Your new experience awaits. Try the new design now and help us make it even better

RETRACTION article

Front. Public Health, 23 October 2025

Sec. Digital Public Health

Volume 13 - 2025 | https://doi.org/10.3389/fpubh.2025.1726542

Retraction: Facial mask detection using depthwise separable convolutional neural network model during COVID-19 pandemic

This article is a retraction of:

  1. RETRACTED: Facial Mask Detection Using Depthwise Separable Convolutional Neural Network Model During COVID-19 Pandemic

    1. Read original article
Frontiers Editorial Office Frontiers Editorial Office*

A Retraction of the Original Research Article
Facial mask detection using depthwise separable convolutional neural network model during COVID-19 pandemic

by Asghar, M. Z., Albogamy, F. R., Al-Rakhami, M. S., Asghar, J., Rahmat, M. K., Alam, M. M., Lajis, A., and Nasir, H. M. (2022). Front. Public Health 10:855254. doi: 10.3389/fpubh.2022.855254

The journal retracts the 07 March 2022 article cited above.

Following publication, the publisher has found evidence of peer review manipulation. As the scientific integrity of the article cannot be guaranteed and adhering to the recommendations of the Committee on Publication Ethics (COPE), the publisher therefore retracts the article. Please note that we have not confirmed whether all or any of the authors were aware of or involved in any form of misconduct or manipulation of the publication process.

This retraction was approved by the Chief Executive Editor of Frontiers. The authors received a communication regarding the retraction and had a chance to respond. This communication is recorded by the publisher.

Citation: Frontiers Editorial Office (2025) Retraction: Facial mask detection using depthwise separable convolutional neural network model during COVID-19 pandemic. Front. Public Health 13:1726542. doi: 10.3389/fpubh.2025.1726542

Received: 16 October 2025; Accepted: 16 October 2025;
Published: 23 October 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Frontiers Editorial Office. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Frontiers Editorial Office, cmVzZWFyY2guaW50ZWdyaXR5QGZyb250aWVyc2luLm9yZw==

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.