Resolution of Expression of Concern: Utilizing Graph Theory Algorithms for the Modeling and Analysis of COVID-19 Infection Dynamics

Abstract

Resolution of Expression of Concern regarding for: Utilizing Graph Theory Algorithms for the Modeling and Analysis of COVID-19 Infection Dynamics (I. . Adamopoulos, A. . Valamontes, N. . Syrou, J. . Adamopoulou, & A. . Bardavouras , Trans.). (2025). Mesopotamian Journal of Artificial Intelligence in Healthcare, 2025, 1-11.

https://doi.org/10.58496/MJAIH/2025/001

DOI of this Notice: https://doi.org/10.58496/MJAIH/2026/014

Original Article: https://doi.org/10.58496/MJAIH/2025/001

Expression of Concern:  https://doi.org/10.58496/MJAIH/2026/002

Following the publication of the article, Utilizing Graph Theory Algorithms for the Modeling and Analysis of COVID-19 Infection Dynamics

Published 2025-01-11 an Expression of Concern was issued by the Mesopotamian Journal of Artificial Intelligence in Healthcare on 2026-03-05 to alert our readers to concerns regarding methodology, data provenance, and reported outcomes to confirm their reliability and reproducibility

The editorial team of the Mesopotamian Journal of Artificial Intelligence in Healthcare has completed a thorough post-publication review of the article, the supporting data, and the authors' responses to the queries raised.

Upon careful assessment, we have determined that the concerns have been addressed and clarified to the satisfaction of the editors. We have found no evidence of misconduct or invalidity in the research. The findings presented in the original article are considered robust and accurate.

This notice formally resolves the previously published Expression of Concern. The original article stands as published, and we affirm the integrity of the research.

The Mesopotamian Journal of Artificial Intelligence in Healthcare thanks the readers who brought these matters to our attention, as well as the authors for their cooperation during the review process.