6 citations · 11 across the 4 of their papers we have counts for
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stat.CO2025
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.CO2016★ 5 cited
Efficient real-time monitoring of an emerging influenza epidemic: how feasible?
Paul J Birrell, Lorenz Wernisch, Brian D M Tom +4
A prompt public health response to a new epidemic relies on the ability to monitor and predict its evolution in real time as data accumulate. The 2009 A/H1N1 outbreak in the UK rev…