| 1 | New | 6.06% | |
| 2 | COVID-19 | 6.06% | |
| 3 | Cases | 6.06% | |
| 4 | Maharashtra; | 3.03% | |
| 5 | Persistent | 3.03% | |
| 6 | Immune | 3.03% | |
| 7 | Gujarat | 3.03% | |
| 8 | Highest | 3.03% | |
| 9 | Maharashtras | 3.03% | |
| 10 | Breathing | 3.03% | |
| 11 | Cross | 3.03% | |
| 12 | Study | 3.03% | |
| 13 | Mumbai | 3.03% | |
| 14 | Nellore | 3.03% | |
| 15 | Links | 3.03% | |
| 16 | Breaking | 3.03% | |
| 17 | Mark; | 3.03% | |
| 18 | Salmonella | 3.03% | |
| 19 | Pune | 3.03% | |
| 20 | DMHO | 3.03% | |
| 21 | Issues | 3.03% | |
| 22 | Americas | 3.03% | |
| 23 | Forecast | 3.03% | |
| 24 | Logs | 3.03% | |
| 25 | System | 3.03% | |
| 26 | Record | 3.03% | |
| 27 | ME | 3.03% | |
| 28 | News | 3.03% | |
| 29 | Changes | 3.03% | |
| 30 | Covid | 3.03% | |
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는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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