Flu watch:Community study of behavioral & biological determinants of transmission to inform seasonal & pandemic planning
Lead Research Organisation:
University College London
Department Name: Unlisted
Abstract
The current concern about bird flu is because very occasionally new strains of influenza can emerge from animals and adapt to spread rapidly from person to person. In the past this has led to worldwide epidemics (pandemics) of severe influenza. The most dramatic event was in 1917/1918 when an influenza pandemic killed more people than the second world war. A strain of influenza which can spread from birds to humans and which leads to very severe illness has emerged and is beginning to spread globally. Fortunately it does not spread easily from person to person so the number of cases are small. If the virus mutates to spread easily amongst humans then there could be another pandemic. Every year strains of influenza that can spread very easily between humans (seasonal influenza) cause many people to become unwell and lead to many extra hospitalisations and deaths particularly in elderly people and those with chronic illnesses. We need to understand how flu spreads through society and how our immune system fights the infection. This large community-based study of influenza in households will increase our understanding of seasonal influenza. A better understanding of how seasonal influenza spreads and how our immune system responds will also help us understand how pandemic influenza might spread and may help us develop strategies to reduce the impact of a pandemic. If a pandemic does happen we will need to respond quickly with studies that will help us to understand how the virus is affecting humans and what treatments are most effective. This proposal will increase our understanding of seasonal influenza, help us prepare for a pandemic and ensure that we are ready to study a pandemic if it does occur.
Technical Summary
During an influenza pandemic studies of antiviral effectiveness, transmission dynamics, immunological and clinical response will need immediate implementation. It will be impossible to set up such studies without having a pre-enrolled cohort and established data collection methodologies.
Current empirical understanding of influenza transmission dynamics primarily rests on studies from the 1950s-1970s and limited data from previous pandemics. These studies were undertaken without the benefits of modern molecular technology at a time when social structures and mobility patterns were very different from today. Many of our mathematical models which inform planning are based on these historical data.
Studies of immunological correlates of protection have focused on neutralizing antibodies but there are no data on T-cell mediated protection in humans in natural respiratory infection. T-cells responses exhibit cross-reactivity between different virus subtypes so if pandemic influenza was imminent, it would be possible to enhance this type of immunity by vaccination.
In a collaboration between the UCL Centre for Infectious Disease Epidemiology, the MRC Human Immunology Unit, the MRC General Practice Research Framework (GPRF) and the Health Protection Agency we propose to establish a preparedness cohort of 2000 enrolled participants enabling timely study of a pandemic and to use this cohort in the pre-pandemic period to conduct a series of behavioral, virological, immunological and clinical studies of seasonal influenza. Through the GPRF we will recruit 1000 individuals in 2006/7 and a further 1000 in 2007/8 in households throughout the UK. We will follow each cohort through the following influenza season. In the event of a pandemic the entire cohort will be re-instated. Cases of influenza infection will be defined through pre-and post season serology and divided into symptomatic and asymptomatic cases based on symptom diaries. Viral shedding will be identified through self-submitted nasal swabs for RT-PCR identification of influenza. Information on patient contact patterns will be collected providing empirical data to inform models of pandemic and seasonal influenza transmission. In nested case control studies pre and post season blood samples from patients with confirmed influenza and controls will be used to assess the T cell response to influenza using a validated interferon-gamma elispot assay. We hypothesize that pre-existing T cell immunity will be greater in those with symptomatic influenza infection and in confirmed viral shedders than in those with asymptomatic infection.
We will use methodology and data from the study to enable the development of empirical trials of antiviral and behavioural interventions.
Current empirical understanding of influenza transmission dynamics primarily rests on studies from the 1950s-1970s and limited data from previous pandemics. These studies were undertaken without the benefits of modern molecular technology at a time when social structures and mobility patterns were very different from today. Many of our mathematical models which inform planning are based on these historical data.
Studies of immunological correlates of protection have focused on neutralizing antibodies but there are no data on T-cell mediated protection in humans in natural respiratory infection. T-cells responses exhibit cross-reactivity between different virus subtypes so if pandemic influenza was imminent, it would be possible to enhance this type of immunity by vaccination.
