Syndromic Surveillance is the real-time (or near real-time) collection, analysis, interpretation and dissemination of health-related data to enable the early identification of the impact (or absence of impact) of potential human or veterinary public-health threats which require effective public health action.
The Public Health England (PHE) Real-time Syndromic Surveillance Team (ReSST) co-ordinate several national syndromic systems and produce routine syndromic surveillance bulletins and reports. Further information on each of these systems, and the latest available surveillance data are available on these web pages.
Latest Real-time Syndromic Surveillance Team Publications
Green HK, Zhao H, Boddington NL, Andrews N, Durnall H, Elliot AJ, Smith G, Gorton R, Donati M, Ellis J, Zambon M, Pebody R. Detection of varying influenza circulation within England in 2012/13: informing antiviral prescription and public health response. J Public Health (Oxf). 2014. doi: 10.1093/pubmed/fdu046
Ghosh A, Carmichael C, Elliot AJ, Green HK, Murray V, Petrokofsky C. The Cold Weather Plan evaluation: an example of pragmatic evidence-based policy making? Public Health. 2014;128(7):619-627.
Hughes HE, Morbey R, Hughes TC, Locker T, Shannon T, Carmichael C, Murray V, Ibbotson S, Catchpole M, McCloskey B, Smith G, Elliot AJ. Using an emergency department syndromic surveillance system to investigate the impact of extreme cold weather events. Public Health. 2014; 128(9):628-635.
The ReSST have produced a brief summary of the statistical methods used during routine daily syndromic surveillance. These statistical methods help identify unusual increases or spikes in activity and whether activity is higher than seen in previous years: ReSST Description of statistical methods (PDF, 148 KB)
Green HK, Charlett A, Moran-Gilad J, Fleming D, Durnall H, Thomas DR, Cottrell S, Smyth B, Kearns C, Reynolds AJ, Smith GE, Elliot AJ, Ellis J, Zambon M, Watson JM, McMenamin J, Pebody RG. 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. Epidemiol Infect. 2014. doi:10.1017/S0950268814001757
Pebody RG, Green HK, Andrews N, Zhao H, Boddington N, Bawa Z, Durnall H, Singh N, Sunderland A, Letley L, Ellis J, Elliot AJ, Donati M, Smith GE, de Lusignan S, Zambon M. Uptake and impact of a new live attenuated influenza vaccine programme in England: early results of a pilot in primary school-age children, 2013/2014 influenza season. EuroSurveillance 2014;19(22):pii=20823. http://www.eurosurveillance.org/ViewArticle.aspx?ArticleId=20823
McCloskey B, Endericks T, Catchpole M, Zambon M, McLauchlin J, Shetty N, Manuel R, Turbitt D, Smith G, Crook P, Severi E, Jones J, Ibbotson S, Marshall R, Smallwood CA, Isla N, Memish ZA, Al-Rabeeah AA, Barbeschi M, Heymann DL, Zumla A. London 2012 Olympic and Paralympic Games: public health surveillance and epidemiology. Lancet 2014;383(9934):2083-2089.
Morbey RA, Elliot AJ, Charlett A, Andrews N, Verlander NQ, Ibbotson S, Smith GE. Development and refinement of new statistical methods for enhanced syndromic surveillance during the 2012 Olympic and Paralympic Games. Health Informatics J. 2014; doi: 10.1177/1460458213517577.
Morbey RA, Elliot AJ, Charlett A, Ibbotson S, Verlander NQ, Leach S, Hall I, Barrass I, Catchpole M, McCloskey B, Said B, Walsh A, Pebody R, Smith GE. Using public health scenarios to predict the utility of a national syndromic surveillance programme during the 2012 London Olympic and Paralympic Games. Epidemiol. Infect. 2014;142(5):984-93.
Elliot AJ, Hughes HE, Hughes TC, Locker TE, Brown R, Sarran C, Clewlow Y, Murray V, Bone A, Catchpole M, McCloskey B, Smith GE. The impact of thunderstorm asthma on emergency department attendances across London during July 2013. Emerg Med J. 2014; 31(8):675-678.
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