Literature DB >> 32422199

The UK hibernated pandemic influenza research portfolio: triggered for COVID-19.

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.   

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Year:  2020        PMID: 32422199      PMCID: PMC7228695          DOI: 10.1016/S1473-3099(20)30398-4

Source DB:  PubMed          Journal:  Lancet Infect Dis        ISSN: 1473-3099            Impact factor:   25.071


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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.
  2 in total

Review 1.  The UK's pandemic influenza research portfolio: a model for future research on 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

2.  Forecasting the 2017/2018 seasonal influenza epidemic in England using multiple dynamic transmission models: a case study.

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

  2 in total
  8 in total

1.  Coronavirus disease 2019 and pregnancy is déjà vu all over again.

Authors:  S A Rasmussen; D J Jamieson
Journal:  BJOG       Date:  2021-08-25       Impact factor: 7.331

2.  Characterisation of 22445 patients attending UK emergency departments with suspected COVID-19 infection: Observational cohort study.

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

3.  Ethnic and social inequalities in COVID-19 outcomes in Scotland: protocol for early pandemic evaluation and enhanced surveillance of COVID-19 (EAVE II).

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

4.  Second-dose ChAdOx1 and BNT162b2 COVID-19 vaccines and thrombocytopenic, thromboembolic and hemorrhagic events in Scotland.

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

5.  Real-time nowcasting and forecasting of COVID-19 dynamics in England: the first wave.

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

6.  Temporal trends and forecasting of COVID-19 hospitalisations and deaths in Scotland using a national real-time patient-level data platform: a statistical modelling study.

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

7.  COVID-19 in Pregnancy in Scotland (COPS): protocol for an observational study using linked Scottish national data.

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

8.  First-dose ChAdOx1 and BNT162b2 COVID-19 vaccines and thrombocytopenic, thromboembolic and hemorrhagic events in Scotland.

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

  8 in total

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