In a collaboration between the UCL Centre for Infectious Disease Epidemiology, the MRC Human Immunology Unit, the MRC General Practice Research Framework (GPRF) and the Health Protection Agency we propose to establish a preparedness cohort of 2000 enrolled participants enabling timely study of a pandemic and to use this cohort in the pre-pandemic period to conduct a series of behavioral, virological, immunological and clinical studies of seasonal influenza. Through the GPRF we will recruit 1000 individuals in 2006/7 and a further 1000 in 2007/8 in households throughout the UK. We will follow each cohort through the following influenza season. In the event of a pandemic the entire cohort will be re-instated. Cases of influenza infection will be defined through pre-and post season serology and divided into symptomatic and asymptomatic cases based on symptom diaries. Viral shedding will be identified through self-submitted nasal swabs for RT-PCR identification of influenza. Information on patient contact patterns will be collected providing empirical data to inform models of pandemic and seasonal influenza transmission. In nested case control studies pre and post season blood samples from patients with confirmed influenza and controls will be used to assess the T cell response to influenza using a validated interferon-gamma elispot assay. We hypothesize that pre-existing T cell immunity will be greater in those with symptomatic influenza infection and in confirmed viral shedders than in those with asymptomatic infection.
We will use methodology and data from the study to enable the development of empirical trials of antiviral and behavioural interventions.
Organisations
- University College London, United Kingdom (Collaboration, Lead Research Organisation)
- University of Oxford, United Kingdom (Collaboration)
- University of Hong Kong, Hong Kong (Collaboration)
- Department of Health (DH) (Collaboration)
- Public Health England, United Kingdom (Collaboration)
- Nottingham University Hospital NHS Trust, Nottingham (Collaboration)
- Imperial College London, United Kingdom (Collaboration)
- Veterinary Laboratories Agency (Collaboration)
- The Wellcome Trust Sanger Institute (Collaboration)
- London Sch of Hygiene and Trop Medicine, United Kingdom (Collaboration)
- University of Cambridge, United Kingdom (Collaboration)
- Medical Research Council (Collaboration)
- Imperial College Healthcare NHS Trust (Collaboration)
- University College London Hospital (UCLH) NHS Foundation Trust (Collaboration)
- Royal College of General Practioners (RCGP) (Collaboration)
- National Centre for Social Research, United Kingdom (Collaboration)
- Microsoft Research, United States (Collaboration)
- Google (Collaboration)
- University of Nottingham (Collaboration)
Publications

Hayward AC
(2015)
Natural T Cell-mediated Protection against Seasonal and Pandemic Influenza. Results of the Flu Watch Cohort Study.
in American journal of respiratory and critical care medicine

Story A
(2014)
Influenza vaccination, inverse care and homelessness: cross-sectional survey of eligibility and uptake during the 2011/12 season in London.
in BMC public health

Jordan R
(2009)
Should healthcare workers have the swine flu vaccine?
in BMJ (Clinical research ed.)


Head MG
(2014)
Investments in respiratory infectious disease research 1997-2010: a systematic analysis of UK funding.
in BMJ open

Hayward A
(2010)
Does treatment with oseltamivir prevent transmission of influenza to household contacts?
in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America

Warren-Gash C
(2010)
Influenza and myocardial infarction.
in Expert review of cardiovascular therapy

Warren-Gash C
(2013)
Hand hygiene to reduce community transmission of influenza and acute respiratory tract infection: a systematic review.
in Influenza and other respiratory viruses

Hodgson D
(2020)
Estimates for quality of life loss due to Respiratory Syncytial Virus.
in Influenza and other respiratory viruses

Fragaszy EB
(2018)
Effects of seasonal and pandemic influenza on health-related quality of life, work and school absence in England: Results from the Flu Watch cohort study.
