Evidence map›Paper›PMID 35173227›Full record

ArticleScientific reports2022

Effectiveness of wireless emergency alerts for social distancing against COVID-19 in Korea.

Dahye Yeon, Myunghwan Kwak, Ji-Bum Chung

Abstract readEvaluation Study
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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Dahye YeonSchool of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-Gil 50, Ulsan, 689-798, Republic of Korea.
Myunghwan KwakSchool of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-Gil 50, Ulsan, 689-798, Republic of Korea.
Ji-Bum ChungSchool of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-Gil 50, Ulsan, 689-798, Republic of Korea. learning@unist.ac.kr.

Funding

Ministry of Interior and Safety 2021-MOIS36-002
6 · The paper itself

Abstract

This study aimed to evaluate the effectiveness of wireless emergency alerts (WEAs) on social distancing policy. The Republic of Korea has been providing information to the public through WEAs using mobile phones. This study used five data sets: WEA messages, news articles including the keyword "COVID-19," the number of confirmed COVID-19 patients, public foot traffic data, and the government's social distancing level. The WEAs were classified into two topics-"warning" and "guidance"-using a random forest model. The results of the correlation analysis and further detailed analysis confirmed that the "warning" WEA topic and number of news articles significantly affected public foot traffic. However, the "guidance" topic was not significantly associated with public foot traffic. In general, the Korean government's WEAs were effective at encouraging the public to follow social distance recommendations during the COVID-19 pandemic. In particular, the "warning" WEA topic, by providing information about the relative risk directly concerning the recipients, was significantly more effective than the "guidance" topic.

Indexed as

Cell PhonePhysical DistancingCOVID-19Disease NotificationHumansMass MediaPublic Health PracticeRepublic of Korea

Identifiers

PMID35173227
PMCPMC8850604

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.