Next Article in Journal
Explainable Domain Adaptation Learning Framework for Credit Scoring in Internet Finance Through Adversarial Transfer Learning and Ensemble Fusion Model
Previous Article in Journal
Enhancing Wildfire Detection via Trend Estimation Under Auto-Regression Errors
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Mathematics
Volume 13
Issue 7
10.3390/math13071047
mathematics-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
Correction to Mathematics 2022, 10(3), 467.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Correction

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

by
Amerah Alabrah
1,
Husam M. Alawadh
2,
Ofonime Dominic Okon
3,
Talha Meraj
4,* and
Hafiz Tayyab Rauf
5,*
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
5
Independent Researcher, Bradford BD8 0HS, UK
*
Authors to whom correspondence should be addressed.
Mathematics 2025, 13(7), 1047; https://doi.org/10.3390/math13071047
Submission received: 13 March 2025 / Accepted: 19 March 2025 / Published: 24 March 2025
Versions Notes
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]
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Alabrah, A.; Alawadh, H.M.; Okon, O.D.; Meraj, T.; Rauf, H.T. Correction: Alabrah et al. Gulf Countries’ Citizens’ Acceptance of COVID-19 Vaccines—A Machine Learning Approach. Mathematics 2022, 10, 467. Mathematics 2025, 13, 1047. https://doi.org/10.3390/math13071047

AMA Style

Alabrah A, Alawadh HM, Okon OD, Meraj T, Rauf HT. Correction: Alabrah et al. Gulf Countries’ Citizens’ Acceptance of COVID-19 Vaccines—A Machine Learning Approach. Mathematics 2022, 10, 467. Mathematics. 2025; 13(7):1047. https://doi.org/10.3390/math13071047

Chicago/Turabian Style

Alabrah, Amerah, Husam M. Alawadh, Ofonime Dominic Okon, Talha Meraj, and Hafiz Tayyab Rauf. 2025. "Correction: Alabrah et al. Gulf Countries’ Citizens’ Acceptance of COVID-19 Vaccines—A Machine Learning Approach. Mathematics 2022, 10, 467" Mathematics 13, no. 7: 1047. https://doi.org/10.3390/math13071047

APA Style

Alabrah, A., Alawadh, H. M., Okon, O. D., Meraj, T., & Rauf, H. T. (2025). Correction: Alabrah et al. Gulf Countries’ Citizens’ Acceptance of COVID-19 Vaccines—A Machine Learning Approach. Mathematics 2022, 10, 467. Mathematics, 13(7), 1047. https://doi.org/10.3390/math13071047

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop