دورية أكاديمية
What value can Google search data add to existing syndromic surveillance systems?
| العنوان: | What value can Google search data add to existing syndromic surveillance systems? |
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| المؤلفون: | Green, Helen K., Edeghere, Obaghe, Elliot, Alex, Cox, Ingemar, McKendry, Rachel, Smith, Gillian |
| المصدر: | Online Journal of Public Health Informatics; Vol 10 No 1 (2018) ; 1947-2579 |
| بيانات النشر: | University of Illinois at Chicago Library |
| سنة النشر: | 2018 |
| المجموعة: | University of Illinois at Chicago: Journals@UIC |
| الوصف: | ObjectiveTo carry out an observational study to explore what added value Google search data can provide to existing routine syndromic surveillance systems in England for a range of conditions of public health importance and summarise lessons learned for other countries.IntroductionGlobally, there have been various studies assessing trends in Google search terms in the context of public health surveillance1. However, there has been a predominant focus on individual health outcomes such as influenza, with limited evidence on the added value and practical impact on public health action for a range of diseases and conditions routinely monitored by existing surveillance programmes. A proposed advantage is improved timeliness relative to established surveillance systems. However, these studies did not compare performance against other syndromic data sources, which are often monitored daily and already offer early warning over traditional surveillance methods. Google search data could also potentially contribute to assessing the wider population health impact of public health events by supporting estimation of the proportion of the population who are symptomatic but may not present to healthcare services.MethodsWe sought to determine the added public health utility of Google search data alongside established syndromic surveillance systems in England2 for a range of conditions of public health importance, including allergic rhinitis, scarlet fever, bronchitis, pertussis, measles, rotavirus and the health impact of heatwaves. Google search term selection was based on diagnostic and clinical codes underlying the syndromic indicators, with Google Trends3 used to identify additional related internet search terms. Daily data was extracted from syndromic surveillance systems2 and from the Google Health Trends Application Programming Interface (API) from 2012 to 2017 and a retrospective daily analysis undertaken during pre-identified public health events to identify a) whether signals were detected during these events and b) ... |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| العلاقة: | https://journals.uic.edu/ojs/index.php/ojphi/article/view/8347/7412Test; https://journals.uic.edu/ojs/index.php/ojphi/article/view/8347Test |
| DOI: | 10.5210/ojphi.v10i1.8347 |
| الإتاحة: | https://doi.org/10.5210/ojphi.v10i1.8347Test https://journals.uic.edu/ojs/index.php/ojphi/article/view/8347Test |
| حقوق: | Copyright (c) 2018 Online Journal of Public Health Informatics |
| رقم الانضمام: | edsbas.D56F89C0 |
| قاعدة البيانات: | BASE |
| DOI: | 10.5210/ojphi.v10i1.8347 |
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