1 | India | 7.69% | |
2 | COVID-19 | 5.13% | |
3 | Karnataka | 2.56% | |
4 | Sequelae | 2.56% | |
5 | Teen | 2.56% | |
6 | Covid-19 | 2.56% | |
7 | Study | 2.56% | |
8 | Hospital | 2.56% | |
9 | Command | 2.56% | |
10 | Northern | 2.56% | |
11 | Airport | 2.56% | |
12 | Outcomes | 2.56% | |
13 | mRNA | 2.56% | |
14 | Doesn’t | 2.56% | |
15 | Vaccine’ | 2.56% | |
16 | Assam | 2.56% | |
17 | Secondary | 2.56% | |
18 | AI | 2.56% | |
19 | ‘Blood | 2.56% | |
20 | TikTok | 2.56% | |
21 | Sweet | 2.56% | |
22 | Cupping | 2.56% | |
23 | Care | 2.56% | |
24 | Remove | 2.56% | |
25 | Effects | 2.56% | |
26 | Bangladeshs | 2.56% | |
27 | Long-Term | 2.56% | |
28 | Fitts | 2.56% | |
29 | Pulmonary | 2.56% | |
30 | Angeles | 2.56% | |
31 | Richard | 2.56% | |
32 | US | 2.56% | |
33 | Post-acute | 2.56% | |
34 | South | 2.56% | |
35 | ICU | 2.56% | |
36 | Chattogram | 2.56% | |
는 분류, 데이터 기준으로 의 기사에서 의 고유명사 데이터를 통해 생성되었습니다.
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