957-4174

Abstract

Abstract: An innovative neurodynamical model of epidemics in social networks – the Neuro-SIR – is introduced. Susceptible–Infected–Removed (SIR) epidemic processes are mechanistically modeled as analogous to the activity propagation in neuronal populations. The workings of infection transmission from individual to individual through a network of social contacts, is driven by the dynamics of the threshold mechanism of leaky integrate-and-fire neurons. Through this approach a dynamically evolving landscape of the susceptibility of a population to a disease is formed. In this context, epidemics with varying velocities and scales are triggered by a small fraction of infected individuals according to the configuration of various endogenous and exogenous factors representing the individuals' vulnerability, the infectiousness of a pathogen, the density of a contact network, and environmental conditions. Adjustments in the length of immunity (if any) after recovery, enable the modeling of the Susceptible–Infected–Recovered–Susceptible (SIRS) process of recurrent epidemics. Neuro-SIR by supporting an impressive level of heterogeneities in the description of a population, contagiousness of a disease, and external factors, allows a more insightful investigation of epidemic spreading in comparison with existing approaches. Through simulation experiments with Neuro-SIR, we demonstrate the effectiveness of the #stayhome strategy for containing Covid-19, and successfully validate the simulation results against the classical epidemiological theory. Neuro-SIR is applicable in designing and assessing prevention and control strategies for spreading diseases, as well as in predicting the evolution pattern of epidemics. 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.