39 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of CambridgeGB6 papers
- MRC Biostatistics UnitGB5 papers
- The Alan Turing InstituteGB3 papers
- University of ManchesterGB3 papers
- Imperial College LondonGB2 papers
- Manchester University NHS Foundation TrustGB2 papers
- University College LondonGB2 papers
- University of LiverpoolGB2 papers
- University of OxfordGB2 papers
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Cambridge University Hospitals NHS Foundation TrustGB1 paper
- Centers for Disease Control and PreventionUS1 paper
11 papers
The Open Syndrome Definition
Ana Paula Gomes Ferreira, Aleksandar Anžel, Izabel Oliva Marcilio de Souza +6
Case definitions are essential for effectively communicating public health threats. However, the absence of a standardized, machine-readable format poses significant challenges to…
A mapping-free NLP-based technique for sequence search in Nanopore long-reads
Tomasz Strzoda, Lourdes Cruz-Garcia, Mustafa Najim +2
In unforeseen situations, such as nuclear power plant's or civilian radiation accidents, there is a need for effective and computationally inexpensive methods to determine the expr…
Best practices for estimating and reporting epidemiological delay distributions of infectious diseases using public health surveillance and healthcare data
Kelly Charniga, Sang Woo Park, Andrei R Akhmetzhanov +11
Epidemiological delays, such as incubation periods, serial intervals, and hospital lengths of stay, are among key quantities in infectious disease epidemiology that inform public h…
The NOSTRA model: coherent estimation of infection sources in the case of possible nosocomial transmission
David J Pascall, Chris Jackson, Stephanie Evans +8
Nosocomial infections have important consequences for patients and hospital staff: they worsen patient outcomes and their management stresses already overburdened health systems. A…
A standardised protocol for assessment of relative SARS-CoV-2 variant severity, with application to severity risk for COVID-19 cases infected with Omicron BA.1 compared to Delta variants in six European countries
Tommy Nyberg, Peter Bager, Ingrid Bech Svalgaard +17
Several SARS-CoV-2 variants that evolved during the COVID-19 pandemic have appeared to differ in severity, based on analyses of single-country datasets. With decreased SARS-CoV-2 t…
Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers
Harry Coppock, George Nicholson, Ivan Kiskin +22
Recent work has reported that AI classifiers trained on audio recordings can accurately predict severe acute respiratory syndrome coronavirus 2 (SARSCoV2) infection status. Here, w…
An approximate diffusion process for environmental stochasticity in infectious disease transmission modelling
Sanmitra Ghosh, Paul J. Birrell, Daniela De Angelis
Modelling the transmission dynamics of an infectious disease is a complex task. Not only it is difficult to accurately model the inherent non-stationarity and heterogeneity of tran…
Lessons learnt from the recent EURADOS intercomparisons in computational dosimetry
Hans Rabus, Maria Zankl, Jose Maria Gomez-Ros +5
Organized by Working Group 6 "Computational Dosimetry" of the European Radiation Dosimetry Group (EURADOS), a group of intercomparison exercises was conducted in which participants…
Novel methods for estimating the instantaneous and overall COVID-19 case fatality risk among care home residents in England
Christopher E. Overton, Luke Webb, Uma Datta +10
The COVID-19 pandemic has had high mortality rates in the elderly and frail worldwide, particularly in care homes. This is driven by the difficulty of isolating care homes from the…
Trends in COVID-19 hospital outcomes in England before and after vaccine introduction, a cohort study
Peter Kirwan, Andre Charlett, Paul Birrell +5
Widespread vaccination campaigns have changed the landscape for COVID-19, vastly altering symptoms and reducing morbidity and mortality. We estimate trends in mortality by month of…
EpiBeds: Data informed modelling of the COVID-19 hospital burden in England
Christopher E. Overton, Lorenzo Pellis, Helena B. Stage +9
The first year of the COVID-19 pandemic put considerable strain on the national healthcare system in England. In order to predict the effect of the local epidemic on hospital capac…