The quantification of transmissibility during epidemics is essential to designing and
adjusting public health responses. Transmissibility can be measured by the reproduction …

The availability of geocoded health data and the inherent temporal structure of
communicable diseases have led to an increased interest in statistical models and software …

Pathogen transmission depends on host density, mobility and contact. These components
emerge from host and pathogen movements that themselves arise through interactions with …

Exponential-family Random Graph Models (ERGMs) constitute a large statistical framework
for modeling dense and sparse random graphs with short-or long-tailed degree distributions …

We review the broad range of recent statistical work in social network models, with emphasis
on computational aspects of these methods. Particular focus is applied to exponential-family …

Infectious disease epidemics such as influenza and Ebola pose a serious threat to global
public health. It is crucial to characterize the disease and the evolution of the ongoing …

tsiR is an open source software package implemented in the R programming language
designed to analyze infectious disease time-series data. The software extends a well …

Motivation The ability to simulate epidemics as a function of model parameters allows
insights that are unobtainable from real datasets. Further, reconstructing transmission …

Phylogenetic inference is an attractive means to reconstruct transmission histories and
epidemics. However, there is not a perfect correspondence between transmission history …

The surveillance and preventions of infectious disease epidemics such as influenza and
Ebola are important and challenging issues. It is therefore crucial to characterize the disease …