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Logistic Formula in Biology and Its Application to COVID-19 in Japan

Saito, T.; Kokado, A.

2021-03-29 epidemiology
10.1101/2021.03.24.21254279 medRxiv
Show abstract

A logistic formula in biology is applied, as the first principle, to analyze the second and third waves of COVID-19 in Japan.

Matching journals

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

1
Chaos, Solitons & Fractals
○ 32 papers in training set
Top 0.1%
7.9%
Similar papers in this journal
2
PLOS ONE
● 5266 papers in training set
Top 21%
7.9%
Similar papers in this journal
3
Infectious Disease Modelling
○ 54 papers in training set
Top 0.2%
6.7%
Similar papers in this journal
4
Nonlinear Dynamics
○ 10 papers in training set
Top 0.1%
5.5%
Similar papers in this journal
5
Frontiers in Applied Mathematics and Statistics
○ 11 papers in training set
Top 0.1%
4.8%
Similar papers in this journal
6
Scientific Reports
○ 3612 papers in training set
Top 22%
4.4%
7
Journal of Theoretical Biology
○ 162 papers in training set
Top 0.8%
4.0%
8
The European Physical Journal Plus
○ 13 papers in training set
Top 0.1%
4.0%
9
Mathematical Biosciences
○ 49 papers in training set
Top 0.3%
3.4%
10
Physical Review E
● 112 papers in training set
Top 0.5%
3.2%
50% of probability mass above
11
Royal Society Open Science
● 214 papers in training set
Top 1%
3.2%
12
Mathematical Biosciences and Engineering
● 23 papers in training set
Top 0.3%
3.2%
13
Frontiers in Physics
○ 21 papers in training set
Top 0.1%
2.4%
14
Epidemiology and Infection
◐ 89 papers in training set
Top 0.8%
2.4%
15
Physical Biology
○ 46 papers in training set
Top 0.3%
2.0%
16
Bulletin of Mathematical Biology
○ 92 papers in training set
Top 0.8%
1.7%
17
PLOS Computational Biology
● 1863 papers in training set
Top 14%
1.7%
18
Mathematics
○ 11 papers in training set
Top 0.1%
1.4%
19
Physical Review Research
● 49 papers in training set
Top 0.5%
1.3%
20
Journal of The Royal Society Interface
● 235 papers in training set
Top 3%
1.1%
21
F1000Research
○ 88 papers in training set
Top 3%
1.1%
22
Chaos: An Interdisciplinary Journal of Nonlinear Science
● 17 papers in training set
Top 0.2%
1.0%
23
Biology
○ 45 papers in training set
Top 0.5%
1.0%
24
Applied Sciences
○ 25 papers in training set
Top 0.6%
1.0%
25
Computer Methods in Biomechanics and Biomedical Engineering
○ 10 papers in training set
Top 0.2%
1.0%
26
SoftwareX
○ 15 papers in training set
Top 0.3%
0.8%
27
Frontiers in Artificial Intelligence
○ 20 papers in training set
Top 0.7%
0.8%
28
Biomechanics and Modeling in Mechanobiology
○ 29 papers in training set
Top 0.4%
0.8%
29
Heliyon
○ 152 papers in training set
Top 8%
0.8%
30
Entropy
○ 21 papers in training set
Top 0.4%
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.