The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

Abstract Models of epidemic spreading on complex networks have attracted great attention
among researchers in physics, mathematics, and epidemiology due to their success in …

INTRODUCTION The role of transmission heterogeneities in severe acute respiratory
syndrome coronavirus 2 (SARS-CoV-2) dynamics remains unclear, particularly those …

Over the past decade, the use of networks has led to a new modelling paradigm combining
several branches of science, including physics, mathematics, biology and social sciences …

Animal social networks are descriptions of social structure which, aside from their intrinsic
interest for understanding sociality, can have significant bearing across many fields of …

In the absence of drugs and vaccines, policymakers use non-pharmaceutical interventions
such as social distancing to decrease rates of disease-causing contact, with the aim of …

Coordination among social animals requires rapid and efficient transfer of information
among individuals, which may depend crucially on the underlying structure of the …

Social distancing orders have been enacted worldwide to slow the coronavirus disease
(COVID-19) pandemic, reduce strain on healthcare systems, and prevent deaths. To …

Although COVID-19 has caused severe suffering globally, the efficacy of nonpharmaceutical
interventions has been greater than typical models have predicted. Meanwhile, evidence is …

The primary tool for predicting infectious disease spread and intervention effectiveness is
the mass action susceptible–infected–recovered model of Kermack & McKendrick. Its …