in Influenza and other respiratory viruses
Description | Development of HPA Community influenza surveillance |
Geographic Reach | National |
Policy Influence Type | Participation in advisory committee |
Description | HPA estimates of burden of pandemic influenza |
Geographic Reach | National |
Policy Influence Type | Citation in other policy documents |
Impact | The Flu Watch work fed into the HPA modelling group that estimated the number of cases of pandemic influenza. This informed policy decisions on the response to the pandemic. |
Description | Invited to be member of Joint Committee on Vaccination and Immunisation Influenza Subcommittee |
Geographic Reach | National |
Policy Influence Type | Participation in advisory committee |
Impact | Evidence on incidence of influenza has been important in continuing considerations about whether to immunise children against influenza |
Description | JCVI decision to recommend routine influenza immunisation of children |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Citation in other policy documents |
Description | JCVI influenza vaccination committee |
Geographic Reach | National |
Policy Influence Type | Membership of a guidance committee |
Impact | Results of Flu Watch Data influenced decisions on national panjdemic vaccination strategy by demonstrating low level of severity of pandemic strain. |
Description | JCVI review of effectiveness and cost effectiveness of the national influenza vaccination programme |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Gave evidence to a government review |
Description | JCVI review of whether to introduce routine childhood vaccination for influenza |
Geographic Reach | Multiple continents/international |
Policy Influence Type | Gave evidence to a government review |
Description | NERV-TAG |
Geographic Reach | National |
Policy Influence Type | Participation in advisory committee |
Description | NERVTAG advice on COVID 19 control |
Geographic Reach | National |
Policy Influence Type | Membership of a guideline committee |
Impact | Advice on hand wsahing respiratory hygiene and social distancing influencing national response |
Description | SPI-M |
Geographic Reach | National |
Policy Influence Type | Participation in advisory committee |
Description | Clinical Research and Development Committee Research Funding from the BRC/UCLH Charities - Fast Track Grant - Charlotte Warren-Gash |
Amount | £37,890 (GBP) |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start | 12/2014 |
End | 03/2016 |
Description | EPSRC IRC in Early-Warning Sensing Systems for Infectious Diseases |
Amount | £20,285 (GBP) |
Funding ID | EP/K031953/1 |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Sector | Public |
Country | United Kingdom |
Start | 02/2016 |
End | 01/2017 |
Description | Exploratory Project Funding call 'Early Warning Sensing Systems for Influenza' |
Amount | £113,040 (GBP) |
Organisation | Engineering and Physical Sciences Research Council (EPSRC) |
Department | Flusurvey |
Sector | Public |
Country | United Kingdom |
Start | 08/2014 |
End | 07/2015 |
Description | NIH/CDC call for funding on influenza transmission |
Amount | £6,900,000 (GBP) |
Organisation | National Institutes of Health (NIH) |
Sector | Public |
Country | United States |
Start |
Description | NIHR 2011 call for Pandemic Research |
Amount | £431,356 (GBP) |
Funding ID | 11/46/09 |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start | 09/2013 |
End | 08/2016 |
Description | NIHR methods fellowship |
Amount | £150,000 (GBP) |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start | 03/2014 |
End | 03/2016 |
Description | NIHR research training fellowship - Dr Logan Manikam |
Amount | £180,000 (GBP) |
Organisation | National Institute for Health Research |
Sector | Public |
Country | United Kingdom |
Start |
Description | UCLH CBRC Clinical Research and Development Committee |
Amount | £30,000 (GBP) |
Organisation | National Institute for Health Research |
Department | UCLH/UCL Biomedical Research Centre |
Sector | Academic/University |
Country | United Kingdom |
Start |
Description | Wellcome Doctoral Training Award - Nischay Mehtha - variations in adult tonsillectomy rates |
Amount | £180,000 (GBP) |
Organisation | University of Oxford |
Department | Wellcome Trust Doctoral Training Fellowship |
Sector | Academic/University |
Country | United Kingdom |
Start |
Description | Wellcome Mosaic extension |
Amount | £19,052 (GBP) |
Organisation | Wellcome Trust |
Sector | Charity/Non Profit |
