Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …

Agent-based modeling and simulation have evolved as a powerful tool for modeling
complex systems, offering insights into emergent behaviors and interactions among diverse …

Many European countries have responded to the COVID-19 pandemic by implementing
nationwide protection measures and lockdowns. However, the epidemic could rebound …

Abstract The coronavirus disease 2019 (COVID-19) has resulted in an ongoing pandemic
worldwide. Countries have adopted non-pharmaceutical interventions (NPI) to slow down …

Coupled human and natural systems (CHANS) manifest various complexities such as
heterogeneity, nonlinearity, feedback, and emergence. Humans play a critical role in …

The novel SARS‐CoV2 has disrupted health systems and the economy, and public health
interventions to slow its spread have been costly. How and when to ease restrictions to …

Abstract Background Individual-based models (IBMs) are useful to simulate events subject
to stochasticity and/or heterogeneity, and have become well established to model the …

The ongoing outbreak of the COVID-19 as the current global concern threatens lives of
many people around the world. COVID-19 is highly contagious so that it has infected more …

Agent-based simulation modelling has been used in many epidemiological studies on
infectious diseases. However, because agent based modelling is a field without any clear …

Medical imaging, human genome research, clinical diagnosis, and medical data
management are all areas where computer technology plays a critical role in modern …