Trends in Nursing Research on Infections: Semantic Network Analysis and Topic Modeling

Jongsoon Won, Kyunghee Kim, Kyeong-Yae Sohng, Sung-Ok Chang, Seung-Kyo Chaung, Min-Jung Choi and Youngji Kim
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Jongsoon Won: College of Nursing, Eulji University, Seongnam-si 13135, Korea
Kyunghee Kim: Red Cross College of Nursing, Chung-Ang University, Seoul 06974, Korea
Kyeong-Yae Sohng: College of Nursing, The Catholic University of Korea, Seoul 06591, Korea
Sung-Ok Chang: College of Nursing, Korea University, Seoul 02841, Korea
Seung-Kyo Chaung: Department of Nursing, Semyung University, Jecheon-si 27136, Korea
Min-Jung Choi: College of Nursing, The Catholic University of Korea, Seoul 06591, Korea
Youngji Kim: College of Nursing and Health, Kongju National University, Gongju-si 32588, Korea

IJERPH, 2021, vol. 18, issue 13, 1-13

Abstract: Background: Many countries around the world are currently threatened by the COVID-19 pandemic, and nurses are facing increasing responsibilities and work demands related to infection control. To establish a developmental strategy for infection control, it is important to analyze, understand, or visualize the accumulated data gathered from research in the field of nursing. Methods: A total of 4854 articles published between 1978 and 2017 were retrieved from the Web of Science. Abstracts from these articles were extracted, and network analysis was conducted using the semantic network module. Results: ‘wound’, ‘injury’, ‘breast’, “dressing”, ‘temperature’, ‘drainage’, ‘diabetes’, ‘abscess’, and ‘cleaning’ were identified as the keywords with high values of degree centrality, betweenness centrality, and closeness centrality; hence, they were determined to be influential in the network. The major topics were ‘PLWH’ (people living with HIV), ‘pregnancy’, and ‘STI’ (sexually transmitted infection). Conclusions: Diverse infection research has been conducted on the topics of blood-borne infections, sexually transmitted infections, respiratory infections, urinary tract infections, and bacterial infections. STIs (including HIV), pregnancy, and bacterial infections have been the focus of particularly intense research by nursing researchers. More research on viral infections, urinary tract infections, immune topic, and hospital-acquired infections will be needed.

Keywords: infection; nurses; semantics; text mining; nursing (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
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