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Isolation and characterization of SARS-CoV-2 VOC, 20H/501Y.V2, from UAE travelers

Yadav, P.; Sarkale, P.; Razdan, A.; Gupta, N.; Nyayanit, D.; Sahay, R.; Potdar, V.; Patil, D.; Baradkar, S.; Kumar, A.; Aggarwal, N.; Shete, A.; Kaur, H.

2021-05-14 microbiology
10.1101/2021.05.14.443968 bioRxiv
Show abstract

Multiple SARS-CoV-2 variants have been emerged and created serious public health in the affected countries. The variant of Concern associated with high transmissibility, disease severity and escape mutations is threat to vaccination program across the globe. Travel has been important factor in spread of SARS-CoV-2 variants worldwide. India has also witnessed the dreadful effect of these SARS-CoV-2 variants. Here, we report the Isolation and characterization of SARS-CoV-2 VOC, 20H/501Y.V2 (B.1.351), from UAE travelers to India. The virus isolate would be useful to determine the efficacy of the currently available vaccines in India.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
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Top 16%
11.8%
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Top 0.2%
3.1%
9
International Journal of Infectious Diseases
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2.4%
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Journal of General Virology
● 53 papers in training set
Top 0.3%
2.4%
50% of probability mass above
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2.4%
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2.1%
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Top 0.2%
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1.9%
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Top 0.5%
1.7%
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Top 0.6%
1.7%
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1.5%
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JMIRx Med
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Top 1%
1.5%
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Top 0.8%
1.4%
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Top 2%
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Top 2%
1.1%
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Top 6%
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26
The Journal of Infectious Diseases
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Top 3%
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27
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Top 8%
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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.