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About:
Self-reported COVID-19 symptoms on Twitter: An analysis and a research resource
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An Entity of Type :
schema:ScholarlyArticle
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covidontheweb.inria.fr
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Academic Article
research paper
schema:ScholarlyArticle
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
title
Self-reported COVID-19 symptoms on Twitter: An analysis and a research resource
Creator
Sarker, Abeed
Al-Garadi, Mohammed
Lakamana, Sahithi
Xie, Angel
Yang, Yuan-Chi
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source
MedRxiv
abstract
Objective To mine Twitter to quantitatively analyze COVID-19 symptoms self-reported by users, compare symptom distributions against clinical studies, and create a symptom lexicon for the research community. Materials and methods We retrieved tweets using COVID-19-related keywords, and performed several layers of semi-automatic filtering to curate self-reports of positive-tested users. We extracted COVID-19-related symptoms mentioned by the users, mapped them to standard IDs, and compared the distributions with multiple studies conducted in clinical settings. Results We identified 203 positive-tested users who reported 932 symptoms using 598 unique expressions. The most frequently-reported symptoms were fever/pyrexia (65%), cough (56%), body aches/pain (40%), headache (35%), fatigue (35%), and dyspnea (34%) amongst users who reported at least 1 symptom. Mild symptoms, such as anosmia (26%) and ageusia (24%) were frequently reported on Twitter, but not in clinical studies. Conclusion The spectrum of COVID-19 symptoms identified from Twitter may complement those identified in clinical settings.
has issue date
2020-04-22
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bibo:doi
10.1101/2020.04.16.20067421
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medrxiv
sha1sum (hex)
b66e677361bbaaf41fdfd14851d9aa684d97df47
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https://doi.org/10.1101/2020.04.16.20067421
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Self-reported COVID-19 symptoms on Twitter: An analysis and a research resource
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covid:b66e677361bbaaf41fdfd14851d9aa684d97df47#body_text
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named entity 'lexicon'
named entity 'Corresponding'
named entity 'U.S.'
named entity 'social media'
named entity 'outbreak of the coronavirus'
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