A machine learning approach to predict self-protecting behaviors during the early wave of the COVID-19 pandemic
Crossref DOI link: https://doi.org/10.1038/s41598-023-33033-1
Published Online: 2023-04-14
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Taye, Alemayehu D.
Borga, Liyousew G.
Greiff, Samuel
Vögele, Claus
D’Ambrosio, Conchita
Text and Data Mining valid from 2023-04-14
Version of Record valid from 2023-04-14
Article History
Received: 6 October 2022
Accepted: 6 April 2023
First Online: 14 April 2023
Competing interests
: The authors declare no competing interests.