|
|
|
|
윤영미 ( Yoon Young-Mi ) - Seoil University Department of Nursing
김성광 ( Kim Seong-Kwang ) - Gangneung-Wonju National University Department of Nursing
김혜경 ( Kim Hye-Kyeong ) - Gangneung Asan Hospital
김은주 ( Kim Eun-Joo ) - Gangneung-Wonju National University Department of Nursing
정윤의 ( Jeong Yun-Eui ) - Wehealed Inc.
|
|
Abstract
|
|
|
|
|
Purpose: The purpose of this study is to compare topics through keywords related to nurses in internet portals and social media Pre coronavirus disease (COVID-19) era and during the COVID-19 era.
Methods: For six months before and during the outbreak of COVID-19 in Korea, "nurse" was searched on the internet. For data collection, we implemented web crawlers in programming languages such as Python and collected keywords. The keywords collected were classified into three domains of topic Modeling.
Results: The keyword 'nurse' increased by 15% during COVID-19 era. Keywords that ranked high in Term Frequency - Inverse Document Frequency (TF-IDF) values were before COVID-19, such as "nurse" and "C-section". during COVID-19, however, they were not only "nurse" but also "emergency" and "gown" related to pandemics.
Conclusion: Various topics were being uploaded into the internet media. Nursing professionals should be interested in the text that is revealed in the internet media and try to continuously identify and improve problems.
|
|
|
KeyWords
|
|
간호사, 코로나바이러스감염증 19, 소셜미디어
Nurse, COVID-19, Social media
|
|
|
원문 및 링크아웃 정보
|
|
|
|
|
등재저널 정보
|
|
|
|
|
|
|