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This paper is in the following e-collection/theme issue:

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1176) Infectious Diseases (non-STD/STI) (1770) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1547) Outbreak and Pandemic Preparedness and Management (1856) JMIR Theme Issue: COVID-19 Special Issue (2571)

Published on in Vol 8, No 5 (2022): May

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/35958, first published .
Ambulances and medical personnel in hazmat suits at a COVID-19 testing site in Busan, South Korea.

Korea's Response to COVID-19 According to Set Time Frames, With a Focus on the Network Between the Government and Responding Agencies: Social Network Analysis

Korea's Response to COVID-19 According to Set Time Frames, With a Focus on the Network Between the Government and Responding Agencies: Social Network Analysis

Authors of this article:

Jungyun Cho1 Author Orcid Image ;   Wook Kang1 Author Orcid Image ;   Julak Lee2 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Zhang Y, Zhu S. A systematic review of enhancing urban disaster resilience for smart cities: from a perspective of social network analysis. International Journal of Public Health 2026;71 View

Conference Proceedings

  1. Kang Y, Ou R. 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, Scalable Computing & Communications, Digital Twin, Privacy Computing, Metaverse, Autonomous & Trusted Vehicles (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta). Multi-Entity Government Policy Networks: Modelling and Characteristic Mining View