GET WELL: an automated surveillance system for gaining new epidemiological knowledge.

Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE

Original Publication: London : BioMed Central, [2001-

Epidemiology* ; Health Promotion* ; Medical Informatics Applications*; Communicable Disease Control/*standards ; Information Storage and Retrieval/*statistics & numerical data ; Internet/*statistics & numerical data ; Population Surveillance/*methods ; Search Engine/*statistics & numerical data; Academies and Institutes/organization & administration ; Humans ; Influenza, Human/diagnosis ; Influenza, Human/physiopathology ; Information Storage and Retrieval/trends ; Seasons ; Software ; Sweden ; Terminology as Topic ; Time and Motion Studies ; Vomiting/diagnosis ; Vomiting/physiopathology

Background: The assumption behind the presented work is that the information people search for on the internet reflects the disease status in society. By having access to this source of information, epidemiologists can get a valuable complement to the traditional surveillance and potentially get new and timely epidemiological insights. For this purpose, the Swedish Institute for Infectious Disease Control collaborates with a medical web site in Sweden.
Methods: We built an application consisting of two conceptual parts. One part allows for trends, based on user specified requests, to be extracted from anonymous web query data from a Swedish medical web site. The second conceptual part permits tailored analyses of particular diseases, where more complex statistical methods are applied to the data. To evaluate the epidemiological relevance of the output, we compared Google search data and search data from the medical web site.
Results: In the paper, we give concrete examples of the output from the web query-based system. We also present results from the comparison between data from the search engine Google and search data from the national medical web site.
Conclusions: The application is in regular use at the Swedish Institute for Infectious Disease Control. A system based on web queries is flexible in that it can be adapted to any disease; we get information on other individuals than those who seek medical care; and the data do not suffer from reporting delays. Although Google data are based on a substantially larger search volume, search patterns obtained from the medical web site may still convey more information from an epidemiological perspective. Furthermore we can see advantages with having full access to the raw data.

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Date Created: 20110423 Date Completed: 20120124 Latest Revision: 20211020

20231215

PMC3098167

10.1186/1471-2458-11-252

21510860