Related Experiment Video
Updated: May 24, 2025

Setup of Consumer Wearable Devices for Exposure and Health Monitoring in Population Studies
Published on: February 3, 2023
Social contact patterns in South Korea: an analysis of a survey conducted in 2023-2024
Woo-Sik Son1, Min-Kyung Chae1, Dong-Uk Hwang1
1Research 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.
Background:
Understanding social contact patterns is fundamental to the study of infectious disease transmission. However, in South Korea, detailed social contact data have not been publicly available. While global research on social contact patterns has expanded, there remains a critical need for more context-specific data in South Korea.
Methods:
We conducted a social contact survey over two distinct weeks covering various time periods, including school vacations and national holidays. Participants provided details such as the location, duration, frequency, and type of close contact, as well as information on the contact person's age, sex, residential area and relationship with the participant. We analyzed the data using summary statistics and the Bayesian linear mixed model.
Results:
A total of 1,987 participants recorded 133,776 contacts over two weeks, averaging 4.81 contacts per participant per day. The average number of contacts per day varied by age, household size, and time period. Contacts were highest in the age group 5-19, lowest in the age group 20-29, and then gradually increased up to the age group 70+. Contacts also increased with household size. Weekdays during the school semester showed the highest number of contacts, followed by weekdays during vacations, the Lunar New Year holidays, and weekends. Contact patterns differed notably by period; during the Lunar New Year holidays, closed contacts with extended family members and, therefore, subnational social mixing were enhanced.
Conclusion:
Our analyses across different time periods revealed significant and some unique variations of social contact patterns in South Korea. These findings can improve our understanding of infectious disease transmission in South Korea and will be useful for tailoring regional epidemiological models.
Related Concept Videos
Cross-Sectional Research
Surveys
Factorial Design
Statistical Methods for Analyzing Epidemiological Data
Applications of Life Tables
Types of Surveys

