Back

A projection model of COVID-19 pandemic for Belgium

Ruzhansky, M.; Tokmagambetov, N.; Torebek, B.

2020-06-03 health informatics
10.1101/2020.05.31.20118406 medRxiv
Show abstract

We consider a simple model for the COVID-19 pandemic to analyse the relative effectiveness of several stages of the lockdown in Belgium, as well as of several phases of its relaxation. We also make a future projection of different types of measures relative to different stages of the already experienced lockdown.

Matching journals

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

1
PLOS ONE
● 5266 papers in training set
Top 19%
9.6%
Similar papers in this journal
2
Physica A: Statistical Mechanics and its Applications
○ 13 papers in training set
Top 0.1%
9.6%
Similar papers in this journal
3
Scientific Reports
○ 3612 papers in training set
Top 7%
7.8%
Similar papers in this journal
4
Mathematics
○ 11 papers in training set
Top 0.1%
7.2%
Similar papers in this journal
5
Mathematical Biosciences
○ 49 papers in training set
Top 0.1%
7.2%
Similar papers in this journal
6
Chaos, Solitons & Fractals
○ 32 papers in training set
Top 0.1%
6.7%
7
Mathematical Biosciences and Engineering
● 23 papers in training set
Top 0.1%
5.5%
50% of probability mass above
8
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
● 15 papers in training set
Top 0.1%
5.5%
9
Royal Society Open Science
● 214 papers in training set
Top 0.9%
4.3%
10
Frontiers in Public Health
○ 148 papers in training set
Top 1%
4.0%
11
Frontiers in Applied Mathematics and Statistics
○ 11 papers in training set
Top 0.1%
3.4%
12
JMIR Public Health and Surveillance
◐ 45 papers in training set
Top 0.2%
3.1%
13
International Journal of Environmental Research and Public Health
○ 128 papers in training set
Top 2%
2.4%
14
BMC Medical Informatics and Decision Making
○ 43 papers in training set
Top 1%
1.5%
15
Frontiers in Artificial Intelligence
○ 20 papers in training set
Top 0.3%
1.4%
16
The European Physical Journal Plus
○ 13 papers in training set
Top 0.2%
1.1%
17
Expert Systems with Applications
○ 11 papers in training set
Top 0.3%
1.1%
18
Nature Communications
○ 5641 papers in training set
Top 51%
1.1%
19
Life
○ 29 papers in training set
Top 0.5%
1.1%
20
IEEE Access
● 35 papers in training set
Top 1%
1.0%
21
PLOS Global Public Health
● 344 papers in training set
Top 8%
0.8%
22
Medical Decision Making
○ 12 papers in training set
Top 0.5%
0.6%
23
BMC Infectious Diseases
○ 133 papers in training set
Top 5%
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.