287 citations · 1.1k across the 32 of their papers we have counts for
6 papers · 1 filter
Concurrency measures in the era of temporal network epidemiology: A review
Naoki Masuda, Joel C. Miller, Petter Holme
Diseases spread over temporal networks of interaction events between individuals. Structures of these temporal networks hold the keys to understanding epidemic propagation. One ear…
Key Questions for Modelling COVID-19 Exit Strategies
Robin N Thompson, T Deirdre Hollingsworth, Valerie Isham +40
Combinations of intense non-pharmaceutical interventions ('lockdowns') were introduced in countries worldwide to reduce SARS-CoV-2 transmission. Many governments have begun to impl…
The impact of network properties and mixing on control measures and disease-induced herd immunity in epidemic models: a mean-field model perspective
Francesco Di Lauro, Luc Berthouze, Matthew D. Dorey +2
The contact structure of a population plays an important role in transmission of infection. Many ``structured models'' capture aspects of the contact structure through an underlyin…
A Data-Driven Network Model for the Emerging COVID-19 Epidemics in Wuhan, Toronto and Italy
Ling Xue, Shuanglin Jing, Joel C. Miller +5
The ongoing Coronavirus Disease 2019 (COVID-19) pandemic threatens the health of humans and causes great economic losses. Predictive modelling and forecasting the epidemic trends a…
Stochasticity and heterogeneity in the transmission dynamics of SARS-CoV-2
Benjamin M. Althouse, Edward A. Wenger, Joel C. Miller +4
SARS-CoV-2 causing COVID-19 disease has moved rapidly around the globe, infecting millions and killing hundreds of thousands. The basic reproduction number, which has been widely u…
EoN (Epidemics on Networks): a fast, flexible Python package for simulation, analytic approximation, and analysis of epidemics on networks
Joel C. Miller, Tony TIng
We provide a description of the Epidemics on Networks (EoN) python package designed for studying disease spread in static networks. The package consists of over methods avail…