| 1 | COVID-19 | 2.72% | |
| 2 | New | 1.95% | |
| 3 | Health | 1.56% | |
| 4 | CDC | 1.17% | |
| 5 | Public | 1.17% | |
| 6 | Covid | 1.17% | |
| 7 | Chicago | 0.78% | |
| 8 | Trade | 0.78% | |
| 9 | Texas | 0.78% | |
| 10 | Utah | 0.78% | |
| 11 | University | 0.78% | |
| 12 | Former | 0.78% | |
| 13 | Vaccine | 0.78% | |
| 14 | Covid-19 | 0.78% | |
| 15 | Houston | 0.78% | |
| 16 | BMC | 0.78% | |
| 17 | COVID | 0.78% | |
| 18 | Pandemic | 0.78% | |
| 19 | Thailand | 0.78% | |
| 20 | May | 0.78% | |
| 21 | Countries | 0.78% | |
| 22 | Linked | 0.78% | |
| 23 | Trump | 0.78% | |
| 24 | Us | 0.78% | |
| 25 | QA | 0.78% | |
| 26 | Moonhouse | 0.39% | |
| 27 | Here’s | 0.39% | |
| 28 | Rangers | 0.39% | |
| 29 | Boosts | 0.39% | |
| 30 | Map | 0.39% | |
| 31 | Hiltzik | 0.39% | |
| 32 | Bad | 0.39% | |
| 33 | Highest | 0.39% | |
| 34 | France | 0.39% | |
| 35 | Brain-Eating | 0.39% | |
| 36 | MHA | 0.39% | |
| 37 | Reveals | 0.39% | |
| 38 | Tell | 0.39% | |
| 39 | Degeneration | 0.39% | |
| 40 | Deaths | 0.39% | |
| 41 | Guillain-Barre | 0.39% | |
| 42 | Arteries | 0.39% | |
| 43 | Mare | 0.39% | |
| 44 | Bat | 0.39% | |
| 45 | Their | 0.39% | |
| 46 | Risk | 0.39% | |
| 47 | Honolulu | 0.39% | |
| 48 | June | 0.39% | |
| 49 | Waste | 0.39% | |
| 50 | Boost | 0.39% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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