2.Ghebrehewet, S, MacPherson, P and Ho, A (2016) Influenza. British Medical Journal 355, i6258.
3.World Health Organisation (2012) Vaccines against influenza WHO position paper-November 2012. Weekly Epidemiological Record 87, 461–476.
4.Cromer, D et al. (2014) The burden of influenza in England by age and clinical risk group: a statistical analysis to inform vaccine policy. Journal of Infection 68, 363–371.
5.Fleming, DM et al. (2005) Respiratory illness associated with influenza and respiratory syncytial virus infection. Archives of Disease in Childhood 90, 741–746.
7.Taylor, S et al. (2016) Modelling estimates of the burden of respiratory syncytial virus infection in children in the UK. British Medical Journal Open 6, e009337.
8.Hardelid, P, Pebody, R and Andrews, N (2013) Mortality caused by influenza and respiratory syncytial virus by age group in England and Wales 1999–2010. Influenza and Other Respiratory Viruses 7, 35–45.
9.Fleming, DM and Cross, KW (1993) Respiratory syncytial virus or influenza? Lancet 342, 1507–1510.
10.Morbey, RA et al. (2018) Estimating the burden on general practitioner services in England from increases in respiratory disease associated with seasonal respiratory pathogen activity. Epidemiology and Infection 146, 1389–1396.
11.Morbey, RA et al. (2017) The burden of seasonal respiratory infections on a national telehealth service in England. Epidemiology and Infection 145, 1922–1932.
13.Cooper, DL et al. (2009) Can syndromic thresholds provide early warning of national influenza outbreaks? Journal of Public Health 31, 17–25.
14.Cowling, BJ et al. (2006) Methods for monitoring influenza surveillance data. International Journal of Epidemiology 35, 1314–1321.
15.Goddard, NL, Kyncl, J and Watson, JM (2003) Appropriateness of thresholds currently used to describe influenza activity in England. Communicable Disease and Public Health 6, 238–245.
16.Watts, CG et al. (2003) Establishing thresholds for influenza surveillance in Victoria. Australian and New Zealand Journal of Public Health 27, 409–412.
17.Vega, T et al. (2013) Influenza surveillance in Europe: establishing epidemic thresholds by the moving epidemic method. Influenza and Other Respiratory Viruses 7, 546–558.
18.Farrington, CP et al. (1996) A statistical algorithm for the early detection of outbreaks of infectious disease. Journal of the Royal Statistical Society Series A (Statistics in Society) 159, 547–563.
19.Green, HK et al. (2014) Harmonizing influenza primary-care surveillance in the United Kingdom: piloting two methods to assess the timing and intensity of the seasonal epidemic across several general practice-based surveillance schemes. Epidemiology and Infection 143, 1–12.
20.Triple S Project (2011) Assessment of syndromic surveillance in Europe. Lancet 378, 1833–1834.
22.Harcourt, SE et al. (2012) Developing a new syndromic surveillance system for the London 2012 Olympic and Paralympic Games. Epidemiology and Infection 140, 2152–2156.
23.Harcourt, SE et al. (2016) Developing and validating a new national remote health advice syndromic surveillance system in England. Journal of Public Health 39, 184–192.
24.Vega, T et al. (2015) Influenza surveillance in Europe: comparing intensity levels calculated using the moving epidemic method. Influenza and Other Respiratory Viruses 9, 234–246.
26.R Core Team. R: A language and environment for statistical computing. Available at https://www.R-project.org/ (Accessed 07 September 2018).
27.de Lusignan, S et al. (2017) RCGP research and surveillance centre: 50 years’ surveillance of influenza, infections, and respiratory conditions. British Journal of General Practice 67, 440–441.
29.Zhao, H et al. (2014) A new laboratory-based surveillance system (Respiratory DataMart System) for influenza and other respiratory viruses in England: results and experience from 2009 to 2012. Eurosurveillance 19, 20680.
32.Murray, JLK et al. (2018) Moving epidemic method (MEM) applied to virology data as a novel real time tool to predict peak in seasonal influenza healthcare utilisation. The Scottish experience of the 2017/18 season to date. Eurosurveillance 23, 18–00079.
33.Biggerstaff, M et al. (2018) Systematic assessment of multiple routine and near real-time indicators to classify the severity of influenza seasons and pandemics in the United States, 2003–2004 through 2015–2016. American Journal of Epidemiology 187, 1040–1050.
34.Drumright, LN et al. (2015) Assessing the use of hospital staff influenza-like absence (ILA) for enhancing hospital preparedness and national surveillance. BMC Infectious Diseases 15, 110.
35.Goddard, NL et al. (2007) Timing of monoclonal antibody for seasonal RSV prophylaxis in the United Kingdom. Epidemiology and Infection 135, 159–162.
36.Giersing, BK, et al. (2017) Meeting report: WHO consultation on respiratory syncytial virus (RSV) vaccine development, Geneva, 25–26 April 2016. Vaccine. doi: org/10.1016/j.vaccine.2017.02.068.
37.Joyce, C, et al. (2018) Orally administered adenoviral-based vaccine induces respiratory mucosal memory and protection against RSV infection in cotton rats. Vaccine 36, 4265–4277.
38.Unkel, S et al. (2012) Statistical methods for the prospective detection of infectious disease outbreaks: a review. Journal of the Royal Statistical Society Series A (Statistics in Society) 175, 49–82.
39.Andersson, T et al. (2014) Syndromic surveillance for local outbreak detection and awareness: evaluating outbreak signals of acute gastroenteritis in telephone triage, web-based queries and over-the-counter pharmacy sales. Epidemiology and Infection 142, 303–313.
40.Meyer, N et al. (2008) A multi-data source surveillance system to detect a bioterrorism attack during the G8 Summit in Scotland. Epidemiology and Infection 136, 876–885.
41.Rolland, E et al. (2006) Using Ontario's ‘Telehealth’ health telephone helpline as an early-warning system: a study protocol. BMC Health Services Research 6, 10.
42.Bollaerts, K et al. (2013) Contribution of respiratory pathogens to influenza-like illness consultations. Epidemiology and Infection 141, 2196–2204.
43.Fleming, DM et al. (2015) Influenza-attributable burden in United Kingdom primary care. Epidemiology and Infection 144, 537–547.
44.van den Wijngaard, C et al. (2008) Validation of syndromic surveillance for respiratory pathogen activity. Emerging Infectious Diseases 14, 917–925.