344 citations · 498 across the 5 of their papers we have counts for
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q-bio.PE2022★ 16 cited
A computational framework for modelling infectious disease policy based on age and household structure with applications to the COVID-19 pandemic
Joe Hilton, Heather Riley, Lorenzo Pellis +9
The widespread, and in many countries unprecedented, use of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic has highlighted the need for mathematical models wh…
q-bio.PE2015
Exact and approximate moment closures for non-Markovian network epidemics
Lorenzo Pellis, Thomas House, Matt J. Keeling
Moment-closure techniques are commonly used to generate low-dimensional deterministic models to approximate the average dynamics of stochastic systems on networks. The quality of s…
q-bio.PE2010
Epidemic prediction and control in clustered populations
Thomas House, Matt J Keeling
There has been much recent interest in modelling epidemics on networks, particularly in the presence of substantial clustering. Here, we develop pairwise methods to answer question…