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Declining Trend in the Initial SARS-CoV-2 Viral Load During the Pandemic: Preliminary Observations from Detroit, Michigan

El Zein, S.; Chehab, O.; El-Hor, N.; Alkassis, S.; Mishra, T.; Trivedi, V.; Salimnia, H.; Chandrasekar, P.

2020-11-18 infectious diseases Community evaluation
10.1101/2020.11.16.20231597 medRxiv
Show abstract

We report a downward trend in the initial SARS-CoV-2 viral load in nasopharyngeal swab samples of hospitalized patients with COVID-19 in Detroit, Michigan, coinciding with a decrease in the number of deaths during April-June 2020. A gradual decrease in the initial viral load reflected the downward progression of the pandemic.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
PLOS ONE
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Top 14%
12.9%
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2
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7.8%
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3
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Top 0.5%
4.3%
8
Journal of Clinical Virology
○ 63 papers in training set
Top 0.1%
4.3%
50% of probability mass above
9
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● 469 papers in training set
Top 4%
4.0%
10
Journal of Clinical Virology Plus
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Top 0.1%
3.4%
11
Cureus
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Top 2%
2.6%
12
Access Microbiology
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Top 0.1%
2.4%
13
Frontiers in Medicine
○ 120 papers in training set
Top 1%
2.4%
14
International Journal of Infectious Diseases
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Top 1%
2.1%
15
Scientific Reports
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Top 49%
1.9%
16
Journal of Infection and Chemotherapy
○ 18 papers in training set
Top 0.1%
1.7%
17
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○ 56 papers in training set
Top 0.7%
1.5%
18
Microorganisms
○ 106 papers in training set
Top 2%
1.4%
19
Diagnostic Microbiology and Infectious Disease
○ 22 papers in training set
Top 0.2%
1.3%
20
Archives of Clinical and Biomedical Research
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Top 0.8%
1.1%
21
Epidemiology and Infection
◐ 89 papers in training set
Top 2%
1.1%
22
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Top 0.6%
1.0%
23
Frontiers in Cellular and Infection Microbiology
○ 109 papers in training set
Top 3%
0.9%
24
Vaccines
○ 198 papers in training set
Top 3%
0.8%
25
Heliyon
○ 152 papers in training set
Top 8%
0.8%
26
BMJ Open
● 601 papers in training set
Top 12%
0.8%
27
Journal of Virological Methods
○ 37 papers in training set
Top 0.5%
0.6%
28
Frontiers in Pediatrics
○ 32 papers in training set
Top 1%
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29
Virology Journal
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Top 1.0%
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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.