62 citations · 313 across the 18 of their papers we have counts for
4 papers · 1 filter
The Lifebelt Particle Filter for robust estimation from low-valued count data
Alice Corbella, Trevelyan J. McKinley, Paul J. Birrell +4
Particle filtering methods can be applied to estimation problems in discrete spaces on bounded domains, to sample from and marginalise over unknown hidden states. As in continuous…
An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling
Sanmitra Ghosh, Paul J. Birrell, Daniela De Angelis
Modelling the transmission dynamics of an infectious disease is a complex task. Not only it is difficult to accurately model the inherent non-stationarity and heterogeneity of tran…
Inferring Epidemics from Multiple Dependent Data via Pseudo-Marginal Methods
Alice Corbella, Anne M Presanis, Paul J Birrell +1
Health-policy planning requires evidence on the burden that epidemics place on healthcare systems. Multiple, often dependent, datasets provide a noisy and fragmented signal from th…
A comparison of two frameworks for multi-state modelling, applied to outcomes after hospital admissions with COVID-19
Christopher Jackson, Brian Tom, Peter Kirwan +5
We compare two multi-state modelling frameworks that can be used to represent dates of events following hospital admission for people infected during an epidemic. The methods are a…