Spatial spread of infectious diseases among populations via the mobility of humans is highly
stochastic and heterogeneous. Accurate forecast/mining of the spread process is often hard …

Understanding how infectious diseases spatially diffuse is critical to predict and control the
epidemic prevalence. However, uncovering epidemic spatial invasion is challenging due to …

Since the 21st century, the global outbreaks of infectious diseases such as SARS in 2003,
H1N1 in 2009, and H7N9 in 2013, have become the critical threat to the public health and a …

A practical resource allocation strategy is the prerequisite for disease control during a
pandemic affected by various external factors, such as the information about the epidemic …

Understanding the feedback loop that links the spatiotemporal spread of infectious diseases
and human behavior is an open problem. To study this problem, we develop a multiplex …

An emerging disease is one infectious epidemic caused by a newly transmissible pathogen,
which has either appeared for the first time or already existed in human populations, having …

Mathematical modeling of disease outbreaks can infer the future trajectory of an epidemic,
allowing for making more informed policy decisions. Another task is inferring the origin of a …

The convenience of transportation brings the diversity of individuals' travelling modes; in this
paper, we present an improved epidemic diffusion model in a multilayer metapopulation …

Mathematical modeling of epidemics is fundamental to understand the mechanism of the
disease outbreak and provides helpful indications for effectiveness of interventions for policy …

Population migration is a critical component of large-scale spatiotemporal models of
infectious disease transmission. Identifying the most influential spreaders in networks is vital …