3 papers
stat.AP2026
A Bayesian factor analysis model for non-randomised staggered designs
Constantin Schmidt, Shaun R. Seaman, Beatrice Emmanouil +4
The employment of peer supporter workers starting in 2018 was one of the interventions deployed by National Health Service England as part of its Hepatitis C virus (HCV) eliminatio…
stat.CO2026
A computationally efficient framework for realistic epidemic modelling through Gaussian Markov random fields
Angelos Alexopoulos, Paul Birrell, Daniela De Angelis
We tackle limitations of ordinary differential equation-driven Susceptible-Infections-Removed (SIR) models and their extensions that have recently be employed for epidemic nowcasti…
stat.ME2025
Estimating the duration of RT-PCR positivity for SARS-CoV-2 from doubly interval censored data with undetected infections
Joshua Blake, Paul Birrell, A. Sarah Walker +5
Monitoring the incidence of new infections during a pandemic is critical for an effective public health response. General population prevalence surveys for SARS-CoV-2 can provide h…