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Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning

Predictors of Cyberchondria During the COVID-19 Pandemic: Cross-sectional Study Using Supervised Machine Learning

According to Starcevic et al [14], the COVID-19 context is likely to have contributed to the occurrence of cyberchondria or exacerbated it for several reasons: (1) there is a heightened perception of threat and the accompanying fear due to a recently identified and poorly understood disease; (2) uncertainty concerning the pandemic and the effectiveness of various mitigating measures (eg, lockdowns and vaccination) undermines attempts to cope with the situation; (3) the paucity of authoritative, trustworthy,

Alexandre Infanti, Vladan Starcevic, Adriano Schimmenti, Yasser Khazaal, Laurent Karila, Alessandro Giardina, Maèva Flayelle, Seyedeh Boshra Hedayatzadeh Razavi, Stéphanie Baggio, Claus Vögele, Joël Billieux

JMIR Form Res 2023;7:e42206