Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Mar 6, 2025
Open Peer Review Period: Mar 7, 2025 - May 2, 2025
Date Accepted: Jul 8, 2025
(closed for review but you can still tweet)
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
The development and growth of the English national real-time syndromic surveillance programme: a tutorial on the key developments and lessons learnt from the first two decades
ABSTRACT
Background:
Syndromic surveillance now forms an integral part of the surveillance for a wide range of hazards in many countries. Establishing syndromic surveillance systems can be difficult due to the many different sources of data which can be used, cost pressures, the importance of data security and different technologies.
Objective:
We describe major points in the development of the UK Health Security Agency (UKHSA) English real-time syndromic surveillance service over its first two decades (1998 to 2018) and key wider themes we believe are important in ensuring a sustainable and useful syndromic surveillance service.
Methods:
We conducted semi-structured interviews with current members of the UKHSA syndromic surveillance team who were involved from the earliest stages and previous senior colleagues who were supportive of the syndromic surveillance work during the early phases. We asked their views about the development of syndromic surveillance, the key drivers and the challenges.
Results:
Using the results of the discussions and our personal experience of running the syndromic surveillance service from inception and over decades, we summarise our recommendations for establishing and running sustainable syndromic surveillance systems.
Conclusions:
In this age of increased automation, with the ability to transfer data in real-time and to utilise machine learning and artificial intelligence, we are approaching a ‘new age of syndromic surveillance’. We consider the focus on the public health questions, relationships and collaboration, leadership and true teamwork should not be underestimated in the success of and usefulness of real-time syndromic surveillance systems.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.