Literature DB >> 25877054

Web search behavior for multiple sclerosis: An infodemiological study.

Francesco Brigo1, Piergiorgio Lochner2, Frediano Tezzon2, Raffaele Nardone3.   

Abstract

OBJECTIVE: Millions of people worldwide use the Internet daily as a source of health information. Google is the most popular search engine and is used by patients and physicians to search for online health-related information. This study aimed to evaluate changes in Web search behavior occurring in English-speaking countries over time for the term "multiple sclerosis" (MS).
METHODS: Using Google Trends, data on global search queries for the term "multiple sclerosis" between January 2004 and December 2013 were analyzed.
RESULTS: Over time there was a reduction in tendency to search for the term "multiple sclerosis". Most terms associated with the search queries for MS were related to causes and symptoms (including pain) of the disease, and most peaks in search volume over the period studied corresponded to news of celebrities having MS.
CONCLUSIONS: Most people appear to use search engines to look for MS to obtain information on symptoms, possibly to aid initial self-diagnosis. News on celebrities with MS seem to be a major factor that influences online search behavior.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Google Trends; Infodemiology; Internet; Multiple sclerosis; Web

Year:  2014        PMID: 25877054     DOI: 10.1016/j.msard.2014.02.005

Source DB:  PubMed          Journal:  Mult Scler Relat Disord        ISSN: 2211-0348            Impact factor:   4.339


  14 in total

Review 1.  Neurology and the Internet: a review.

Authors:  Marcello Moccia; Francesco Brigo; Gioacchino Tedeschi; Simona Bonavita; Luigi Lavorgna
Journal:  Neurol Sci       Date:  2018-03-28       Impact factor: 3.307

2.  The utility of web mining for epidemiological research: studying the association between parity and cancer risk.

Authors:  Georgia Tourassi; Hong-Jun Yoon; Songhua Xu; Xuesong Han
Journal:  J Am Med Inform Assoc       Date:  2015-11-27       Impact factor: 4.497

3.  Why do people google movement disorders? An infodemiological study of information seeking behaviors.

Authors:  Francesco Brigo; Roberto Erro
Journal:  Neurol Sci       Date:  2016-02-04       Impact factor: 3.307

4.  Social Media and Multiple Sclerosis in the Posttruth Age.

Authors:  Luigi Lavorgna; Roberta Lanzillo; Vincenzo Brescia Morra; Gianmarco Abbadessa; Gioacchino Tedeschi; Simona Bonavita
Journal:  Interact J Med Res       Date:  2017-09-27

5.  Burden of neurological diseases in the US revealed by web searches.

Authors:  Ricardo Baeza-Yates; Puneet Mohan Sangal; Pablo Villoslada
Journal:  PLoS One       Date:  2017-05-22       Impact factor: 3.240

6.  Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era.

Authors:  Amaryllis Mavragani; Alexia Sampri; Karla Sypsa; Konstantinos P Tsagarakis
Journal:  JMIR Public Health Surveill       Date:  2018-03-12

Review 7.  Population's health information-seeking behaviors and geographic variations of stroke in Malaysia: an ecological correlation and time series study.

Authors:  Kurubaran Ganasegeran; Alan Swee Hock Ch'ng; Zariah Abdul Aziz; Irene Looi
Journal:  Sci Rep       Date:  2020-07-09       Impact factor: 4.379

8.  Assessing the Methods, Tools, and Statistical Approaches in Google Trends Research: Systematic Review.

Authors:  Amaryllis Mavragani; Gabriela Ochoa; Konstantinos P Tsagarakis
Journal:  J Med Internet Res       Date:  2018-11-06       Impact factor: 5.428

9.  Googling for Neurological Disorders: From Seeking Health-Related Information to Patient Empowerment, Advocacy, and Open, Public Self-Disclosure in the Neurology 2.0 Era.

Authors:  Mariano Martini; Nicola Luigi Bragazzi
Journal:  J Med Internet Res       Date:  2021-03-26       Impact factor: 5.428

10.  Impact of a multimedia website with patient experiences of multiple sclerosis (PExMS) on immunotherapy decision-making: study protocol for a pilot randomised controlled trial in a mixed-methods design.

Authors:  Anna Barabasch; Karin Riemann-Lorenz; Christopher Kofahl; Jutta Scheiderbauer; Desiree Eklund; Ingo Kleiter; Jürgen Kasper; Sascha Köpke; Susanne Lezius; Antonia Zapf; Anne Christin Rahn; Christoph Heesen
Journal:  Pilot Feasibility Stud       Date:  2021-01-07
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