Literature DB >> 25873438

Google search behavior for status epilepticus.

Francesco Brigo1, Eugen Trinka2.   

Abstract

BACKGROUND: Millions of people surf the Internet every day as a source of health-care information looking for materials about symptoms, diagnosis, treatments and their possible adverse effects, or diagnostic procedures. 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 Google search behavior occurring in English-speaking countries over time for the term "status epilepticus" (SE).
METHODS: Using Google Trends, data on global search queries for the term SE between the 1st of January 2004 and 31st of December 2014 were analyzed. Search volume numbers over time (downloaded as CSV datasets) were analyzed by applying the "health" category filter.
RESULTS: The research trends for the term SE remained fairly constant over time. The greatest search volume for the term SE was reported in the United States, followed by India, Australia, the United Kingdom, Canada, the Netherlands, Thailand, and Germany. Most terms associated with the search queries were related to SE definition, symptoms, subtypes, and treatment. The volume of searches for some queries (nonconvulsive, focal, and refractory SE; SE definition; SE guidelines; SE symptoms; SE management; SE treatment) was enormously increased over time (search popularity has exceeded a 5000% growth since 2004).
CONCLUSIONS: Most people use search engines to look for the term SE to obtain information on its definition, subtypes, and management. The greatest search volume occurred not only in developed countries but also in developing countries where raising awareness about SE still remains a challenging task and where there is reduced public knowledge of epilepsy. Health information seeking (the extent to which people search for health information online) reflects the health-related information needs of Internet users for a specific disease. Google Trends shows that Internet users have a great demand for information concerning some aspects of SE (definition, subtypes, symptoms, treatment, and guidelines). Policy makers and neurological scientific societies have the responsibility to try to meet these information needs and to better target public information campaigns on SE to the general population. This article is part of a Special Issue entitled "Status Epilepticus".
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Google; Infodemiology; Internet; Status epilepticus; Web

Mesh:

Year:  2015        PMID: 25873438     DOI: 10.1016/j.yebeh.2015.02.029

Source DB:  PubMed          Journal:  Epilepsy Behav        ISSN: 1525-5050            Impact factor:   2.937


  15 in total

1.  Using Google Trends to assess global public interest in osteoarthritis.

Authors:  Samuel S Jellison; Michael Bibens; Jake Checketts; Matt Vassar
Journal:  Rheumatol Int       Date:  2018-09-15       Impact factor: 2.631

2.  Leveraging Google Trends to investigate the global public interest in rheumatoid arthritis.

Authors:  Guo-Cui Wu; Sha-Sha Tao; Chan-Na Zhao; Yan-Mei Mao; Qian Wu; Yi-Lin Dan; Hai-Feng Pan
Journal:  Rheumatol Int       Date:  2019-04-06       Impact factor: 2.631

3.  The Detection of Emerging Trends Using Wikipedia Traffic Data and Context Networks.

Authors:  Mirko Kämpf; Eric Tessenow; Dror Y Kenett; Jan W Kantelhardt
Journal:  PLoS One       Date:  2015-12-31       Impact factor: 3.240

4.  Disease Monitoring and Health Campaign Evaluation Using Google Search Activities for HIV and AIDS, Stroke, Colorectal Cancer, and Marijuana Use in Canada: A Retrospective Observational Study.

Authors:  Rebecca Ling; Joon Lee
Journal:  JMIR Public Health Surveill       Date:  2016-10-12

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.  Diurnal Variations of Depression-Related Health Information Seeking: Case Study in Finland Using Google Trends Data.

Authors:  Jonas Christoffer Tana; Jyrki Kettunen; Emil Eirola; Heikki Paakkonen
Journal:  JMIR Ment Health       Date:  2018-05-23

7.  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

Review 8.  Open Humans: A platform for participant-centered research and personal data exploration.

Authors:  Bastian Greshake Tzovaras; Misha Angrist; Kevin Arvai; Mairi Dulaney; Vero Estrada-Galiñanes; Beau Gunderson; Tim Head; Dana Lewis; Oded Nov; Orit Shaer; Athina Tzovara; Jason Bobe; Mad Price Ball
Journal:  Gigascience       Date:  2019-06-01       Impact factor: 6.524

9.  Measures of Patient Dissatisfaction With Health Care in Polycystic Ovary Syndrome: Retrospective Analysis.

Authors:  Luis R Hoyos; Manesha Putra; Abigail A Armstrong; Connie Y Cheng; Carrie K Riestenberg; Tery A Schooler; Daniel A Dumesic
Journal:  J Med Internet Res       Date:  2020-04-21       Impact factor: 5.428

10.  Google search behavior for meningitis and its vaccines: an infodemiological study.

Authors:  John Angelo Luigi S Perez; Adrian I Espiritu; Roland Dominic G Jamora
Journal:  BMC Neurol       Date:  2021-06-23       Impact factor: 2.474

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.