{"id":13554,"date":"2021-04-14T09:48:49","date_gmt":"2021-04-14T14:48:49","guid":{"rendered":"https:\/\/saluddigital.com\/?p=13554"},"modified":"2025-10-21T12:49:39","modified_gmt":"2025-10-21T18:49:39","slug":"tendencias-de-busqueda-en-wikipedia-durante-la-pandemia-de-covid-19","status":"publish","type":"post","link":"https:\/\/saluddigital.com\/en\/comunidades-conectadas\/tendencias-de-busqueda-en-wikipedia-durante-la-pandemia-de-covid-19\/","title":{"rendered":"Wikipedia search trends during the COVID-19 pandemic"},"content":{"rendered":"
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Study Published in Journal of Medical Internet Research, analyses search trends and articles visited on Wikipedia, during the COVID-19 pandemic.<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Today, thanks to digitization and mass access to the Internet, it is possible to monitor public interests online. This study presents direct evidence of the population's use of an information platform such as Wikipedia during the COVID-19 pandemic.<\/p>

The objective of the study was to \u201cidentify temporal search trends and quantify changes in access to Wikipedia Medicine Project articles that were related to the COVID-19 pandemic.\u201d<\/p>

The study was conducted through a retrospective analysis of medical articles in nine different languages available on Wikipedia, as well as country-specific statistics on COVID-19 deaths. \u201cThe 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,\u201d the authors explain in the publication.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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A list of 37, 880 English Wikipedia articles were compiled by the authors and daily accesses were counted from July 1, 2015 to September 13, 2020, a figure that was then limited to 100 articles also corresponding to Wikipedia Medicine Project, these were also obtained in nine different language versions: French, German, Swedish, Dutch, Russian, Italian, Spanish, Polish, and Vietnamese. This yielded data on daily accesses from July 2015 to September 13, 2020.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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\u201cTo identify deviations in the stability of article visits, we chose articles that exhibited the least altered access patterns throughout the investigated period,\u201d the article explains.<\/p>

Regarding the COVID-19 pandemic and the possible increase in access to these articles the authors explained the following: \u201cFirst, we investigated the association between Wikipedia access before and during the COVID-19 pandemic. Second, we determined whether there were specific articles of interest before and during the COVID-19 pandemic (ie, excluding the years that were associated with other epidemics that were covered in media). We also investigated whether the total number of global and regional deaths resulting from SARS-CoV-2 were associated with increased access to articles of interest during the COVID-19 pandemic.\u201d<\/p>

Search patterns were identified and analysed, distinguishing between before and during the pandemic, \u201cwe performed separate unsupervised clustering analyses for the 2017-2019 and 2020 periods. We excluded the 2015-2016 period due to the possible influence of the Zika virus epidemic, which could have promoted interests in the general population that were similar to interests during the COVID-19 pandemic. As such, we were able to identify articles of user interest during the 2017-2019 and 2020 periods.\u201d<\/p>

Finally, important results were obtained, it was possible to observe a significant increase in the number of medical articles during the pandemic. \u201cThe increased interest in COVID-19\u2013related articles temporally correlated with the number of global COVID-19 deaths and consistently correlated with the number of region-specific COVID-19 deaths.\u201d<\/p>

As a conclusion the authors explained that the interest in Wikipedia medical articles, could be a viable method for epidemiological analysis and surveillance, by providing relevant information on the interest of the population. In fact, a few months ago an article on early warnings of COVID-19 outbreaks informed by Twitter users<\/a>was published, it highlighted the importance of users' actions on the network and how it can be useful for monitoring future outbreaks. Additionally, Wikipedia has external references to valuable information that users could be redirected to for full information.<\/p>

You can find the full study here: https:\/\/www.jmir.org\/2021\/4\/e26331<\/a><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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JMIR<\/strong><\/p>

https:\/\/www.jmir.org\/2021\/4\/e26331<\/a><\/p><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"

