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Mathematics
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  • Open Access

24 March 2025

Correction: Alabrah et al. Gulf Countries’ Citizens’ Acceptance of COVID-19 Vaccines—A Machine Learning Approach. Mathematics 2022, 10, 467

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1
Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11451, Saudi Arabia
2
Department of English Language and Translation, College of Languages and Translation, King Saud University, Riyadh 11451, Saudi Arabia
3
Department of Electrical/Electronics & Computer Engineering, Faculty of Engineering, University of Uyo, Uyo 520103, Nigeria
4
Department of Computer Science, COMSATS University Islamabad—Wah Campus, Wah Cantt 47040, Pakistan
Affiliation Revision
In the original publication [1], there was an error regarding the affiliation for Hafiz Tayyab Rauf. The original affiliation of Centre for Smart Systems, AI and Cybersecurity, Staffordshire University, Stoke-on-Trent ST4 2DE, UK; h.rauf4@bradford.ac.uk was updated to Independent Researcher, Bradford BD8 0HS, UK; hafiztayyabrauf093@gmail.com.
Addition of a Corresponding Author
Talha Meraj was not included as a corresponding author in the original publication. Due to the change of the original corresponding author institution to an independent research, Talha Meraj was added as the corresponding author after discussion with the authors at the request of the Editor-in-Chief.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Alabrah, A.; Alawadh, H.M.; Okon, O.D.; Meraj, T.; Rauf, H.T. Gulf Countries’ Citizens’ Acceptance of COVID-19 Vaccines—A Machine Learning Approach. Mathematics 2022, 10, 467. [Google Scholar] [CrossRef]
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