Evidence map›Paper›PMID 36266321›Full record

ArticleScientific reports2022

Do open data impact citizens' behavior? Assessing face mask panic buying behaviors during the Covid-19 pandemic.

Yuya Shibuya, Chun-Ming Lai, Andrea Hamm, Soichiro Takagi, Yoshihide Sekimoto

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
7.5field-weighted citation impact, top 3% of its field
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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
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

5 authors at 3 institutions in 3 countries.

Yuya ShibuyaCenter for Spatial Information Science, The University of Tokyo, Tokyo, Japan. yuya-shibuya@csis.u-tokyo.ac.jp.
Chun-Ming LaiDepartment of Computer Science, Tunghai University, Taichung City, Taiwan.
Andrea HammDepartment for Electrical Engineering and Computer Science, Technical University Berlin, Berlin, Germany.
Soichiro TakagiInterfaculty Initiative in Information Studies, The University of Tokyo, Tokyo, Japan.
Yoshihide SekimotoCenter for Spatial Information Science, The University of Tokyo, Tokyo, Japan.
The University of Tokyo · JPTechnische Universität Berlin · DETunghai University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data are essential for digital solutions and supporting citizens' everyday behavior. Open data initiatives have expanded worldwide in the last decades, yet investigating the actual usage of open data and evaluating their impacts are insufficient. Thus, in this paper, we examine an exemplary use case of open data during the early stage of the Covid-19 pandemic and assess its impacts on citizens. Based on quasi-experimental methods, the study found that publishing local stores' real-time face mask stock levels as open data may have influenced people's purchase behaviors. Results indicate a reduced panic buying behavior as a consequence of the openly accessible information in the form of an online mask map. Furthermore, the results also suggested that such open-data-based countermeasures did not equally impact every citizen and rather varied among socioeconomic conditions, in particular the education level.

Indexed as

COVID-19HumansMasksPandemicsPanic

Identifiers

PMID36266321
PMCPMC9584957
OpenAlexW4306940716

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.