How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms.

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Title: How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms.
Authors: Roma P; Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy., Monaro M; Department of General Psychology, University of Padova, 35131 Padova, Italy., Muzi L; Department of Dynamic and Clinical Psychology, Sapienza University of Rome, 00185 Rome, Italy., Colasanti M; Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy., Ricci E; Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy., Biondi S; Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy., Napoli C; Department of Medical Surgical Science and Translational Medicine, Sapienza University of Rome, 00189 Rome, Italy., Ferracuti S; Department of Human Neuroscience, Sapienza University of Rome, 00185 Rome, Italy., Mazza C; Department of Neuroscience, Imaging and Clinical Sciences, University 'G.d'Annunzio', 66100 Chieti-Pescara, Italy.
Source: International journal of environmental research and public health [Int J Environ Res Public Health] 2020 Oct 04; Vol. 17 (19). Date of Electronic Publication: 2020 Oct 04.
Publication Type: Journal Article
Journal Info: Publisher: MDPI Country of Publication: Switzerland NLM ID: 101238455 Publication Model: Electronic Cited Medium: Internet ISSN: 1660-4601 (Electronic) Linking ISSN: 16604601 NLM ISO Abbreviation: Int J Environ Res Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1660-4601
DOI:10.3390/ijerph17197252