Memory-induced complex contagion in epidemic spreading

TL;DR

This paper introduces a memory-based infection model for epidemic spreading that reveals new phases and complex behaviors, highlighting the importance of non-Markovian effects in disease dynamics.

Contribution

It develops a novel epidemic model incorporating memory and multiple sources, uncovering new phases and behaviors not seen in traditional models.

Findings

Discovery of an intermediate phase separating healthy and endemic states

Emergence of excitability and bistability due to memory effects

Hybrid transition characteristics to endemicity

Abstract

Albeit epidemic models have evolved into powerful predictive tools for the spread of diseases and opinions, most assume memoryless agents and independent transmission channels. We develop an infection mechanism that is endowed with memory of past exposures and simultaneously incorporates the joint effect of multiple infectious sources. Analytic equations and simulations of the susceptible-infected-susceptible model in unstructured substrates reveal the emergence of an additional phase that separates the usual healthy and endemic ones. This intermediate phase shows fundamentally distinct characteristics, and the system exhibits either excitability or an exotic variant of bistability. Moreover, the transition to endemicity presents hybrid aspects. These features are the product of an intricate balance between two memory modes and indicate that non-Markovian effects significantly alter the properties of spreading processes.