Country | United Kingdom |
Start |
Title | HPA serosurveillance |
Description | Contributing to plans for ongoing HPA serosurveillance of influenza |
Type Of Material | Database/Collection of Data/Biological Samples |
Year Produced | 2011 |
Provided To Others? | Yes |
Impact | Informing design of future national surveillance |
Title | Use of Health Survey for England as a tool for monitoring population infection |
Description | HSE is a national rolling household study including taking of blood. We have added influenza serology to this and can compare results to Flu Watch. THe HSE provides a way forward for obtaining some of the key parameters measured in Flu Watch more efficiently |
Type Of Material | Improvements to research infrastructure |
Provided To Others? | No |
Impact | NIHR funded grant exploring use of HSE as a tool for pandemic preparedness |
Title | Weekly automated telephone calls for collection of data on illnesses in households |
Description | We have developed (via subcontractors) tools for the automated monitoring of illnesses in household on a weekly basis using automated telphone calls |
Type Of Material | Improvements to research infrastructure |
Year Produced | 2009 |
Provided To Others? | Yes |
Impact | We have provided ths to the Swine Flu Initiative BBSRC grant to monitor rates of illness in Pig Workers |
Title | weekly automated online surveys for collection of household level data |
Description | We developed the use of weekly online surveys for monitoring the incidence of illness in households |
Type Of Material | Improvements to research infrastructure |
Provided To Others? | No |
Impact | Enabled subsequent development of similar methodologies for monitoring pandemnic influenza We propose to use this methodology in a Phase IIb Trial testing the efficacy of an improved influenza vaccine in older adults. We have submitted an itial funding application for this through the MRC's EME programme. |
Description | COSI |
Organisation | University of Cambridge |
Department | Department of Veterinary Medicine |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Collection of serological samples from pig workers - provision of non pig worker controls from Flu Watch |
Collaborator Contribution | Investigation of exposure to pigs as a risk factor for infection with influenza |
Impact | Immune responses in pigs vaccinated with adjuvanted and non-adjuvanted A(H1N1)pdm/09 influenza vaccines used in human immunization programmes. Lefevre EA, Carr BV, Inman CF, Prentice H, Brown IH, Brookes SM, Garcon F, Hill ML, Iqbal M, Elderfield RA, Barclay WS, Gubbins S, Bailey M, Charleston B; COSI. PLoS One. 2012;7(3):e32400. Epub 2012 Mar 9. |
Start Year | 2009 |
Description | COSI |
Organisation | University of Cambridge |
Department | Department of Veterinary Medicine |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Organsation of collection of sera from Pig Farmers and Pig Workers |
Collaborator Contribution | Understanding of burden of influenza in populations working with pigs.Testing of human sera for evidence of range of swine flu viruses. |
Impact | Level of serologically confirmed influenza in pig workers. Paper in preparation outlining increased risk of influenza in pig workers compared to community controls |
Start Year | 2009 |
Description | COSI |
Organisation | Veterinary Laboratories Agency |
Country | United Kingdom |
Sector | Public |
PI Contribution | Organsation of collection of sera from Pig Farmers and Pig Workers |
Collaborator Contribution | Understanding of burden of influenza in populations working with pigs.Testing of human sera for evidence of range of swine flu viruses. |
Impact | Level of serologically confirmed influenza in pig workers. Paper in preparation outlining increased risk of influenza in pig workers compared to community controls |
Start Year | 2009 |
Description | EMIT |
Organisation | Nottingham University Hospitals NHS Trust |
Department | Division of Epidemiology and Public Health |
Country | United Kingdom |
Sector | Public |
PI Contribution | EMIT: Evaluating Modes of Influenza Transmission using a Human Challenge $10,849,395 Model. Data annd expertisre from Flu Watch has been used to inform the design of this human challenge study to understand the role of earosols in transmission. |
Collaborator Contribution | Use of Human Challenge studies to study influenza transmission and immunity is complementary approach to observational studies of Influenza |
Impact | Multidisciplinary research project involving epidemiologisy, public health, aerobiology, virology, modelling. |
