Evidence map›Paper›PMID 41786799›Full record

ArticleScientific data2026

A Nationwide Social Contact Survey Dataset for Public Health and Social Sciences Research in South Korea.

Min-Kyung Chae, Woo-Sik Son, Kyeongah Nah, Minsoo Kim, Jong-Hoon Kim, Jonggul Lee

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Min-Kyung ChaeResearch team for transmission dynamics of infectious diseases, National Institute for Mathematical Sciences, 70, Yuseong-daero 1689 beon-gil, Yuseong-gu, 34047, Daejeon, Republic of Korea.
Woo-Sik SonResearch team for transmission dynamics of infectious diseases, National Institute for Mathematical Sciences, 70, Yuseong-daero 1689 beon-gil, Yuseong-gu, 34047, Daejeon, Republic of Korea.
Kyeongah NahBusan Center for Medical Mathematics, National Institute for Mathematical Sciences, 179, Gudeok-ro, Seo-gu, 49241, Busan, Republic of Korea.
Minsoo KimDepartment of Electronics Communications Engineering, National Korea Maritime & Ocean University, 727 Taejong-ro, Yeongdo-gu, Busan, 49112, Republic of Korea.
Jong-Hoon KimEpidemiology, Public Health, Impact, International Vaccine Institute, 1 Gwanak-ro, Gwanak-gu, Seoul, 08826, Republic of Korea.ORCID http://orcid.org/0000-0002-9717-4044
Jonggul LeeResearch team for transmission dynamics of infectious diseases, National Institute for Mathematical Sciences, 70, Yuseong-daero 1689 beon-gil, Yuseong-gu, 34047, Daejeon, Republic of Korea. jlee@nims.re.kr.ORCID http://orcid.org/0000-0002-5771-3015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Social contact data underpin research across public health, social and behavioral sciences, and network analysis, as interpersonal interactions shape population dynamics and societal outcomes. In South Korea, previous social contact surveys have been limited by small samples and restricted accessibility, often necessitating reliance on synthetic data from international studies. To address this gap, we conducted a large-scale national contact survey during winter 2023-24. A total of 2,415 individuals were recruited across age groups and regions, resulting in a final sample of 1,987 participants. The survey captured daily close contact behaviors during weekdays, weekends, school vacations, and holidays, along with demographic and contextual details. This study emphasizes transparency by documenting the entire process-from survey design to rigorous data cleaning and validation. The dataset provides comprehensive evidence on post-pandemic contact patterns in South Korea and supports applications in infectious disease modeling, public health policy analysis, and social network research. By sharing the methodology and dataset, we aim to establish a reproducible framework for future social contact surveys in South Korea and beyond.

Indexed as

Public HealthHumansRepublic of KoreaSocial SciencesSurveys and Questionnaires

Identifiers

PMID41786799
PMCPMC13079890

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.