Infodemiology of status epilepticus: A systematic validation of the Google Trends-based search queries

Bragazzi, Nicola Luigi; Bacigaluppi, Susanna; Robba, Chiara; Nardone, Raffaele; Trinka, Eugen; Brigo, Francesco

doi:10.1016/j.yebeh.2015.12.017

Cited by 41 publications

(28 citation statements)

References 19 publications

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“…Also, the users share their health experiences or even ask for counseling engaged in social media [Heaivilin et al, 2011]. These behaviors generate a considerable volume of data that can help researchers in the understanding of the communities' needs regarding particular diseases and/or alterations [Cho et al, 2013;Bragazzi et al, 2016].…”

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confidence: 99%

What Can Google Inform Us about People's Interests regarding Dental Caries in Different Populations?

Aguirre

Coelho²,

Oliveira³

et al. 2018

Caries Res

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The diagnosis or suspicion of dental caries can lead people to seek additional information on the Internet through the use of structured queries in search engine tools. This action generates a considerable volume of data, which can be analyzed to provide a better understanding of the public's behavior linked to the consumption of oral health information. This study aimed to assess the volume and profile of web searches on dental caries-related queries performed by Google users from different countries. The monthly variation of the Search Volume Index (SVI) for dental caries was obtained in Google Trends for the period between January 2004 and September 2016. The validity of SVI data was assessed by their levels of stability and correlation with the disability-adjusted life-years (DALYs) for permanent teeth. In all countries, a trend of an increasing interest of Google users in dental caries issues was revealed by the comparison of the means observed in the predictive models and those in the last 12 months. The interest levels varied throughout the year, with the observation of the highest SVI values in the spring and the lowest in the summer. The most popular queries were markedly associated with symptoms and treatments, with a little interest in prevention. In conclusion, the use of Internet data mining could be helpful in establishing the dental needs of specific population groups in a near real-time, since the web consumption of dental information is increasing in importance and appears to have a direct relation with untreated dental caries.

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confidence: 99%

What Can Google Inform Us about People's Interests regarding Dental Caries in Different Populations?

Aguirre

Coelho²,

Oliveira³

et al. 2018

Caries Res

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“…8,9 Disease seasonality, as we and others have shown, appears to be productively pursued using this tool. …”

Section: Discussionmentioning

confidence: 74%

Seasonality of Ankle Swelling: Population Symptom Reporting Using Google Trends

Liu¹,

Allan²,

Korownyk³

et al. 2016

The Annals of Family Medicine

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In our experience, complaints of ankle swelling are more common in summer, typically from patients with no obvious cardiovascular disease. Surprisingly, this observation has never been reported. To objectively establish this phenomenon, we sought evidence of seasonality in the public's Internet searches for ankle swelling. Our data, obtained from Google Trends, consisted of all related Google searches in the United States from January 4, 2004, to January 26, 2016. Consistent with our expectations and confirmed by similar data for Australia, Internet searches for information on ankle swelling are highly seasonal (highest in midsummer), with seasonality explaining 86% of search volume variability.

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“…In addition, a limitation of the tool is that it has been observed that data retrieved on different time points for the same time-frame may slightly vary. Despite the above, many studies in various subjects have shown that indeed Google data can be used to analyze or predict behavioral variations [4,5,8,13,16,23,26,[90][91][92] and that empirical relationships exist between online search traffic data and human behavior [93,94].…”

Section: Discussionmentioning

confidence: 99%

Predicting referendum results in the Big Data Era

Mavragani

Tsagarakis

2019

J Big Data

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IntroductionBig Data are large data volumes characterized by the 8 Vs: 'Volume' [1], Variety, Velocity [2], Variability, Value, Volatility, Validity, and Veracity [3]. A popular way to access and use this vast amount of information is the analysis of online search queries [4,5], with the most notable research on the subject taking into account data from Google Trends [6]; a tool that measures variations in the online interest. The validity of Google Trends' data has been undoubtedly shown [7], while many studies have suggested that they are valuable, accurate, and of high benefit for forecastings [8-13], predictions [14] and nowcastings [15], in analyzing online interest [8], and in decision making [3].Google Trends as a tool is highly integrated in research, with notable contributions in the fields of health and medicine [16][17][18][19][20][21][22][23], economics and finance [4,[24][25][26][27], and the environment [28]. The use of Google Trends in political science in general and in predicting election and referendum outcomes in specific is showing promising results so AbstractIn addressing the challenge of Big Data Analytics, what has been of notable significance is the analysis of online search traffic data in order to analyze and predict human behavior. Over the last decade, since the establishment of the most popular such tool, Google Trends, the use of online data has been proven valuable in various research fields, including -but not limited to-medicine, economics, politics, the environment, and behavior. In the field of politics, given the inability of poll agencies to always well approximate voting intentions and results over the past years, what is imperative is to find new methods of predicting elections and referendum outcomes. This paper aims at presenting a methodology of predicting referendum results using Google Trends; a method applied and verified in six separate occasionsSaid referendums were of importance for the respective country and the EU as well, and received wide international attention. Google Trends has been empirically verified to be a tool that can accurately measure behavioral changes as it takes into account the users' revealed and not the stated preferences. Thus we argue that, in the time of intelligence excess, Google Trends can well address the analysis of social changes that the internet brings. which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

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Infodemiology of status epilepticus: A systematic validation of the Google Trends-based search queries

Cited by 41 publications

References 19 publications

What Can Google Inform Us about People's Interests regarding Dental Caries in Different Populations?

What Can Google Inform Us about People's Interests regarding Dental Caries in Different Populations?

Seasonality of Ankle Swelling: Population Symptom Reporting Using Google Trends

Predicting referendum results in the Big Data Era

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