In this post, we present the current focus of the COVID-19 literature, based on publications registered in PubMed as published during December 2020. During this month, there were 7 148 publications, and 907 keywords occurred in five or more manuscripts. We used a higher resolution this month, 1.5, and then the keywords divided into 10 clusters. To create the map, we used the LinLog method.
In the table below, we have listed the 15 most central keywords in each cluster. The topic in each cluster seems to be:
- Cluster 1: Vaccines.
- Cluster 2: Health care delivery
- Cluster 3: Mental health issues
- Cluster 4: Treatment
- Cluster 5: Public health
- Cluster 6: Testing
- Cluster 7: Risk factors and mortality
- Cluster 8: Children and socioeconomic factors
- Cluster 9: Pregnancy
- Cluster 10: Demographic
To open the map directly in VOSviewer, please use the Keyword co-occurrence MAP and NET files from January 6th, available through the Open Science Foundation (OSF) repository: https://osf.io/54gqw/
| Cluster 1 | Occurrences |
| antiviral agents | 62 |
| inflammation | 84 |
| animals | 49 |
| sars | 66 |
| hydroxychloroquine | 58 |
| covid-19 vaccines | 42 |
| vaccine | 85 |
| angiotensin-converting enzyme 2 | 39 |
| spike glycoprotein, coronavirus | 33 |
| chloroquine | 26 |
| ace2 | 61 |
| cytokines | 31 |
| antibodies, monoclonal | 18 |
| lopinavir | 11 |
| ritonavir | 12 |
| Cluster 2 | Occurrences |
| united states | 77 |
| telemedicine | 157 |
| infection control | 60 |
| personal protective equipment | 66 |
| delivery of health care | 49 |
| united kingdom | 25 |
| health services accessibility | 31 |
| masks | 34 |
| singapore | 14 |
| emergency service, hospital | 25 |
| healthcare workers | 40 |
| mass screening | 20 |
| neoplasms | 20 |
| kidney failure, chronic | 12 |
| tertiary care centers | 16 |
| Cluster 3 | Occurrences |
| surveys and questionnaires | 113 |
| cross-sectional studies | 107 |
| mental health | 184 |
| anxiety | 137 |
| depression | 122 |
| health personnel | 78 |
| stress, psychological | 47 |
| health knowledge, attitudes, practice | 32 |
| mental disorders | 29 |
| exercise | 34 |
| students | 30 |
| stress | 53 |
| quality of life | 28 |
| social media | 38 |
| social isolation | 24 |
| Cluster 4 | Occurrences |
| treatment outcome | 47 |
| coronavirus infection | 72 |
| critical care | 62 |
| intensive care units | 47 |
| prospective studies | 35 |
| viral pneumonia | 41 |
| respiration, artificial | 25 |
| cohort studies | 25 |
| pneumonia | 60 |
| respiratory distress syndrome | 25 |
| case-control studies | 18 |
| critical illness | 19 |
| respiratory insufficiency | 20 |
| randomized controlled trials as topic | 18 |
| betacoronavirus | 17 |
| Cluster 5 | Occurrences |
| china | 123 |
| public health | 166 |
| quarantine | 86 |
| physical distancing | 64 |
| italy | 69 |
| communicable disease control | 68 |
| disease outbreaks | 63 |
| epidemiology | 81 |
| lockdown | 74 |
| infectious diseases | 83 |
| incidence | 37 |
| contact tracing | 41 |
| health policy | 56 |
| spain | 27 |
| france | 31 |
| Cluster 6 | Occurrences |
| covid-19 testing | 78 |
| time factors | 41 |
| tomography, x-ray computed | 40 |
| lung | 42 |
| antibodies, viral | 32 |
| rna, viral | 29 |
| asymptomatic infections | 25 |
| covid-19 nucleic acid testing | 25 |
| sensitivity and specificity | 29 |
| viral load | 17 |
| symptom assessment | 9 |
| reverse transcriptase polymerase chain reaction | 13 |
| algorithms | 14 |
| real time polymerase chain reaction | 32 |
| nasopharynx | 12 |
| Cluster 7 | Occurrences |
| retrospective studies | 130 |
| risk factor | 139 |
| hospitalization | 77 |
| comorbidity | 76 |
| severity of illness index | 59 |
| mortality | 112 |
| prognosis | 66 |
| hospital mortality | 30 |
| biomarkers | 44 |
| hypertension | 36 |
| risk assessment | 27 |
| logistic models | 15 |
| diabetes mellitus | 33 |
| follow-up | 19 |
| obesity | 38 |
| Cluster 8 | Occurrences |
| young adult | 165 |
| adolescent | 160 |
| children | 140 |
| child, preschool | 53 |
| infant | 65 |
| age factors | 34 |
| brazil | 43 |
| sex factors | 20 |
| socioeconomic factors | 21 |
| schools | 22 |
| hospitals | 23 |
| ethnic groups | 11 |
| health status disparities | 13 |
| parents | 16 |
| disease transmission, infectious | 12 |
| Cluster 9 | Occurrences |
| pregnancy | 51 |
| infection | 38 |
| pregnancy complications, infectious | 10 |
| pregnant women | 12 |
| mothers | 6 |
| alcohol drinking | 6 |
| cesarean section | 6 |
| new york | 5 |
| breastfeeding | 6 |
| vertical transmission | 9 |
| disability | 6 |
| antibody response | 5 |
| neutralizing antibodies | 5 |
| Cluster 10 | Occurrences |
| female | 544 |
| male | 531 |
| middle aged | 381 |
| adult | 392 |
| aged | 293 |
| aged, 80 and over | 137 |