Literature DB >> 33667176

Assessing Public Interest Based on Wikipedia's Most Visited Medical Articles During the SARS-CoV-2 Outbreak: Search Trends Analysis.

Jędrzej Chrzanowski1, Julia Sołek1,2, Wojciech Fendler1, Dariusz Jemielniak3.   

Abstract

BACKGROUND: In the current era of widespread access to the internet, we can monitor public interest in a topic via information-targeted web browsing. We sought to provide direct proof of the global population's altered use of Wikipedia medical knowledge resulting from the new COVID-19 pandemic and related global restrictions.
OBJECTIVE: We aimed to identify temporal search trends and quantify changes in access to Wikipedia Medicine Project articles that were related to the COVID-19 pandemic.
METHODS: We performed a retrospective analysis of medical articles across nine language versions of Wikipedia and country-specific statistics for registered COVID-19 deaths. The observed patterns were compared to a forecast model of Wikipedia use, which was trained on data from 2015 to 2019. The model comprehensively analyzed specific articles and similarities between access count data from before (ie, several years prior) and during the COVID-19 pandemic. Wikipedia articles that were linked to those directly associated with the pandemic were evaluated in terms of degrees of separation and analyzed to identify similarities in access counts. We assessed the correlation between article access counts and the number of diagnosed COVID-19 cases and deaths to identify factors that drove interest in these articles and shifts in public interest during the subsequent phases of the pandemic.
RESULTS: We observed a significant (P<.001) increase in the number of entries on Wikipedia medical articles during the pandemic period. The increased interest in COVID-19-related articles temporally correlated with the number of global COVID-19 deaths and consistently correlated with the number of region-specific COVID-19 deaths. Articles with low degrees of separation were significantly similar (P<.001) in terms of access patterns that were indicative of information-seeking patterns.
CONCLUSIONS: The analysis of Wikipedia medical article popularity could be a viable method for epidemiologic surveillance, as it provides important information about the reasons behind public attention and factors that sustain public interest in the long term. Moreover, Wikipedia users can potentially be directed to credible and valuable information sources that are linked with the most prominent articles. ©Jędrzej Chrzanowski, Julia Sołek, Dariusz Jemielniak, Dariusz Jemielniak. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 12.04.2021.

Entities:  

Keywords:  COVID-19; Wikipedia; infodemiology; information seeking; infoveillance; interest; internet; media; online health information; pandemic; retrospective; surveillance

Year:  2021        PMID: 33667176     DOI: 10.2196/26331

Source DB:  PubMed          Journal:  J Med Internet Res        ISSN: 1438-8871            Impact factor:   5.428


  6 in total

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4.  What's hot and what's not in lay psychology: Wikipedia's most-viewed articles.

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5.  Undergraduate Students' Online Health Information-Seeking Behavior during the COVID-19 Pandemic.

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Journal:  Int J Environ Res Public Health       Date:  2021-12-16       Impact factor: 3.390

6.  Searching for HIV and AIDS Health Information in South Africa, 2004-2019: Analysis of Google and Wikipedia Search Trends.

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  6 in total

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