Start Year | 2011 |
Description | EVIDENT |
Organisation | University College London |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | 1) co-supervision of a Wellcome Doctoral Training award student (Nishay Mehtha) - Variations in adult tonsillectomy rates. 2) co-supervision of an NIHR research training fellow (Dr Logan Manikam) - respiratory infections in children with Down's syndrome. |
Collaborator Contribution | 1) co-supervision of a Wellcome Doctoral Training award student (Nishay Mehtha) - Variations in adult tonsillectomy rates. 2) co-supervision of an NIHR research training fellow (Dr Logan Manikam) - respiratory infections in children with Down's syndrome. |
Impact | none yet |
Start Year | 2013 |
Description | Health Survey for England |
Organisation | Department of Health (DH) |
Country | United Kingdom |
Sector | Public |
PI Contribution | Design of Influenza questions to include in the Health Survey for England in the pandemic year |
Collaborator Contribution | Use of HSE as a tool to monitor population infection rates in vaccinated and unvaccinated |
Impact | Recently awarded NIHR grant to explore use of Health Survey for England as a tool to monitor population levels of infection during a pandemic. |
Start Year | 2009 |
Description | Health Survey for England |
Organisation | National Centre for Social Research |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | Design of Influenza questions to include in the Health Survey for England in the pandemic year |
Collaborator Contribution | Use of HSE as a tool to monitor population infection rates in vaccinated and unvaccinated |
Impact | Recently awarded NIHR grant to explore use of Health Survey for England as a tool to monitor population levels of infection during a pandemic. |
Start Year | 2009 |
Description | ICONIC |
Organisation | Public Health England |
Country | United Kingdom |
Sector | Public |
PI Contribution | Andrew Hayward is leading the epidemiological aspects of the grant which focuses on sequencing of all influenza isolates across 4 london trust as well as selected PHE samples. |
Collaborator Contribution | working with Wellcome Sanger Institute (sequencing side) and PHE (specimens and data) |
Impact | grant started autumn 2013 |
Start Year | 2013 |
Description | ICONIC |
Organisation | The Wellcome Trust Sanger Institute |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | Andrew Hayward is leading the epidemiological aspects of the grant which focuses on sequencing of all influenza isolates across 4 london trust as well as selected PHE samples. |
Collaborator Contribution | working with Wellcome Sanger Institute (sequencing side) and PHE (specimens and data) |
Impact | grant started autumn 2013 |
Start Year | 2013 |
Description | Influenza Mortality |
Organisation | Public Health England |
Country | United Kingdom |
Sector | Public |
PI Contribution | Flu Watch data on influenza occurrence provided to contribute to modelling of seasonal and pandemic case fatality rates. |
Collaborator Contribution | Bayesian approach to modelling of mortality |
Impact | Analysis ongoing |
Start Year | 2012 |
Description | Influenza Mortality |
Organisation | University of Cambridge |
Department | MRC Biostatistics Unit |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Flu Watch data on influenza occurrence provided to contribute to modelling of seasonal and pandemic case fatality rates. |
Collaborator Contribution | Bayesian approach to modelling of mortality |
Impact | Analysis ongoing |
Start Year | 2012 |
Description | Influenza and Myocardial Infarction |
Organisation | London School of Hygiene and Tropical Medicine (LSHTM) |
Department | Primary Care PHC |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Research into the triggering effect of influenza on MI using surveillance trends and contextualised using Flu Watch Data. |
Collaborator Contribution | Supervision of MRC Clinical Research Fellow Charlotte Warren Gash |
Impact | Influenza infection and acute myocardial infarction risk. C. Warren-Gash, A.Hayward, S.Thomas, H.Whitaker, L.Smeeth. Journal of Infectious Diseases. Warren-Gash C, Smeeth L, Hayward A. Influenza and myocardial infarction. Expert Rev Cardiovasc Ther. 2010 Feb;8(2):143-6. Warren-Gash C, Smeeth L, Hayward AC. Influenza as a trigger for acute myocardial infarction or death from cardiovascular disease: a systematic review. Lancet Infect Dis. 2009 Oct;9(10):601-10. |
Start Year | 2007 |
