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Detection of SARS-CoV-2 Omicron, Delta, Alpha and Gamma variants using a rapid antigen test

Salcedo, N.; Nandu, N.; Boucau, J.; Herrera, B. B.

2022-01-28 public and global health
10.1101/2022.01.27.22269299 medRxiv
Show abstract

Throughout the coronavirus disease 2019 (COVID-19) pandemic, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants have emerged with different infection and disease dynamics. Testing strategies, including clinical diagnosis, surveillance, and screening, have been deployed to help limit the spread of SARS-CoV-2 variants. Rapid antigen tests, in particular, have been approved for self-testing in many countries and governments are supporting their manufacturing and distribution. However, studies demonstrating the accuracy of rapid antigen tests in detecting SARS-CoV-2 variants, especially the new Omicron variant, are limited. We determined the analytical sensitivity of a CE-marked rapid antigen test against the Omicron, Delta, Alpha and Gamma variants. The rapid antigen test had the most sensitive limit of detection (10 plaque forming units [PFU]/mL) when tested with the Alpha and Gamma variants, followed by the Omicron (100 PFU/mL) and Delta (1,000 PFU/mL) variants. Given the increasing numbers of breakthrough infections and the need to surveil infectiousness, rapid antigen tests are effective public health tools to detect SARS-CoV-2 variants.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of Clinical Microbiology
● 130 papers in training set
Top 0.1%
18.6%
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● 469 papers in training set
Top 0.5%
12.7%
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3
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Top 0.8%
5.6%
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4
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○ 50 papers in training set
Top 0.3%
5.6%
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5
International Journal of Infectious Diseases
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Top 0.2%
5.5%
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6
PLOS ONE
● 5266 papers in training set
Top 32%
4.1%
50% of probability mass above
7
The Journal of Infectious Diseases
◐ 202 papers in training set
Top 0.9%
3.5%
8
The American Journal of Tropical Medicine and Hygiene
● 68 papers in training set
Top 0.3%
3.3%
9
Scientific Reports
○ 3612 papers in training set
Top 32%
3.2%
10
Emerging Infectious Diseases
● 105 papers in training set
Top 0.4%
3.2%
11
Clinical Infectious Diseases
◐ 235 papers in training set
Top 1.0%
3.2%
12
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○ 198 papers in training set
Top 2%
1.9%
13
eBioMedicine
○ 183 papers in training set
Top 3%
1.7%
14
Heliyon
○ 152 papers in training set
Top 4%
1.5%
15
The Lancet Microbe
○ 44 papers in training set
Top 0.5%
1.3%
16
Journal of Medical Virology
○ 140 papers in training set
Top 2%
1.3%
17
Frontiers in Public Health
○ 148 papers in training set
Top 4%
1.3%
18
Influenza and Other Respiratory Viruses
○ 46 papers in training set
Top 0.5%
1.1%
19
Nature Communications
○ 5641 papers in training set
Top 50%
1.1%
20
mSphere
● 302 papers in training set
Top 5%
1.1%
21
Infection
○ 15 papers in training set
Top 0.1%
1.0%
22
Frontiers in Medicine
○ 120 papers in training set
Top 3%
0.9%
23
Open Forum Infectious Diseases
◐ 142 papers in training set
Top 3%
0.8%
24
Emerging Microbes & Infections
○ 74 papers in training set
Top 1%
0.8%
25
Analytical Chemistry
● 218 papers in training set
Top 2%
0.8%
26
iScience
○ 1154 papers in training set
Top 40%
0.6%
27
Virology Journal
○ 32 papers in training set
Top 0.9%
0.6%
28
Frontiers in Cellular and Infection Microbiology
○ 109 papers in training set
Top 4%
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.