Estudio Publicado en Journal of Medical Internet Research, analiza las tendencias de b\u00fasqueda y de art\u00edculos visitados en Wikipedia, durante la pandemia de COVID-19. Actualmente gracias a la digitalizaci\u00f3n y el acceso masivo a Internet, es posible realizar monitoreos del inter\u00e9s p\u00fablico en l\u00ednea. Este estudio presenta una prueba directa del uso por parte de la poblaci\u00f3n, de una plataforma informativa como lo es Wikipedia, durante la pandemia de COVID-19. El objetivo del estudio fue “identificar las tendencias de b\u00fasqueda temporal y cuantificar los cambios en el acceso a los art\u00edculos del Proyecto de Medicina de Wikipedia relacionados con la pandemia de COVID-19”. El estudio fue realizado a trav\u00e9s de un an\u00e1lisis retrospectivo de art\u00edculos m\u00e9dicos en nueve idiomas distintos disponibles en Wikipedia, as\u00ed como estad\u00edsticas espec\u00edficas de cada pa\u00eds sobre fallecimientos por COVID-19. “Los patrones observados se compararon con un modelo de pron\u00f3stico del uso de Wikipedia, que se entren\u00f3 con datos de 2015 a 2019. El modelo analiz\u00f3 exhaustivamente art\u00edculos espec\u00edficos y similitudes entre los datos de recuento de acceso de antes (es decir, varios a\u00f1os antes) y durante la pandemia de COVID-19”, explican los autores en la publicaci\u00f3n. Fueron recopilados por los autores una lista de 37, 880 art\u00edculos de Wikipedia en ingl\u00e9s y se contabilizaron los accesos diarios desde el 1 de julio de 2015 hasta el 13 de septiembre de 2020, cifra que despu\u00e9s fue limitada a 100 art\u00edculos que tambi\u00e9n corresponden a Wikipedia Medicine Project, estos se obtuvieron tambi\u00e9n en nueve versiones ling\u00fc\u00edsticas distintas: franc\u00e9s, alem\u00e1n, sueco, holand\u00e9s, ruso, italiano, espa\u00f1ol, polaco y vietnamita. De esta forma se obtuvieron datos de los accesos diarios desde julio 2015 hasta 13 de septiembre de 2020. \u201cPara identificar las desviaciones en la estabilidad de las visitas a los art\u00edculos, elegimos los art\u00edculos que exhib\u00edan los patrones de acceso menos alterados durante el per\u00edodo investigado\u201d, explica el art\u00edculo. En relaci\u00f3n a la pandemia de COVID-19 y el posible incremento en el acceso a estos art\u00edculos los autores explicaron lo siguiente: \u201cPrimero, investigamos la asociaci\u00f3n entre el acceso a Wikipedia antes y durante la pandemia de COVID-19. En segundo lugar, determinamos si hab\u00eda art\u00edculos espec\u00edficos de inter\u00e9s antes y durante la pandemia de COVID-19 (es decir, excluyendo los a\u00f1os que estaban asociados con otras epidemias que fueron cubiertos en los medios). Tambi\u00e9n investigamos si el n\u00famero total de muertes globales y regionales resultantes del SARS-CoV-2 se relacion\u00f3 con un mayor acceso a art\u00edculos de inter\u00e9s durante la pandemia de COVID-19\u201d. Los patrones de b\u00fasqueda fueron identificados y analizados, haciendo distinci\u00f3n entre antes y durante la pandemia, “realizamos an\u00e1lisis de agrupamiento no supervisados \u200b\u200bpor separado para los per\u00edodos 2017-2019 y 2020. Se excluy\u00f3 el per\u00edodo 2015-2016 debido a la posible influencia de la epidemia del virus del Zika, que podr\u00eda haber promovido intereses en la poblaci\u00f3n en general similares a los intereses durante la pandemia de COVID-19. Como tal, pudimos identificar art\u00edculos de inter\u00e9s de los usuarios durante los per\u00edodos 2017-2019 y 2020”. Finalmente, se obtuvieron resultados importantes, fue posible observan un aumento significativo en el n\u00famero de art\u00edculos m\u00e9dicos durante la pandemia. “El mayor inter\u00e9s en los art\u00edculos relacionados con COVID-19 se correlacion\u00f3 temporalmente con el n\u00famero de muertes por COVID-19 en todo el mundo y se correlacion\u00f3 de manera constante con el n\u00famero de muertes por COVID-19 espec\u00edficas de la regi\u00f3n”. Como conclusi\u00f3n los autores explicaron que el inter\u00e9s en los art\u00edculos m\u00e9dicos de Wikipedia, podr\u00eda ser un m\u00e9todo viable para el an\u00e1lisis y vigilancia epidemiol\u00f3gica, al proporcionar informaci\u00f3n relevante sobre el inter\u00e9s de la poblaci\u00f3n. De hecho, hace unos meses fue publicado un art\u00edculo sobre advertencias tempranas de brotes de COVID-19 a trav\u00e9s de Twitter, resaltando la importancia de las acciones de los usuarios en la red y c\u00f3mo puede ser \u00fatil para controlar los brotes futuros. Adicionalmente, Wikipedia cuenta con referencias externas de informaci\u00f3n valiosa a las que los usuarios podr\u00edan ser redirigidos para consultar la informaci\u00f3n completa. Puedes encontrar el estudio completo aqu\u00ed: https:\/\/www.jmir.org\/2021\/4\/e26331 BIBLIOGRAF\u00cdA JMIR https:\/\/www.jmir.org\/2021\/4\/e26331<\/p>","protected":false},"author":1,"featured_media":13555,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[154,3394,3396],"tags":[145],"class_list":["post-13554","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-comunidades-conectadas","category-redes-sociales","category-uso-de-plataformas-digitales","tag-noticias"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/13554","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/comments?post=13554"}],"version-history":[{"count":0,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/posts\/13554\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media\/13555"}],"wp:attachment":[{"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/media?parent=13554"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/categories?post=13554"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/saluddigital.com\/en\/wp-json\/wp\/v2\/tags?post=13554"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}