287 citations · 571 across the 10 of their papers we have counts for
10 papers
Sampling through time and phylodynamic inference with coalescent and birth-death models
Erik M. Volz, Simon DW Frost
Many population genetic models have been developed for the purpose of inferring population size and growth rates from random samples of genetic data. We examine two popular approac…
Edge-Based Compartmental Modeling for Infectious Disease Spread Part III: Disease and Population Structure
Joel C. Miller, Erik M. Volz
We consider the edge-based compartmental models for infectious disease spread introduced in Part I. These models allow us to consider standard SIR diseases spreading in random popu…
Edge-Based Compartmental Modeling for Infectious Disease Spread Part I: An Overview
Joel C. Miller, Anja C. Slim, Erik M. Volz
The primary tool for predicting infectious disease spread and intervention effectiveness is the mass action Susceptible-Infected-Recovered model of Kermack and McKendrick. Its usef…
Edge-based compartmental modeling for epidemic spread Part II: Model Selection and Hierarchies
Joel C. Miller, Erik M. Volz
We consider the edge-based compartmental models for epidemic spread developed in Part I. We show conditions under which simpler models may be substituted for more detailed models,…
Dynamics of infectious disease in clustered networks with arbitrary degree distributions
Erik M Volz
We investigate the effects of heterogeneous and clustered contact patterns on the timescale and final size of infectious disease epidemics. The abundance of transitive relationship…
SIR epidemics in dynamic contact networks
Erik Volz, Lauren Ancel Meyers
Contact patterns in populations fundamentally influence the spread of infectious diseases. Current mathematical methods for epidemiological forecasting on networks largely assume t…