activity
20202022
most citedTracking the national and regional COVID-19 epidemic status in the UK using directed Principal Component Analysis

8 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

q-bio.PE2022

The role of regular asymptomatic testing in reducing the impact of a COVID-19 wave

Miguel E. P. Silva, Martyn Fyles, Li Pi +4

Testing for infection with SARS-CoV-2 is an important intervention in reducing onwards transmission of COVID-19, particularly when combined with the isolation and contact-tracing o…

stat.AP2022

Inference of Stochastic Disease Transmission Models Using Particle-MCMC and a Gradient Based Proposal

Conor Rosato, John Harris, Jasmina Panovska-Griffiths +1

State-space models have been widely used to model the dynamics of communicable diseases in populations of interest by fitting to time-series data. Particle filters have enabled the…

q-bio.PE2021★ 1 cited

Compositional modelling of immune response and virus transmission dynamics

William Waites, Matteo Cavaliere, Vincent Danos +7

Transmission models for infectious diseases are typically formulated in terms of dynamics between individuals or groups with processes such as disease progression or recovery for e…

stat.AP2021★ 8 cited

Tracking the national and regional COVID-19 epidemic status in the UK using directed Principal Component Analysis

Ben Swallow, Wen Xiang, Jasmina Panovska-Griffiths

One of the difficulties in monitoring an ongoing pandemic is deciding on the metric that best describes its status when multiple intercorrelated measurements are available. Having…

q-bio.PE2020

Rule-based epidemic models

William Waites, Matteo Cavaliere, David Manheim +2

This paper gives an introduction to rule-based modelling applied to topics in infectious diseases. Rule-based models generalise reaction-based models with reagents that have intern…