Machine learning models to identify significant factors of panic buying situation.

Md Shahriare Satu, Md Mahmudul Hasan Riyad, Tahani Jaser Alahmadi, Touhid Bhuiyan, Mohammad Ali Moni

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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Authors and funding

5 authors.

Md Shahriare SatuDepartment of Management Information Systems, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh. shahriarsetu.mis@nstu.edu.bd.

Md Mahmudul Hasan RiyadDepartment of Applied Mathematics, Noakhali Science and Technology University, Noakhali, 3814, Bangladesh.

Tahani Jaser AlahmadiDepartment of Information Systems, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, Saudi Arabia.

Touhid BhuiyanSchool of IT, Washington University of Science and Technology, Alexandria, VA, USA.

Mohammad Ali MoniAI & Digital Health Technology, Rural Health Research Institute, Charles Sturt University, Orange, NSW, 2795, Australia. mmoni@csu.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In panic-buying situations, individuals suddenly purchase excessive quantities of goods, leading to a massive crisis of essential goods in the market. As a result, many consumers cannot access the required products, creating an unstable societal situation. Despite the importance of this issue, only limited research has focused on providing automated solutions for detecting panic-buying behavior. This work proposes a machine learning-based model to predict panic-buying behavior, evaluate the outcomes of classifiers, interpret the classification results, and identify relevant factors for this situation. In this work, we collected customer purchasing records of COVID-19 from a public repository

Indexed as

Consumer BehaviorCOVID-19Machine LearningPanicAlgorithmsHumansSARS-CoV-2ClassificationData balancingFeature selectionMachine learningPanic-buying

Identifiers

PMID41053232

DOI10.1038/s41598-025-18222-4

PMCPMC12501091

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.