most citedQuantifying the risk of workplace COVID-19 clusters in terms of commuter, workplace, and population characteristics

2 citations · 2 across the 2 of their papers we have counts for

collaborators

4 papers

q-bio.PE2023

Influenza Hospitalisations in England during the 2022/23 Season: do different data sources drive divergence in modelled waves? A comparison of surveillance and administrative data

Jonathon Mellor, Rachel Christie, James Guilder +5

Accurate and representative data is vital for precisely reporting the impact of influenza in healthcare systems. Northern hemisphere winter 2022/23 experienced the most substantial…

stat.AP2023

Real-time COVID-19 hospital admissions forecasting with leading indicators and ensemble methods in England

Jonathon Mellor, Rachel Christie, Robert S Paton +6

Hospitalisations from COVID-19 with Omicron sub-lineages have put a sustained pressure on the English healthcare system. Understanding the expected healthcare demand enables more e…

stat.AP20232 cited

Quantifying the risk of workplace COVID-19 clusters in terms of commuter, workplace, and population characteristics

Christopher E. Overton, Rachel Abbey, Tarrion Baird +12

Objectives: To identify and quantify risk factors that contribute to clusters of COVID-19 in the workplace. Methods: We identified clusters of COVID-19 cases in the workplace and i…

stat.AP2023

Understanding the leading indicators of hospital admissions from COVID-19 across successive waves in the UK

Jonathon Mellor, Christopher E Overton, Martyn Fyles +4

Following the UK Government's Living with COVID-19 Strategy and the end of universal testing, hospital admissions are an increasingly important measure of COVID-19 pandemic pressur…