Table 3.
The top 20 keywords in terms of frequency for COVID-19 research in English and Chinese [n (%)].
| Rank | English keywords | N (471, %) | Chinese keywords | N (1,234, %) |
|---|---|---|---|---|
| 1 | SARS-CoV-2 | 93 (19.7) | COVID-19 | 543 (44.0) |
| 2 | COVID-19 | 44 (9.3) | SARS-CoV-2 | 381 (30.9) |
| 3 | China | 36 (7.6) | Prevention and control | 141 (11.4) |
| 4 | SARS | 22 (4.8) | Traditional Chinese Medicine | 140 (11.3) |
| 5 | Epidemic | 17 (3.6) | Computed tomography | 35 (2.8) |
| 6 | Adult | 15 (3.2) | Epidemic | 29 (2.4) |
| 7 | Psychological | 15 (3.2) | Public health | 24 (1.9) |
| 8 | Nucleic acids | 12 (2.5) | MERS | 21 (1.7) |
| 9 | Plague | 11 (2.3) | Pneumonia | 21 (1.7) |
| 10 | Infection | 11 (2.3) | Male | 20 (1.6) |
| 11 | Child | 8 (1.7) | Wuhan | 19 (1.6) |
| 12 | Antiviral drugs | 8 (1.7) | Endogenous compound | 18 (1.5) |
| 13 | Nursing | 8 (1.7) | Female | 18 (1.5) |
| 14 | Therapeutics | 6 (1.3) | Phylogeny | 15 (1.5) |
| 15 | Diagnosis | 5 (1.1) | Outbreak | 14 (1.2) |
| 16 | MERS | 5 (1.1) | Communicable disease | 13 (1.1) |
| 17 | Clinical feature | 5 (1.1) | Fever | 13 (1.1) |
| 18 | Nurses | 4 (0.9) | Travel | 13 (1.1) |
| 19 | Amino acid | 4 (0.9) | Traditional Chinese Medicine therapy |
13 (1.1) |
| 20 | Angiotensin | 4 (0.9) | Cladistics | 9 (0.9) |