Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
This study was aimed to identify knowledge structure and trends in severe COVID-19 risk factor using text network analysis. The 22,628 papers published during from January 2020 to December 2021. We analyzed and visualized using Text Rank analyzer and Gephi software. They were grouped into 5 central themes - biomedical factors, occupational environmental factors, demographic factors, health behavior factors, and complications. The emerging topics were identified to the chronological trends. This study can promote a systematic understanding of severe COVID-19 risk factors.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3233/SHTI231247 | DOI Listing |
Publication Analysis
Top Keywords
severe covid-19
12
covid-19 risk
12
knowledge structure
8
structure trends
8
trends severe
8
risk factors
8
text network
8
network analysis
8
factors
6
exploring knowledge
4