ABSTRACT

Tracking Self-Reported Symptoms and Medical Conditions on Social Media During the COVID-19 Pandemic: Infodemiological Study   [open pdf - 724KB]

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."

Author:
Publisher:
Date:
2021-09-28
Series:
Copyright:
2021 Qinglan Ding, Daisy Massey, Chenxi Huang, Connor B Grady, Yuan Lu, Alina Cohen, Pini Matzner, Shiwani Mahajan, César Caraballo, Navin Kumar, Yuchen Xue, Rachel Dreyer, Brita Roy, Harlan M Krumholz. Posted here with permission. Document is under a Creative Commons license and requires proper attribution and noncommercial use to be shared: [https://creativecommons.org/licenses/by/4.0/]
Retrieved From:
Public Health and Surveillance: https://publichealth.jmir.org/
Format:
pdf
Media Type:
application/pdf
Source:
JMIR Public Health and Surveillance (2021), v.7 iss.9
URL:
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