| 1 | China | 3.45% | |
| 2 | COVID | 2.87% | |
| 3 | County | 2.87% | |
| 4 | Covid | 2.87% | |
| 5 | Monkeypox | 2.87% | |
| 6 | New | 2.3% | |
| 7 | Heres | 1.72% | |
| 8 | Quarantine | 1.72% | |
| 9 | Langya | 1.72% | |
| 10 | Georgia | 1.72% | |
| 11 | London | 1.15% | |
| 12 | Park | 1.15% | |
| 13 | Chicagos | 1.15% | |
| 14 | Study | 1.15% | |
| 15 | Abrams | 1.15% | |
| 16 | Sacramento | 1.15% | |
| 17 | Top | 1.15% | |
| 18 | Doc | 1.15% | |
| 19 | Guidelines | 1.15% | |
| 20 | Stacey | 1.15% | |
| 21 | Coronavirus | 0.57% | |
| 22 | Strategy | 0.57% | |
| 23 | What | 0.57% | |
| 24 | Down | 0.57% | |
| 25 | Yet | 0.57% | |
| 26 | Cause | 0.57% | |
| 27 | Stretch | 0.57% | |
| 28 | Vaccine | 0.57% | |
| 29 | CDC | 0.57% | |
| 30 | Australia | 0.57% | |
| 31 | Spread | 0.57% | |
| 32 | White | 0.57% | |
| 33 | Hunch | 0.57% | |
| 34 | Rapid | 0.57% | |
| 35 | Warns | 0.57% | |
| 36 | COVID-19? | 0.57% | |
| 37 | Outbreak | 0.57% | |
| 38 | Online | 0.57% | |
| 39 | MIT | 0.57% | |
| 40 | Contact | 0.57% | |
| 41 | Gain? | 0.57% | |
| 42 | Tibet | 0.57% | |
| 43 | Woman | 0.57% | |
| 44 | Polk | 0.57% | |
| 45 | National | 0.57% | |
| 46 | Chinas | 0.57% | |
| 47 | Are | 0.57% | |
| 48 | Stanley | 0.57% | |
| 49 | Tennessee | 0.57% | |
| 50 | Things | 0.57% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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