Abstract
COMMENTARY Int J Public Health, 08 April 2021 https://doi.org/10.3389/ijph.2021.633451
Highlights
The COVID-19 pandemic has profound mental health consequences [1]
Researchers have identified and monitored signs of mental illness reflected in social media data including stress, loneliness, depression, or post-traumatic stress [4]
Sentiment analysis of content posted on popular social media platforms, combined with detection of spatiotemporal disease incidence changes could provide decision makers and public health experts with critical information to supplement traditional epidemiological data sources, and to inform the implementation of targeted mental health interventions [5,6,7]
Summary
The COVID-19 pandemic has profound mental health consequences [1]. Yet, opportunities to monitor and mitigate mental health problems in this context remain scarce [2]. Researchers have identified and monitored signs of mental illness reflected in social media data including stress, loneliness, depression, or post-traumatic stress [4]. Part of a growing field called digital epidemiology, could help identify populations in need of mental health support during the current pandemic.
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