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[Analysis of research hotspot and frontier of severe coronavirus disease 2019: visual analysis based on CiteSpace].
Chen, Hongyan; Huang, Xiaoyi; Wei, Fengxiang; Li, Min; Liu, Liuhong; Yang, Ziqing; Chen, Siyi; Chen, Ken.
  • Chen H; School of Nursing, Guangdong Pharmaceutical University, Guangzhou 510000, Guangdong, China.
  • Huang X; School of Nursing, Guangdong Pharmaceutical University, Guangzhou 510000, Guangdong, China.
  • Wei F; Central Laboratory, Shenzhen Longgang District Maternity and Child Healthcare Hospital of Shenzhen City, Shenzhen 518172, Guangdong, China. Corresponding author: Chen Ken, Email: chenkenck@126.com.
  • Li M; School of Nursing, Guangdong Pharmaceutical University, Guangzhou 510000, Guangdong, China.
  • Liu L; School of Nursing, Guangdong Pharmaceutical University, Guangzhou 510000, Guangdong, China.
  • Yang Z; School of Nursing, Guangdong Pharmaceutical University, Guangzhou 510000, Guangdong, China.
  • Chen S; School of Nursing, Guangdong Pharmaceutical University, Guangzhou 510000, Guangdong, China.
  • Chen K; School of Nursing, Guangdong Pharmaceutical University, Guangzhou 510000, Guangdong, China.
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue ; 32(6): 671-676, 2020 Jun.
Article in Chinese | MEDLINE | ID: covidwho-655213
ABSTRACT

OBJECTIVE:

To analyze the research hotspot and frontier of severe coronavirus disease 2019 (COVID-19) in China and abroad.

METHODS:

The CiteSpace software was used to visually analyze the relevant research of severe COVID-19 published by CNKI and Web of Science databases from January 30th to April 20th in 2020. The analysis content included the author of the literature, the publishing institutions, and high-frequency keywords.

RESULTS:

There were 389 Chinese literatures and 59 English literatures included. Analysis using CiteSpace software showed that there were four large teams in China currently concerning about the research on severe COVID-19. The co-authoring of each team was relatively close, but the teams were lack of cooperation. The main issuing institutions were affiliated hospitals of colleges and universities, but colleges and enterprises had less participation. The authors of English-language publications mainly had five research teams, some of whom had co-authored relationships. The country with the most enormous volume of English-language publications was China, followed by the United States and Canada. The Chinese keyword co-occurrence, clustering and highlighted words analysis showed that the main research areas of severe COVID-19 included clinical features, traditional Chinese medicine treatment, medical imaging, integrated traditional Chinese and Western medicine treatment and so on; nucleic acid detection, clinical features and diagnosis, plague theory and etiology mechanism, traditional Chinese medicine and integrated Chinese and Western medicine treatment, severe COVID-19 combined with diabetes and prognosis research will become future research trends; keyword cluster analysis showed that severe COVID-19, combined chronic underlying diseases, CT imaging characteristics will also become new trends in the field of research. Co-occurrence analysis of keywords in English literatures showed that the main research areas of severe COVID-19 included the names of novel coronavirus, pandemic diseases, infectious diseases, medical supplies distribution, and indicators related to myocardial damage.

CONCLUSIONS:

Researchers in China and abroad have different concerns about severe COVID-19. Domestic research focuses on the diagnosis and treatment of severe cases, while foreign countries attach importance to epidemic response and prevention.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Etiology study / Prognostic study Topics: Traditional medicine Limits: Humans Country/Region as subject: North America / Asia Language: Chinese Journal: Zhonghua Wei Zhong Bing Ji Jiu Yi Xue Year: 2020 Document Type: Article Affiliation country: Cma.j.cn121430-20200514-00384

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Pneumonia, Viral / Coronavirus Infections / Pandemics / Betacoronavirus Type of study: Etiology study / Prognostic study Topics: Traditional medicine Limits: Humans Country/Region as subject: North America / Asia Language: Chinese Journal: Zhonghua Wei Zhong Bing Ji Jiu Yi Xue Year: 2020 Document Type: Article Affiliation country: Cma.j.cn121430-20200514-00384