Searching for social characteristics and policy measures for each stage of the corona spread in Korea
Social network analysis and systems thinking
Bibliographic Data
| ID | 15798562 |
|---|---|
| Authors | Young-Chool Choi (0009-0009-6770-9333, Chungbuk National University, corresponding author) |
| Year | 2022 |
| Pages | 3564-3582 |
| Publication date | 2022-04-06 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Health Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2550-696X • E-ISSN: 2550-6978 |
| Publisher | Universidad Tecnica de Manabi (PUBLISHER • EC) |
| DOI | 10.53730/ijhs.v6ns1.5503 |
| OpenAlex | W4226109708 |
| Language | EN |
| References cited | 9 |
This study analysed the social situation in Korea caused by the Corona pandemic, as shown in YouTube videos between January 2020 when the Corona pandemic began in Korea and December 2021, about two years later, along with its characteristics. The aim of the study was to derive lessons for future quarantine policies. First, the two-year period was divided into three phases in consideration of trends in the number of Corona patients. Then, for each period, YouTube videos created during this period were analysed using text network analysis and the system dynamics analysis method, both of which represent a kind of big data analysis method. This analysis method is new, and is highly significant in terms of research methodology. In addition, the analysis results provide important policy implications. One important policy meaning is the derivation of the reinforcing loop and balancing loop that policymakers should consider for each period
Corona (planetary geology · Coronavirus disease 2019 (COVID-19 · Meaning (existential · Pandemic · Period (music · Physics · Political science · Quarantine · Stage (stratigraphy · Computational and Text Analysis Methods · COVID-19 Pandemic Impacts · History · Medicine · Psychology · Technology and Data Analysis
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| Highly cited | No |
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