Literature DB >> 25858297

Internet-based remote health self-checker symptom data as an adjuvant to a national syndromic surveillance system.

A J Elliot1, E O Kara1, P Loveridge1, Z Bawa1, R A Morbey1, M Moth2, S Large3, G E Smith1.   

Abstract

Syndromic surveillance is an innovative surveillance tool used to support national surveillance programmes. Recent advances in the use of internet-based health data have demonstrated the potential usefulness of these health data; however, there have been limited studies comparing these innovative health data to existing established syndromic surveillance systems. We conducted a retrospective observational study to assess the usefulness of a national internet-based 'symptom checker' service for use as a syndromic surveillance system. NHS Direct online data were extracted for 1 August 2012 to 1 July 2013; a time-series analysis on the symptom categories self-reported by online users was undertaken and compared to existing telehealth syndromic data. There were 3·37 million online users of the internet-based self-checker compared to 1·43 million callers to the telephone triage health service. There was a good correlation between the online and telephone triage data for a number of syndromic indicators including cold/flu, difficulty breathing and eye problems; however, online data appeared to provide additional early warning over telephone triage health data. This assessment has illustrated some potential benefit of using internet-based symptom-checker data and provides the basis for further investigating how these data can be incorporated into national syndromic surveillance programmes.

Entities:  

Keywords:  Internet; public health; syndromic surveillance; telehealth

Mesh:

Year:  2015        PMID: 25858297      PMCID: PMC9150963          DOI: 10.1017/S0950268815000503

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   4.434


  14 in total

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2.  Assessment of syndromic surveillance in Europe.

Authors: 
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4.  Using internet searches for influenza surveillance.

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Journal:  Clin Infect Dis       Date:  2008-12-01       Impact factor: 9.079

5.  Web query-based surveillance in Sweden during the influenza A(H1N1)2009 pandemic, April 2009 to February 2010.

Authors:  A Hulth; G Rydevik
Journal:  Euro Surveill       Date:  2011-05-05

6.  Use of a large general practice syndromic surveillance system to monitor the progress of the influenza A(H1N1) pandemic 2009 in the UK.

Authors:  S E Harcourt; G E Smith; A J Elliot; R Pebody; A Charlett; S Ibbotson; M Regan; J Hippisley-Cox
Journal:  Epidemiol Infect       Date:  2011-04-08       Impact factor: 2.451

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Authors:  Jeremy Ginsberg; Matthew H Mohebbi; Rajan S Patel; Lynnette Brammer; Mark S Smolinski; Larry Brilliant
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8.  Head lice surveillance on a deregulated OTC-sales market: a study using web query data.

Authors:  Johan Lindh; Måns Magnusson; Maria Grünewald; Anette Hulth
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9.  Eye-opening approach to norovirus surveillance.

Authors:  Anette Hulth; Yvonne Andersson; Kjell-Olof Hedlund; Mikael Andersson
Journal:  Emerg Infect Dis       Date:  2010-08       Impact factor: 6.883

10.  Internet use for health-related information via personal computers and cell phones in Japan: a cross-sectional population-based survey.

Authors:  Yoshimitsu Takahashi; Tomoko Ohura; Tatsuro Ishizaki; Shigeru Okamoto; Kenji Miki; Mariko Naito; Rie Akamatsu; Hiroki Sugimori; Nobuo Yoshiike; Koichi Miyaki; Takuro Shimbo; Takeo Nakayama
Journal:  J Med Internet Res       Date:  2011-12-14       Impact factor: 5.428

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  8 in total

1.  Some Innovative Approaches for Public Health and Epidemiology Informatics.

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2.  Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation.

Authors:  Felix Balzer; Markus A Feufel; Malte L Schmieding; Marvin Kopka; Konrad Schmidt; Sven Schulz-Niethammer
Journal:  J Med Internet Res       Date:  2022-05-10       Impact factor: 7.076

3.  Evaluation of symptom checkers for self diagnosis and triage: audit study.

Authors:  Hannah L Semigran; Jeffrey A Linder; Courtney Gidengil; Ateev Mehrotra
Journal:  BMJ       Date:  2015-07-08

4.  Correcting for day of the week and public holiday effects: improving a national daily syndromic surveillance service for detecting public health threats.

Authors:  Elizabeth Buckingham-Jeffery; Roger Morbey; Thomas House; Alex J Elliot; Sally Harcourt; Gillian E Smith
Journal:  BMC Public Health       Date:  2017-05-19       Impact factor: 3.295

5.  Research data management in health and biomedical citizen science: practices and prospects.

Authors:  Ann Borda; Kathleen Gray; Yuqing Fu
Journal:  JAMIA Open       Date:  2019-12-09

6.  Self-triage for acute primary care via a smartphone application: Practical, safe and efficient?

Authors:  Natascha C M Verzantvoort; Teun Teunis; Theo J M Verheij; Alike W van der Velden
Journal:  PLoS One       Date:  2018-06-26       Impact factor: 3.240

7.  Patients' Utilization and Perception of an Artificial Intelligence-Based Symptom Assessment and Advice Technology in a British Primary Care Waiting Room: Exploratory Pilot Study.

Authors:  Stephen Miller; Stephen Gilbert; Vishaal Virani; Paul Wicks
Journal:  JMIR Hum Factors       Date:  2020-07-10

8.  School-based surveillance of acute infectious disease in children: a systematic review.

Authors:  A L Donaldson; J L Hardstaff; J P Harris; R Vivancos; S J O'Brien
Journal:  BMC Infect Dis       Date:  2021-08-03       Impact factor: 3.090

  8 in total

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