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How to Improve Compliance with Protective Health Measures during the COVID-19 Outbreak: Testing a Moderated Mediation Model and Machine Learning Algorithms.
Roma, Paolo; Monaro, Merylin; Muzi, Laura; Colasanti, Marco; Ricci, Eleonora; Biondi, Silvia; Napoli, Christian; Ferracuti, Stefano; Mazza, Cristina.
Afiliação
  • 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.
Int J Environ Res Public Health ; 17(19)2020 10 04.
Article em En | MEDLINE | ID: mdl-33020395
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Controle de Doenças Transmissíveis / Cooperação do Paciente / Infecções por Coronavirus / Pandemias / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pneumonia Viral / Controle de Doenças Transmissíveis / Cooperação do Paciente / Infecções por Coronavirus / Pandemias / Aprendizado de Máquina Tipo de estudo: Prognostic_studies Limite: Humans País como assunto: Europa Idioma: En Ano de publicação: 2020 Tipo de documento: Article