Samuel Greiff

Professor of Educational Monitoring & Effectiveness

Predictors of self-protecting behaviors during the early wave of the COVID-19 pandemic. A machine learning approach


Journal article


A. Taye, L. Borga, C. Vögele, S. Greiff, C. D’Ambrosio
Scientific Reports, vol. 13, 2023, p. 6121


Cite

Cite

APA   Click to copy
Taye, A., Borga, L., Vögele, C., Greiff, S., & D’Ambrosio, C. (2023). Predictors of self-protecting behaviors during the early wave of the COVID-19 pandemic. A machine learning approach. Scientific Reports, 13, 6121. https://doi.org/10.1038/s41598-023-33033-1


Chicago/Turabian   Click to copy
Taye, A., L. Borga, C. Vögele, S. Greiff, and C. D’Ambrosio. “Predictors of Self-Protecting Behaviors during the Early Wave of the COVID-19 Pandemic. A Machine Learning Approach.” Scientific Reports 13 (2023): 6121.


MLA   Click to copy
Taye, A., et al. “Predictors of Self-Protecting Behaviors during the Early Wave of the COVID-19 Pandemic. A Machine Learning Approach.” Scientific Reports, vol. 13, 2023, p. 6121, doi:10.1038/s41598-023-33033-1.


BibTeX   Click to copy

@article{taye2023a,
  title = {Predictors of self-protecting behaviors during the early wave of the COVID-19 pandemic. A machine learning approach},
  year = {2023},
  journal = {Scientific Reports},
  pages = {6121},
  volume = {13},
  doi = {10.1038/s41598-023-33033-1},
  author = {Taye, A. and Borga, L. and Vögele, C. and Greiff, S. and D’Ambrosio, C.}
}