Description | Influenza and Myocardial Infarction |
Organisation | University of Hong Kong |
Department | School of Public Health and Department of Community Medicine |
Country | Hong Kong |
Sector | Academic/University |
PI Contribution | Research into the triggering effect of influenza on MI using surveillance trends and contextualised using Flu Watch Data. |
Collaborator Contribution | Supervision of MRC Clinical Research Fellow Charlotte Warren Gash |
Impact | Influenza infection and acute myocardial infarction risk. C. Warren-Gash, A.Hayward, S.Thomas, H.Whitaker, L.Smeeth. Journal of Infectious Diseases. Warren-Gash C, Smeeth L, Hayward A. Influenza and myocardial infarction. Expert Rev Cardiovasc Ther. 2010 Feb;8(2):143-6. Warren-Gash C, Smeeth L, Hayward AC. Influenza as a trigger for acute myocardial infarction or death from cardiovascular disease: a systematic review. Lancet Infect Dis. 2009 Oct;9(10):601-10. |
Start Year | 2007 |
Description | Influenza in Homeless |
Organisation | University College London Hospitals NHS Foundation Trust |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Provision of Flu Watch data on general population eligibility and uptake to influenza vaccine to compare with equivalent data in homeless people |
Collaborator Contribution | Collection of data on influenza vaccine eligibility and uptake in homeless people |
Impact | Paper submitted to BMJ |
Start Year | 2012 |
Description | MOSAIC |
Organisation | Imperial College Healthcare NHS Trust |
Department | Respiratory Medicine |
Country | United Kingdom |
Sector | Hospitals |
PI Contribution | Collection of genetic samples from community controls to compare to severe cases of influenza |
Collaborator Contribution | Genetic analyses of determinants of severe influenza |
Impact | IFITM3 restricts the morbidity and mortality associated with influenza. Everitt AR, Clare S, Pertel T, John SP, Wash RS, Smith SE, Chin CR, Feeley EM, Sims JS, Adams DJ, Wise HM, Kane L, Goulding D, Digard P, Anttila V, Baillie JK, Walsh TS, Hume DA, Palotie A, Xue Y, Colonna V, Tyler-Smith C, Dunning J, Gordon SB; GenISIS Investigators; MOSAIC Investigators, Smyth RL, Openshaw PJ, Dougan G, Brass AL, Kellam P. Nature. 2012 Mar 25;484(7395):519-23. doi: 10.1038/nature10921. Multidisciplinary collaboration. Geneticists, clinicians, epidemiologists |
Start Year | 2010 |
Description | MOSAIC |
Organisation | Medical Research Council (MRC) |
Country | United Kingdom |
Sector | Public |
PI Contribution | Collection of genetic samples from community controls to compare to severe cases of influenza |
Collaborator Contribution | Genetic analyses of determinants of severe influenza |
Impact | IFITM3 restricts the morbidity and mortality associated with influenza. Everitt AR, Clare S, Pertel T, John SP, Wash RS, Smith SE, Chin CR, Feeley EM, Sims JS, Adams DJ, Wise HM, Kane L, Goulding D, Digard P, Anttila V, Baillie JK, Walsh TS, Hume DA, Palotie A, Xue Y, Colonna V, Tyler-Smith C, Dunning J, Gordon SB; GenISIS Investigators; MOSAIC Investigators, Smyth RL, Openshaw PJ, Dougan G, Brass AL, Kellam P. Nature. 2012 Mar 25;484(7395):519-23. doi: 10.1038/nature10921. Multidisciplinary collaboration. Geneticists, clinicians, epidemiologists |
Start Year | 2010 |
Description | NIHR Health Protection Research Unit in Respiratory Infection |
Organisation | Public Health England |
Country | United Kingdom |
Sector | Public |
PI Contribution | Andrew Hayward is the proposed director of this unit and led the bid. Bid focuses on public health research on influenza and TB and builds extensively on the Flu Watch methodology. |
Collaborator Contribution | UoN and RCGP are contributing primarily to the emergency response theme which focuses on pandemic response. |
Impact | short-listed and interviewed. awaiting result. |
Start Year | 2013 |
Description | NIHR Health Protection Research Unit in Respiratory Infection |
Organisation | Royal College of General Practitioners |
Department | RCGP Research and Surveillance Centre |
Country | United Kingdom |
Sector | Charity/Non Profit |
PI Contribution | Andrew Hayward is the proposed director of this unit and led the bid. Bid focuses on public health research on influenza and TB and builds extensively on the Flu Watch methodology. |
Collaborator Contribution | UoN and RCGP are contributing primarily to the emergency response theme which focuses on pandemic response. |
Impact | short-listed and interviewed. awaiting result. |
Start Year | 2013 |
Description | NIHR Health Protection Research Unit in Respiratory Infection |
