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Surging COVID-19 in Bangladesh driven by B.1.351 variant

Brum, E.; Saha, S.; Sania, A.; Tanmoy, A. M.; Hooda, Y.; Tanni, A.; Goswami, S.; Sium, S. M. A.; Sajib, M. S. I.; Malaker, R.; Islam, S.; Sarker, N.; Saha, S. K.; Chowdhury, S.; Haddou, Y.; Ferguson, E. A.; Kundegorski, M.; Purno, N.; Tasneem, M.; Arifeen, S. E.; Alamgir, A. S. M.; Chowdhury, A.; Hampson, K.

2021-04-29 public and global health
10.1101/2021.04.27.21255706 medRxiv
Show abstract

A dramatic resurgence of COVID-19 cases and deaths in Bangladesh in March 2021 coincided with the SARS-CoV-2 B.1.351 (501Y.V2) variant of concern rapidly becoming the dominant circulating variant. Concurrently, increasing numbers of reinfections have been detected and the effective Reproductive number, Rt, has doubled, despite high levels of prior infection in Dhaka city. These data support the prediction that acquired immunity from past infection provides reduced protection against B.1.351, and highlights the major public health concern posed by immune escape variants, especially in populations where vaccination coverage remains low.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
New England Journal of Medicine
● 52 papers in training set
Top 0.1%
14.7%
Similar papers in this journal
2
The Journal of Infectious Diseases
◐ 202 papers in training set
Top 0.1%
11.6%
Similar papers in this journal
3
Emerging Infectious Diseases
● 105 papers in training set
Top 0.2%
6.6%
Similar papers in this journal
4
Clinical Infectious Diseases
◐ 235 papers in training set
Top 0.4%
6.6%
Similar papers in this journal
5
The Lancet Infectious Diseases
○ 73 papers in training set
Top 0.2%
4.7%
Similar papers in this journal
6
Nature Communications
○ 5641 papers in training set
Top 31%
4.2%
7
The American Journal of Tropical Medicine and Hygiene
● 68 papers in training set
Top 0.2%
4.2%
50% of probability mass above
8
Nature Microbiology
○ 155 papers in training set
Top 0.9%
3.9%
9
BMJ Open
● 601 papers in training set
Top 6%
3.4%
10
The Lancet Regional Health - Western Pacific
○ 15 papers in training set
Top 0.1%
3.4%
11
The Lancet Microbe
○ 44 papers in training set
Top 0.2%
3.1%
12
eClinicalMedicine
○ 77 papers in training set
Top 0.6%
2.4%
13
International Journal of Infectious Diseases
○ 129 papers in training set
Top 1.0%
2.3%
14
Nature Medicine
○ 125 papers in training set
Top 1%
2.3%
15
The Lancet
○ 16 papers in training set
Top 0.1%
2.1%
16
BMJ Global Health
● 113 papers in training set
Top 2%
1.7%
17
BMC Medicine
○ 176 papers in training set
Top 4%
1.1%
18
Scientific Reports
○ 3612 papers in training set
Top 65%
1.1%
19
JAMA Network Open
● 130 papers in training set
Top 3%
1.0%
20
eBioMedicine
○ 183 papers in training set
Top 5%
1.0%
21
Vaccines
○ 198 papers in training set
Top 3%
0.9%
22
Emerging Microbes & Infections
○ 74 papers in training set
Top 1%
0.9%
23
The Lancet Regional Health - Europe
○ 33 papers in training set
Top 0.6%
0.8%
24
COVID
○ 14 papers in training set
Top 0.5%
0.8%
25
Frontiers in Public Health
○ 148 papers in training set
Top 7%
0.6%
26
Science Advances
● 1243 papers in training set
Top 34%
0.6%
27
PLOS ONE
● 5266 papers in training set
Top 63%
0.6%
28
eLife
● 5828 papers in training set
Top 71%
0.6%

"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.