| 1 | May | 1.85% | |
| 2 | Etienne-Emile | 1.85% | |
| 3 | Baulieu | 1.85% | |
| 4 | Heres | 0.93% | |
| 5 | Karnataka | 0.93% | |
| 6 | Coronavirus | 0.93% | |
| 7 | BMC | 0.93% | |
| 8 | Upended | 0.93% | |
| 9 | Influenza | 0.93% | |
| 10 | Covid-19 | 0.93% | |
| 11 | Life. | 0.93% | |
| 12 | Hot | 0.93% | |
| 13 | Burden | 0.93% | |
| 14 | Bodybuilder | 0.93% | |
| 15 | Study | 0.93% | |
| 16 | Outbreak | 0.93% | |
| 17 | Depression | 0.93% | |
| 18 | Kerala | 0.93% | |
| 19 | Maharashtra | 0.93% | |
| 20 | Medical | 0.93% | |
| 21 | Night | 0.93% | |
| 22 | Isn’t | 0.93% | |
| 23 | Infectious | 0.93% | |
| 24 | Sickens | 0.93% | |
| 25 | Super | 0.93% | |
| 26 | Condition | 0.93% | |
| 27 | N.J. | 0.93% | |
| 28 | Greater | 0.93% | |
| 29 | Just | 0.93% | |
| 30 | TikTok? | 0.93% | |
| 31 | Vegas | 0.93% | |
| 32 | Junk | 0.93% | |
| 33 | Rapidly | 0.93% | |
| 34 | Got | 0.93% | |
| 35 | Hear. | 0.93% | |
| 36 | Barcelona | 0.93% | |
| 37 | Versace | 0.93% | |
| 38 | ‘Reset | 0.93% | |
| 39 | Shocking | 0.93% | |
| 40 | Receptors | 0.93% | |
| 41 | Cucumbers | 0.93% | |
| 42 | Who | 0.93% | |
| 43 | Up. | 0.93% | |
| 44 | Balance | 0.93% | |
| 45 | MRI | 0.93% | |
| 46 | Reports | 0.93% | |
| 47 | Cheated | 0.93% | |
| 48 | Moderna | 0.93% | |
| 49 | India | 0.93% | |
| 50 | COVID-19 | 0.93% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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How huge health funding cuts in Washington 'put lives at risk' in communities
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