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A Mobile App Leveraging Citizenship Engagement to Perform Anonymized Longitudinal Studies in the Context of COVID-19 Adverse Drug Reaction Monitoring: Development and Usability Study.
Di Filippo, Marzia; Avellone, Alessandro; Belingheri, Michael; Paladino, Maria Emilia; Riva, Michele Augusto; Zambon, Antonella; Pescini, Dario.
Affiliation
  • Di Filippo M; Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
  • Avellone A; Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
  • Belingheri M; School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
  • Paladino ME; School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
  • Riva MA; School of Medicine and Surgery, University of Milano-Bicocca, Monza, Italy.
  • Zambon A; Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
  • Pescini D; Department of Statistics and Quantitative Methods, University of Milano-Bicocca, Milan, Italy.
JMIR Hum Factors ; 9(4): e38701, 2022 Nov 04.
Article in En | MEDLINE | ID: mdl-35930561
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies Language: En Journal: JMIR Hum Factors Year: 2022 Document type: Article Affiliation country: Italia Country of publication: Canadá
Fulltext
Add to My VHL
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Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Observational_studies / Prognostic_studies Language: En Journal: JMIR Hum Factors Year: 2022 Document type: Article Affiliation country: Italia Country of publication: Canadá