Novel public health risk assessment process developed to support syndromic surveillance for the 2012 Olympic and Paralympic Games

Smith, Gillian; Elliot, Alex J; Ibbotson, Sue; Morbey, Roger; Edeghere, Obaghe; Hawker, Jeremy; Catchpole, Mike; Endericks, Tina; Fisher, Paul; McCloskey, Brian

doi:10.1093/pubmed/fdw054

Cited by 19 publications

(28 citation statements)

References 11 publications

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“…Whereas traditional surveillance analyses have tended to focus on a single time series of case counts or rates, the increasing availability of data from clinical systems and other sources has provided the opportunity to consider additional covariates within each record (74,88) and to integrate data on risk factors and multiple outcomes into a single analysis (56). Another strategy for integrating data from multiple sources has been to develop decision rules or policies based on the pattern of alerts observed across data streams (78). Data integration also poses a challenge in chronic disease surveillance, where, given the multifactorial causation and complex progression of most chronic conditions, surveillance systems tend to follow multiple indicators concurrently.…”

Section: Analysis and Interpretation Of Data In Surveillance Systemsmentioning

confidence: 99%

Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation

Groseclose

Buckeridge

2017

Annu. Rev. Public Health

250

192

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Surveillance is critical for improving population health. Public health surveillance systems generate information that drives action, and the data must be of sufficient quality and with a resolution and timeliness that matches objectives. In the context of scientific advances in public health surveillance, changing health care and public health environments, and rapidly evolving technologies, the aim of this article is to review public health surveillance systems. We consider their current use to increase the efficiency and effectiveness of the public health system, the role of system stakeholders, the analysis and interpretation of surveillance data, approaches to system monitoring and evaluation, and opportunities for future advances in terms of increased scientific rigor, outcomes-focused research, and health informatics.

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Section: Analysis and Interpretation Of Data In Surveillance Systemsmentioning

confidence: 99%

Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation

Groseclose

Buckeridge

2017

Annu. Rev. Public Health

250

192

View full text Add to dashboard Cite

show abstract

“…We selected respiratory indicators from each data source, including ILI, upper and lower respiratory tract infection, acute respiratory infection, and pneumonia ( Table 1 ). We captured, analyzed, and interpreted data contemporaneously with the study period by epidemiologic, statistical, and risk assessment processes ( 27 , 28 ).…”

Section: Methodsmentioning

confidence: 99%

Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014–15

Smith¹,

Morbey²,

Pebody³

et al. 2017

Emerg. Infect. Dis.

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During winter 2014–15, England experienced severe strains on acute health services. We investigated whether syndromic surveillance could contribute to understanding of the unusually high level of healthcare needs. We compared trends for several respiratory syndromic indicators from that winter to historical baselines. Cumulative and mean incidence rates were compared by winter and age group. All-age influenza-like illness was at expected levels; however, severe asthma and pneumonia levels were above those expected. Across several respiratory indicators, cumulative incidence rates during 2014–15 were similar to those of previous years, but higher for older persons; we saw increased rates of acute respiratory disease, including influenza like illness, severe asthma, and pneumonia, in the 65–74- and >75-year age groups. Age group–specific statistical algorithms may provide insights into the burden on health services and improve early warning in future winters.

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“…However, an incident director still needs an output from the syndromic surveillance service which is interpreted by epidemiologists with syndromic surveillance knowledge and working within a public health context. A line list of multiple statistical alarms for multiple syndromes will be of little help to a busy incident director, and in the planning for the 2012 Games, this was emphasised by those leading the public health response and was addressed by the introduction of a syndromic surveillance risk assessment system [ 7 , 14 ].…”

Section: Lessons Learnt For Syndromic Surveillancementioning

confidence: 99%

Syndromic surveillance: two decades experience of sustainable systems – its people not just data!

et al. 2019

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Syndromic surveillance is a form of surveillance that generates information for public health action by collecting, analysing and interpreting routine health-related data on symptoms and clinical signs reported by patients and clinicians rather than being based on microbiologically or clinically confirmed cases. In England, a suite of national real-time syndromic surveillance systems (SSS) have been developed over the last 20 years, utilising data from a variety of health care settings (a telehealth triage system, general practice and emergency departments). The real-time systems in England have been used for early detection (e.g. seasonal influenza), for situational awareness (e.g. describing the size and demographics of the impact of a heatwave) and for reassurance of lack of impact on population health of mass gatherings (e.g. the London 2012 Olympic and Paralympic Games).We highlight the lessons learnt from running SSS, for nearly two decades, and propose questions and issues still to be addressed. We feel that syndromic surveillance is an example of the use of ‘big data’, but contend that the focus for sustainable and useful systems should be on the added value of such systems and the importance of people working together to maximise the value for the public health of syndromic surveillance services.

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Novel public health risk assessment process developed to support syndromic surveillance for the 2012 Olympic and Paralympic Games

Cited by 19 publications

References 11 publications

Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation

Public Health Surveillance Systems: Recent Advances in Their Use and Evaluation

Retrospective Observational Study of Atypical Winter Respiratory Illness Season Using Real-Time Syndromic Surveillance, England, 2014–15

Syndromic surveillance: two decades experience of sustainable systems – its people not just data!

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