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

Alexandre Infanti   ¹ , MSc ;   Vladan Starcevic   ^{2, 3} , MD, PhD ;   Adriano Schimmenti   ⁴ , PhD ;   Yasser Khazaal   ^{5, 6, 7} , MD ;   Laurent Karila   ⁸ , MD, PhD ;   Alessandro Giardina   ⁹ , MSc ;   Maèva Flayelle   ⁹ , PhD ;   Seyedeh Boshra Hedayatzadeh Razavi   ⁹ , MSc ;   Stéphanie Baggio   ^{10, 11} , PhD ;   Claus Vögele   ¹ , PhD ;   Joël Billieux   ^{5, 9} , PhD

¹ Department of Behavioural and Cognitive Sciences, University of Luxembourg, Esch-sur-Alzette, Luxembourg

² Department of Psychiatry, Nepean Hospital, Penrith, Australia

³ Discipline of Psychiatry, Faculty of Medicine and Health, Sydney Medical School Nepean Clinical School, University of Sydney, Sydney, Australia

⁴ Faculty of Human and Social Sciences, Kore University of Enna, Enna, Italy

⁵ Addiction Medicine, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland

⁶ Department of Psychiatry and Addictology, University of Montreal, Montreal, QC, Canada

⁷ Department of Psychiatry, Lausanne University, Lausanne, Switzerland

⁸ Centre d'Enseignement, de Recherche et de Traitement des Addictions, Hôpital Universitaire Paul Brousse, Université Paris-Saclay, Villejuif, France

⁹ Institute of Psychology, University of Lausanne, Lausanne, Switzerland

¹⁰ Division of Prison Health, Geneva University Hospitals and University of Geneva, Thônex, Switzerland

¹¹ Institute of Primary Health Care, University of Bern, Bern, Switzerland