Pandemics are large-scale outbreaks of infectious disease that can greatly increase
morbidity and mortality over a wide geographic area and cause significant economic, social …

In recent years the research community has accumulated overwhelming evidence for the
emergence of complex and heterogeneous connectivity patterns in a wide range of …

Purpose Using the constructal law of physics this study aims to provide guidance to future
scholarship on global supply chain management. Further, through two case studies the …

The COVID-19 pandemic has affected our cities in monumental ways with no sector likely
being more severely impacted than transport. Lockdowns, physical spacing, transport …

Mathematical and computational modeling approaches are increasingly used as
quantitative tools in the analysis and forecasting of infectious disease epidemics. The …

Infectious disease occurs when a person is infected by a pathogen from another person or
an animal. It is a problem that causes harm at both individual and macro scales. The Korea …

Recent years have witnessed an explosion of extensive geolocated datasets related to
human movement, enabling scientists to quantitatively study individual and collective …

Our understanding of the dynamics of complex networked systems has increased
significantly in the last two decades. However, most of our knowledge is built upon assuming …

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 …

The global spread of epidemics, rumors, opinions, and innovations are complex, network-
driven dynamic processes. The combined multiscale nature and intrinsic heterogeneity of …