Colin R Simpson1, Benjamin D Thomas2, Kirsty Challen3, Daniela De Angelis4, Ellen Fragaszy5, Steve Goodacre3, Andrew Hayward6, Wei Shen Lim7, G James Rubin8, Malcolm G Semple9, Marian Knight10. 1. School of Health, Wellington Faculty of Health, Victoria University of Wellington, Wellington, New Zealand; Usher Institute, The University of Edinburgh, Edinburgh, EH89AG, UK. Electronic address: colin.simpson@vuw.ac.nz. 2. Clinical Trials Research Unit, School of Health and Related Research, University of Sheffield, Sheffield, UK. 3. Centre for Urgent and Emergency Care Research, School of Health and Related Research, University of Sheffield, Sheffield, UK. 4. MRC Biostatistics Unit, University of Cambridge, Cambridge, UK. 5. Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK; Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK. 6. Centre for Public Health Data Science, Institute of Health Informatics, University College London, London, UK; Institute of Epidemiology and Health Care, University College London, London, UK. 7. Nottingham University Hospitals NHS Trust, Nottingham, UK. 8. Department of Psychological Medicine, Weston Education Centre, King's College London, London, UK. 9. Health Protection Research Unit in Emerging and Zoonotic Infections, Faculty of Health and Life Sciences, University of Liverpool, Liverpool, UK. 10. National Perinatal Epidemiology Unit, University of Oxford, Oxford, UK.
In response to delays in research for 2009 influenza A/H1N1, in 2012 the National Institute for Health Research (NIHR), a UK funder, funded a portfolio of nine projects. These projects were put on standby in a maintenance-only state awaiting activation in the event of new influenza pandemic. The portfolio covered key pathways of health care, including surveillance, primary prevention, triage, and clinical management. In 2018, a request was made by NIHR to adapt these projects to include new and emerging infectious diseases. All projects were able to be repurposed and eight have now been activated in response to the coronavirus disease 2019 (COVID-19) pandemic.The Flu Telephone Survey Template study (FluTEST; ISRCTN40930724) is the first study to be activated and is a survey of public knowledge, attitudes, and behaviour that has been assessing the effect of official communications on behaviour change in the community (appendix pp 1–4). The Early estimation of pandemic influenza Antiviral and Vaccine Effectiveness (EAVE; ISRCTN55398410) study uses a community and national laboratory dataset to link primary care data with serological, hospital, and mortality outcome data. This study is to be expanded (EAVEII) with data from 5 million patients in addition to new datasets including hospital ePrescribing and intensive care unit data. Risk factors for infection and severe morbidity and mortality and potential therapy and vaccine effectiveness and safety are also to be explored as part of the study. The Pandemic Influenza Community Assessment Tools study (FLU-CATS; ISRCTN87130712) runs each winter influenza season to engage in real-time refinement and validation of criteria in primary care to aid hospital referral. FLU-CATS has been adapted to gather data from patients with suspected COVID-19, including data from telephone consultations. The International Severe Acute Respiratory and emerging Infection Consortium (ISARIC) WHO Clinical Characterisation Protocol for emerging infections UK (CCP-UK; ISRCTN66726260) study facilitates the collection of standardised clinical data and samples on patients who have been admitted to hospital with suspected or confirmed COVID-19. Funded by the UK Medical Research Council (MRC) and NIHR, 30 885 patients have been recruited to CCP-UK (as of May 6, 2020) and samples are being distributed to academic collaborators, commercial entities, Public Heath England (PHE), and the National Institute for Biological Standards and Controls. Data from CCP-UK is supporting the Scientific Pandemic Influenza Modelling Committee (SPI-M) and the Scientific Advisory Group for Emergencies (SAGE). The PAndemic INfluenza Triage in the Emergency Department (PAINTED; ISRCTN56149622) study, which aimed to identify the most accurate triage method to predict severe illness among patients attending the emergency department with suspected pandemic influenza, has become the Pandemic Respiratory Infection Emergency System Triage (PRIEST; ISRCTN28342533) study, reflecting expansion to include all pandemic respiratory infections and the involvement of the ambulance service, alongside the emergency department, in deciding who needs admission to hospital. The UK Obstetric Surveillance System (UKOSS) pregnancy study, which aimed to collect existing data on pregnant and post-partum women admitted to hospital with influenza infection, has been activated, with no alterations to the study other than a change to collection of data on COVID-19. The dexamethasone arm of RECOVERY (ISRCTN50189673) is effectively an adaptation of the Multi-centre Adjuvant Steroids in Adults with Pandemic Influenza (ASAP; ISRCTN72331452) trial. The first patient was recruited to the RECOVERY trial within 2 weeks of WHO characterising the COVID-19 outbreak as a pandemic (on March 11, 2020). The Real-time Modelling of a Pandemic Influenza Outbreak (RTM) study was activated before the COVID-19 pandemic, creating real-time models to predict the impact of seasonal influenza. The model has been adapted to COVID-19 and has been assisting SAGE through SPI-M. In February 2020, decisions on the strategy for epidemic containment were guided by simulation of possible scenarios and the model is now being used to estimate the incidence of new COVID-19 cases and to predict the number of community deaths by age group and UK National Health Service NHS region. Outputs from the model inform PHE regional resource planning and, through SPI-M, support decisions on the relaxation of physical distancing measures. The population-level susceptibility, severity and spread of pandemic influenza study (PIPS; ISRCTN80214280) has not been activated because The Health Survey for England has temporarily paused field work due to physical distancing measures, which has made the timely collection of specimens for serology not possible at this time.Our national portfolio of hibernated pandemic studies is illustrating the value of the UK's clinical research system and the potential for rapid research, and the clinical and public health response to the COVID-19 pandemic. The fact that most studies have been activated, and are going well, shows that this model is an optimal way of using hibernating research studies to prepare and then rapidly respond to pandemic and emerging infections.
