Corpus downloaded from PubMed June 8th: 19426 publications. There were 1814 keywords that occurred in four or more manuscripts. These divided into five main clusters. To create the map, we used the LinLog method.

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 Cluster 5
pneumonia coronavirus infection sars female mental health
epidemiology viral pneumonia animals male surveys and questionnaires
outbreak pandemic antiviral agents adult anxiety
zoonosis betacoronavirus peptidyl-dipeptidase a middle aged depression
viruses china hydroxychloroquine aged cross-sectional studies
telemedicine disease outbreaks spike glycoprotein, coronavirus clinical laboratory techniques knowledge
infection public health genome, viral children fear
infectious diseases infection control chloroquine young adult stress
mortality quarantine viral vaccines tomography, x-ray computed social support
treatment travel antibodies, viral adolescent emotions
wuhan epidemic phylogeny lung medical staff
respiratory infections global health ace2 retrospective studies psychological distress
transmission italy clinical trials as topic risk factor nursing homes
prevention united states chiroptera fever anxiety disorders
diagnosis personal protective equipment inflammation aged, 80 and over health status
novel coronavirus pneumonia health personnel cardiovascular diseases infant quality of life
safety time factors middle east respiratory syndrome coronavirus cough asian continental ancestry group
telehealth practice guidelines as topic mers child, preschool sleep
influenza critical care cytokines comorbidity pharmacists
virology contact tracing receptors, virus pregnancy resilience, psychological

Cluster description in progress

To open the map directly in VOSviewer, please use these two files.
KeywordCoOccurrance4Inst1Resol1_20200608NET
KeywordCoOccurrance4Inst1Resol1_20200608MAP

The maps are created with the following “thesaurus” to clean the data:
Thesaurus20200601