Social distancing strategies against disease spreading

Abstract

The recurrent infectious diseases and their increasing impact on the society has promoted the study of strategies to slow down the epidemic spreading. In this review we outline the applications of percolation theory to describe strategies against epidemic spreading on complex networks. We give a general outlook of the relation between link percolation and the susceptible-infected-recovered model, and introduce the node void percolation process to describe the dilution of the network composed by healthy individual, $i.e$, the network that sustain the functionality of a society. Then, we survey two strategies: the quenched disorder strategy where an heterogeneous distribution of contact intensities is induced in society, and the intermittent social distancing strategy where health individuals are persuaded to avoid contact with their neighbors for intermittent periods of time. Using percolation tools, we show that both strategies may halt the epidemic spreading. Finally, we discuss the role of the transmissibility, $i.e$, the effective probability to transmit a disease, on the performance of the strategies to slow down the epidemic spreading.

to be published in "Perspectives and Challenges in Statistical Physics and Complex Systems for the Next Decade", Word Scientific Press

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• Unification of theoretical approaches for epidemic spreading on complex networks
• Epidemics in partially overlapped multiplex networks
• Competing for Attention in Social Media under Information Overload Conditions
• Events Determine Spreading Patterns: Information Transmission via Internal and External Influences on Social Networks
• Epidemic spreading in multiplex networks influenced by opinion exchanges on vaccination
• Infection percolation: A dynamic network model of disease spreading
• Interacting social processes on interconnected networks
• Disease spreading with social distancing: A prevention strategy in disordered multiplex networks
• Controlling distant contacts to reduce disease spreading on disordered complex networks