Evidence map›Paper›PMID 38540525›Full record

ReviewBehavioral sciences (Basel, Switzerland)2024

Review on Panic Buying Behavior during Pandemics: Influencing Factors, Stockpiling, and Intervention Strategies.

Reza Jazemi, Sajede Farahani, Wilkistar Otieno, Jaejin Jang

Abstract readReview
In one paragraph

Review in Behavioral sciences (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Reza JazemiDepartment of Industrial & Manufacturing Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.ORCID 0009-0007-5570-8566
Sajede FarahaniDepartment of Industrial & Manufacturing Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Wilkistar OtienoDepartment of Industrial & Manufacturing Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.
Jaejin JangDepartment of Industrial & Manufacturing Engineering, University of Wisconsin-Milwaukee, Milwaukee, WI 53211, USA.ORCID 0000-0002-4777-3997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Panic buying poses significant challenges for individuals and societies. This paper provides a literature review on the process by which a pandemic crisis evolves into panic buying behavior. The review offers a comprehensive perspective on studies related to panic buying and mitigation efforts, categorizing them based on their contributions in three stages: factors influencing panic buying, the process of transforming panic into increased demand and stockpiling, and applicable intervention strategies to mitigate panic situations. The paper introduces the Socio-Economic Framework of Panic (SEFP) to illustrate the interaction between demand and supply during a panic. The review identifies a lack of quantitative models explicitly correlating influencing factors with panic and estimating panic demand. Additionally, it reveals that suggested intervention strategies often lack practical implementation guidelines. Using the SEFP, the importance of considering interventions at various stages is highlighted, ranging from controlling influencing factors and panic demands to overseeing stockpiling and supply-related activities. The paper also identifies research gaps in both qualitative and quantitative modeling, policymaking, and governance.

Indexed as

influencing factorintervention strategypanicpanic buyingSocio-Economic Framework of Panic (SEFP)stockpiling

Identifiers

PMID38540525
PMCPMC10967731

What OpenQuestion holds

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Registered trials

None linked

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.