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Public Health|May 8, 2025
Validation of a Difference-in-Differences Investigation Tool (DiD IT) for quantifying local outbreaksRoger Morbey, Andre Charlett, Dan Todkill, et al.Epidemiology and Infection|March 15, 2023
DiD IT?: a differences-in-differences investigation tool to quantify the impact of local incidents on public health using real-time syndromic surveillance health dataRoger Morbey, Dan Todkill, Daniella DeAngelis, et al.Plos One|January 27, 2025
Using machine learning to forecast peak health care service demand in real-time during the 2022-23 winter season: A pilot in England, UKRoger A Morbey, Dan Todkill, Phil Moura, et al.BMJ Open|December 5, 2020
Environmental factors associated with general practitioner consultations for allergic rhinitis in London, England: a retrospective time series analysisDan Todkill, Felipe de Jesus Colon Gonzalez, Roger Morbey, et al.Online Journal of Public Health Informatics|January 27, 2022
Evaluating multi-purpose syndromic surveillance systems - a complex problemRoger Morbey, Gillian Smith, Isabel Oliver, et al.International Journal of Environmental Research and Public Health|April 12, 2022
The Utility of Ambulance Dispatch Call Syndromic Surveillance for Detecting and Assessing the Health Impact of Extreme Weather Events in EnglandSimon Packer, Paul Loveridge, Ana Soriano, et al.Emergency Medicine Journal : EMJ|June 30, 2019
Potential added value of the new emergency care dataset to ED-based public health surveillance in England: an initial concept analysisRoger Morbey, Helen Hughes, Gillian Smith, et al.BMC Public Health|May 21, 2017
Correcting for day of the week and public holiday effects: improving a national daily syndromic surveillance service for detecting public health threatsElizabeth Buckingham-Jeffery, Roger Morbey, Thomas House, et al.Journal of Public Health (Oxford, England)|February 4, 2020
Investigating regional variation of respiratory infections in a general practice syndromic surveillance systemSue Smith, Roger Morbey, Simon de Lusignan, et al.Bioinformatics (Oxford, England)|July 23, 2015
The application of a novel 'rising activity, multi-level mixed effects, indicator emphasis' (RAMMIE) method for syndromic surveillance in EnglandRoger A Morbey, Alex J Elliot, Andre Charlett, et al.Pageof 22