6 citations · 11 across the 4 of their papers we have counts for
4 papers
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…
Trends in risks of severe events and lengths of stay for COVID-19 hospitalisations in England over the pre-vaccination era: results from the Public Health England SARI-Watch surveillance scheme
Peter D. Kirwan, Suzanne Elgohari, Christopher H. Jackson +4
Background: Trends in hospitalised case-fatality risk (HFR), risk of intensive care unit (ICU) admission and lengths of stay for patients hospitalised for COVID-19 in England over…
Analysing Multiple Epidemic Data Sources
Daniela De Angelis, Anne M. Presanis
Evidence-based knowledge of infectious disease burden, including prevalence, incidence, severity and transmission, in different population strata and locations, and possibly in rea…
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…