Organisation | University of Nottingham |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Andrew Hayward is the proposed director of this unit and led the bid. Bid focuses on public health research on influenza and TB and builds extensively on the Flu Watch methodology. |
Collaborator Contribution | UoN and RCGP are contributing primarily to the emergency response theme which focuses on pandemic response. |
Impact | short-listed and interviewed. awaiting result. |
Start Year | 2013 |
Description | Tcell Vaccine Trial full grant application to MRC-EME scheme |
Organisation | University of Oxford |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Contributed to trial design, particularly in the area of measuring outcomes and sample size. |
Collaborator Contribution | Led the application |
Impact | Awaiting to hear funding decision |
Start Year | 2013 |
Description | Tcell Vaccine Trial outline grant application to MRC-EME |
Organisation | University of Oxford |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Flu Watch data used to develop power calculations for the trail. Flu Watch methodology will be used to collect outcome data being led by UCL. |
Collaborator Contribution | Oxford University has developed the Tcell vaccine and will lead the trial if funded. |
Impact | Tcell Vaccine Trial outline grant application submitted to MRC-EME |
Start Year | 2013 |
Description | Trial of a T-cell vaccine |
Organisation | University of Oxford |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | We are presently arranging a collaboration with the University of Oxford regarding a trial of a T-cell Vaccine. |
Collaborator Contribution | The contributions we will make are still be arranged |
Impact | . |
Start Year | 2016 |
Description | UKCRC Translational Infection Research Initiative Strategy Development Grant - Influenza Transmission Strategy Development Group November 2007-November 2008 £80,000 |
Organisation | Imperial College London |
Department | Department of Epidemiology and Biostatistics |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Working group to identify means of studying influenza transmission. Our data on household transmission rates were used to help design further work on human experimental models of influenza transmission. |
Impact | DH funded grant to assess the feasability of using human volunteers in studies of influenza transmission. The final report has been made to DH and this demonstrates that human volunteer studies have potential to be used for transmission studies. Further frunding for such studies is being sought. |
Start Year | 2008 |
Description | UKCRC Translational Infection Research Initiative Strategy Development Grant - Influenza Transmission Strategy Development Group November 2007-November 2008 £80,000 |
Organisation | University of Nottingham |
Department | School of Community Health Sciences Nottingham |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Working group to identify means of studying influenza transmission. Our data on household transmission rates were used to help design further work on human experimental models of influenza transmission. |
Impact | DH funded grant to assess the feasability of using human volunteers in studies of influenza transmission. The final report has been made to DH and this demonstrates that human volunteer studies have potential to be used for transmission studies. Further frunding for such studies is being sought. |
Start Year | 2008 |
Description | i-sense exploratory grant |
Organisation | |
Country | United States |
Sector | Private |
PI Contribution | Designing and running the patient and public engagement part of the project. Providing Flu Watch data for calibration and validation of novel surveillance systems using twitter and internet search data (microsoft). |
Collaborator Contribution | LSHTM is running flusurvey surveillance project and piloting the diagnostic testing component. Public Health England is conducting PCR analysis of samples. Exploring with google possible collaboration on surveillance recruitment methods. Calibration and validation of novel surveillance systems using twitter and internet search data (microsoft). |
Impact | 1) currently developing a smartphone app for participatory surveillance of influenza-like-illness 2) currently running flusurvey study for another year |
Start Year | 2014 |
Description | i-sense exploratory grant |
Organisation | London School of Hygiene and Tropical Medicine (LSHTM) |
Country | United Kingdom |