Authors: Colin R Simpson; Dan Beever; Kirsty Challen; Daniela De Angelis; Ellen Fragaszy; Steve Goodacre; Andrew Hayward; Wei Shen Lim; G James Rubin; Malcolm G Semple; Marian Knight Journal: Lancet Infect Dis Date: 2019-04-18 Impact factor: 25.071
Authors: Paul J Birrell; Xu-Sheng Zhang; Alice Corbella; Edwin van Leeuwen; Nikolaos Panagiotopoulos; Katja Hoschler; Alex J Elliot; Maryia McGee; Simon de Lusignan; Anne M Presanis; Marc Baguelin; Maria Zambon; André Charlett; Richard G Pebody; Daniela De Angelis Journal: BMC Public Health Date: 2020-04-15 Impact factor: 3.295
Authors: Steve Goodacre; Ben Thomas; Ellen Lee; Laura Sutton; Amanda Loban; Simon Waterhouse; Richard Simmonds; Katie Biggs; Carl Marincowitz; Jose Schutter; Sarah Connelly; Elena Sheldon; Jamie Hall; Emma Young; Andrew Bentley; Kirsty Challen; Chris Fitzsimmons; Tim Harris; Fiona Lecky; Andrew Lee; Ian Maconochie; Darren Walter Journal: PLoS One Date: 2020-11-25 Impact factor: 3.240
Authors: Paul Henery; Eleftheria Vasileiou; Kirsten J Hainey; Duncan Buchanan; Ewen Harrison; Alastair H Leyland; Thomas Alexis; Chris Robertson; Utkarsh Agrawal; Lewis Ritchie; Sarah Jane Stock; Colin McCowan; Annemarie Docherty; Steven Kerr; James Marple; Rachael Wood; Emily Moore; Colin R Simpson; Aziz Sheikh; Srinivasa Vittal Katikireddi Journal: BMJ Open Date: 2021-08-10 Impact factor: 2.692
Authors: Colin R Simpson; Steven Kerr; Srinivasa Vittal Katikireddi; Colin McCowan; Lewis D Ritchie; Jiafeng Pan; Sarah J Stock; Igor Rudan; Ruby S M Tsang; Simon de Lusignan; F D Richard Hobbs; Ashley Akbari; Ronan A Lyons; Chris Robertson; Aziz Sheikh Journal: Nat Commun Date: 2022-08-15 Impact factor: 17.694
Authors: Paul Birrell; Joshua Blake; Edwin van Leeuwen; Nick Gent; Daniela De Angelis Journal: Philos Trans R Soc Lond B Biol Sci Date: 2021-05-31 Impact factor: 6.237
Authors: Colin R Simpson; Chris Robertson; Eleftheria Vasileiou; Emily Moore; Colin McCowan; Utkarsh Agrawal; Helen R Stagg; Annemarie Docherty; Rachel Mulholland; Josephine L K Murray; Lewis D Ritchie; Jim McMenamin; Aziz Sheikh Journal: Lancet Digit Health Date: 2021-07-05
Authors: Sarah Jane Stock; David McAllister; Eleftheria Vasileiou; Colin R Simpson; Helen R Stagg; Utkarsh Agrawal; Colin McCowan; Leanne Hopkins; Jack Donaghy; Lewis Ritchie; Chris Robertson; Aziz Sheikh; Rachael Wood Journal: BMJ Open Date: 2020-11-26 Impact factor: 2.692
Authors: C R Simpson; T Shi; E Vasileiou; S V Katikireddi; S Kerr; E Moore; C McCowan; U Agrawal; S A Shah; L D Ritchie; J Murray; J Pan; D T Bradley; S J Stock; R Wood; A Chuter; J Beggs; H R Stagg; M Joy; R S M Tsang; S de Lusignan; R Hobbs; R A Lyons; F Torabi; S Bedston; M O'Leary; A Akbari; J McMenamin; C Robertson; A Sheikh Journal: Nat Med Date: 2021-06-09 Impact factor: 53.440