In this week’s update, we are presenting something slightly different; the current focus of the COVID-19 literature, based on publications registered in PubMed as published during week 35-37 (August 24th-September 13th). This resulted in 8144 publications. There were 687 keywords that occurred in five or more manuscripts. These divided into four main clusters. To create the map, we used the LinLog method. The minimum cluster size was set to 15.
Table of the most central keywords in each cluster
(Centrality measure used is weighted degree centrality/total link strength)
| Cluster 1 | Cluster 2 | Cluster 3 | Cluster 4 |
| public health | treatment outcome | pandemic | male |
| mental health | antiviral agents | coronavirus infection | female |
| telemedicine | pneumonia | viral pneumonia | middle aged |
| anxiety | time factors | betacoronavirus | adult |
| epidemiology | sars | brazil | aged |
| covid‐19 | mortality | clinical laboratory techniques | china |
| depression | hydroxychloroquine | personal protective equipment | risk factor |
| infectious diseases | respiration, artificial | united states | adolescent |
| epidemic | inflammation | health personnel | young adult |
| quarantine | host microbial interactions | pregnancy | children |
| lockdown | ace2 | infection control | retrospective studies |
| stress | cytokines | lung | aged, 80 and over |
| global health | infection | nephrology | severity of illness index |
| prevalence | randomized controlled trials as topic | australia | cross-sectional studies |
| india | stroke | masks | surveys and questionnaires |
To open the map directly in VOSviewer, please use the “KeywordCoOccurrance5Inst1Resol1_20200914FocusAug24thToSep13th” MAP and NET files, available through the Open Science Foundation (OSF) repository:
https://osf.io/54gqw/