Historically, infectious diseases caused considerable damage to human societies, and they
continue to do so today. To help reduce their impact, mathematical models of disease …

The study of networks pervades all of science, from neurobiology to statistical physics. The
most basic issues are structural: how does one characterize the wiring diagram of a food …

Summary Background In December, 2019, severe acute respiratory syndrome coronavirus 2
(SARS-CoV-2), a novel coronavirus, emerged in Wuhan, China. Since then, the city of …

Mathematical models have played a key role in understanding the spread of directly-
transmissible infectious diseases such as Coronavirus Disease 2019 (COVID-19), as well as …

Population-level analyses often use average quantities to describe heterogeneous systems,
particularly when variation does not arise from identifiable groups,. A prominent example …

Networks and the epidemiology of directly transmitted infectious diseases are fundamentally
linked. The foundations of epidemiology and early epidemiological models were based on …

The estimation of transmission parameters has been problematic for diseases that rely
predominantly on transmission of pathogens from person to person through small infectious …

Understanding the nature of human contact patterns is crucial for predicting the impact of
future pandemics and devising effective control measures. However, few studies provide a …

Although contact network models have yielded important insights into infectious disease
transmission and control throughout the last decade, researchers have just begun to explore …

We present a method for estimating transmission matrices that describe the mixing and the
probability of infection between age groups. Transmission matrices can be used to estimate …