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Tracking Self-Reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study
From the Abstract: "Harnessing health-related data posted on social media in real time can offer insights into how the pandemic impacts the mental health and general well-being of individuals and populations over time. [...] This study aimed to obtain information on symptoms and medical conditions self-reported by non-Twitter social media users during the COVID-19 [coronavirus disease 2019] pandemic, to determine how discussion of these symptoms and medical conditions changed over time, and to identify correlations between frequency of the top 5 commonly mentioned symptoms post and daily COVID-19 statistics (new cases, new deaths, new active cases, and new recovered cases) in the United States."
JMIR Publications
Ding, Qinglan; Massey, Daisy; Huang, Chenxi . . .
2021-09-28
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