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researcher

Robert S. Paton

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • stat.AP2
  • q-bio.PE1
ORCID 0000-0002-0104-4166

identity via Semantic Scholar / OpenAlex

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

2 citations · 3 across the 3 of their papers we have counts for

collaborators

3 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★ 2 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★ 1 cited

Forecasting influenza hospital admissions within English sub-regions using hierarchical generalised additive models

Jonathon Mellor, Rachel Christie, Christopher E Overton +5

Background: Seasonal influenza causes a substantial burden on healthcare services over the winter period when these systems are already under pressure. Policies during the COVID-19…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.