Sector | Academic/University |
PI Contribution | Designing and running the patient and public engagement part of the project. Providing Flu Watch data for calibration and validation of novel surveillance systems using twitter and internet search data (microsoft). |
Collaborator Contribution | LSHTM is running flusurvey surveillance project and piloting the diagnostic testing component. Public Health England is conducting PCR analysis of samples. Exploring with google possible collaboration on surveillance recruitment methods. Calibration and validation of novel surveillance systems using twitter and internet search data (microsoft). |
Impact | 1) currently developing a smartphone app for participatory surveillance of influenza-like-illness 2) currently running flusurvey study for another year |
Start Year | 2014 |
Description | i-sense exploratory grant |
Organisation | Microsoft Research |
Country | Global |
Sector | Private |
PI Contribution | Designing and running the patient and public engagement part of the project. Providing Flu Watch data for calibration and validation of novel surveillance systems using twitter and internet search data (microsoft). |
Collaborator Contribution | LSHTM is running flusurvey surveillance project and piloting the diagnostic testing component. Public Health England is conducting PCR analysis of samples. Exploring with google possible collaboration on surveillance recruitment methods. Calibration and validation of novel surveillance systems using twitter and internet search data (microsoft). |
Impact | 1) currently developing a smartphone app for participatory surveillance of influenza-like-illness 2) currently running flusurvey study for another year |
Start Year | 2014 |
Description | i-sense exploratory grant |
Organisation | Public Health England |
Country | United Kingdom |
Sector | Public |
PI Contribution | Designing and running the patient and public engagement part of the project. Providing Flu Watch data for calibration and validation of novel surveillance systems using twitter and internet search data (microsoft). |
Collaborator Contribution | LSHTM is running flusurvey surveillance project and piloting the diagnostic testing component. Public Health England is conducting PCR analysis of samples. Exploring with google possible collaboration on surveillance recruitment methods. Calibration and validation of novel surveillance systems using twitter and internet search data (microsoft). |
Impact | 1) currently developing a smartphone app for participatory surveillance of influenza-like-illness 2) currently running flusurvey study for another year |
Start Year | 2014 |
Description | Decipher My Data |
Form Of Engagement Activity | A formal working group, expert panel or dialogue |
Part Of Official Scheme? | No |
Geographic Reach | Regional |
Primary Audience | Schools |
Results and Impact | DECIPHER MY DATA! A research project conducted by Farr London through scientific engagement with schools, promoting the idea that students benefit from performing real science using real data in the classroom. Findings from Decipher my data! Flu! based on data from 27 schools show that school sickness absence data are correlated with influenza surveillance data and may provide a good warning system for spotting flu outbreaks . |
Year(s) Of Engagement Activity | 2015 |
Description | I'm a scientist Decipher my Data |
Form Of Engagement Activity | Participation in an activity, workshop or similar |
Part Of Official Scheme? | No |
Geographic Reach | National |
Primary Audience | Schools |
Results and Impact | As part of a Wellcome trust funded public Engagement award we helped to design data collection from schools on school sickness absence. This was used to compare with trends in influenza surveillance with data provided in real time to schools. Flu Watch info included in educational materials, http://flu.deciphermydata.org.uk/ 40 schools partcipated in 2011/12 60 have expressed interest in participating for 2012/13 |
Year(s) Of Engagement Activity | 2010,2011,2012 |
URL | http://flu.deciphermydata.org.uk/ |
Description | Pulse Magazine |
Form Of Engagement Activity | A magazine, newsletter or online publication |
Part Of Official Scheme? | No |
Primary Audience | Health professionals |
Results and Impact | Article in Pulse Magazine on levels of Flu inthe Community - target audience General Practice Better awareness of how common influenza is and that most patients do not consult their GP when ill |
Year(s) Of Engagement Activity | 2007 |