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Viral Mutations As A Possible Mechanism Of Hidden Immunization And Containment Of A Pandemia

Dimaschko, J.; Podolsky, V.

2020-04-14 epidemiology
10.1101/2020.04.09.20059782 medRxiv
Show abstract

An impact of viral mutations on the extent of an epidemic is examined. A mechanism of immunization of the population via spread of weakly mutated strain as a natural factor terminating the epidemic is indicated. An epidemic model which details this mechanism is proposed.

Matching journals

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

1
Scientific Reports
○ 3612 papers in training set
Top 4%
9.7%
Similar papers in this journal
2
Physical Review E
● 112 papers in training set
Top 0.1%
9.7%
Similar papers in this journal
3
The European Physical Journal Plus
○ 13 papers in training set
Top 0.1%
8.9%
Similar papers in this journal
4
PLOS ONE
● 5266 papers in training set
Top 21%
7.8%
Similar papers in this journal
5
Physical Review Research
● 49 papers in training set
Top 0.2%
4.3%
6
Frontiers in Physics
○ 21 papers in training set
Top 0.1%
4.3%
7
Journal of Theoretical Biology
○ 162 papers in training set
Top 0.7%
4.3%
8
Nonlinear Dynamics
○ 10 papers in training set
Top 0.1%
4.3%
Similar papers in this journal
50% of probability mass above
9
Mathematical Biosciences
○ 49 papers in training set
Top 0.2%
4.3%
10
Physical Biology
○ 46 papers in training set
Top 0.1%
4.0%
11
Chaos, Solitons & Fractals
○ 32 papers in training set
Top 0.2%
3.2%
12
Journal of The Royal Society Interface
● 235 papers in training set
Top 1%
3.2%
13
Royal Society Open Science
● 214 papers in training set
Top 3%
2.1%
14
Chaos: An Interdisciplinary Journal of Nonlinear Science
● 17 papers in training set
Top 0.1%
1.7%
15
Infectious Disease Modelling
○ 54 papers in training set
Top 0.8%
1.7%
16
Epidemiology and Infection
◐ 89 papers in training set
Top 1%
1.5%
17
Philosophical Transactions of the Royal Society B: Biological Sciences
● 72 papers in training set
Top 0.7%
1.3%
18
Entropy
○ 21 papers in training set
Top 0.2%
1.1%
19
Frontiers in Applied Mathematics and Statistics
○ 11 papers in training set
Top 0.3%
1.1%
20
Physica A: Statistical Mechanics and its Applications
○ 13 papers in training set
Top 0.2%
1.1%
21
PLOS Computational Biology
● 1863 papers in training set
Top 18%
1.0%
22
Viruses
○ 332 papers in training set
Top 4%
1.0%
23
Bulletin of Mathematical Biology
○ 92 papers in training set
Top 1%
0.9%
24
Biology
○ 45 papers in training set
Top 0.9%
0.8%
25
Biosystems
○ 31 papers in training set
Top 0.6%
0.8%
26
Journal of Medical Virology
○ 140 papers in training set
Top 3%
0.6%
27
Journal of Clinical Medicine
○ 97 papers in training set
Top 5%
0.6%
28
Life
○ 29 papers in training set
Top 1%
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.