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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…
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…