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Behavior-Aware COVID-19 Forecasting Using Markov SIR Models on Dynamic Contact Networks: An Observational Modeling Study

Dadashkarimi, M.

2025-08-05 infectious diseases
10.1101/2025.08.03.25332886 medRxiv
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Withdrawal StatementThe author have withdrawn this manuscript because we discover errors in experimental design that affect the integrity of results. Therefore, the author do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

Matching journals

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

1
PLOS ONE
● 5266 papers in training set
Top 8%
19.2%
Similar papers in this journal
2
PLOS Computational Biology
● 1863 papers in training set
Top 4%
8.2%
Similar papers in this journal
3
Scientific Reports
○ 3612 papers in training set
Top 6%
8.2%
Similar papers in this journal
4
Journal of The Royal Society Interface
● 235 papers in training set
Top 0.5%
6.5%
Similar papers in this journal
5
Royal Society Open Science
● 214 papers in training set
Top 0.4%
5.7%
Similar papers in this journal
6
Mathematical Biosciences and Engineering
● 23 papers in training set
Top 0.2%
4.5%
50% of probability mass above
7
Epidemics
○ 116 papers in training set
Top 0.8%
2.7%
8
Bulletin of Mathematical Biology
○ 92 papers in training set
Top 0.6%
2.5%
9
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
● 12 papers in training set
Top 0.1%
1.7%
10
Physical Review E
● 112 papers in training set
Top 0.8%
1.5%
11
BMC Infectious Diseases
○ 133 papers in training set
Top 3%
1.4%
12
Statistics in Medicine
○ 40 papers in training set
Top 0.4%
1.2%
13
Chaos, Solitons & Fractals
○ 32 papers in training set
Top 0.6%
1.2%
14
Infectious Disease Modelling
○ 54 papers in training set
Top 0.9%
1.2%
15
Mathematical Biosciences
○ 49 papers in training set
Top 0.8%
1.2%
16
PLOS Global Public Health
● 344 papers in training set
Top 7%
1.1%
17
PLOS Digital Health
● 106 papers in training set
Top 4%
1.1%
18
Biology Methods and Protocols
◐ 61 papers in training set
Top 2%
1.0%
19
Epidemiology and Infection
◐ 89 papers in training set
Top 2%
0.9%
20
Journal of Theoretical Biology
○ 162 papers in training set
Top 2%
0.9%
21
Emerging Infectious Diseases
● 105 papers in training set
Top 2%
0.9%
22
F1000Research
○ 88 papers in training set
Top 3%
0.9%
23
JAMIA Open
◐ 42 papers in training set
Top 1%
0.9%
24
Medical Decision Making
○ 12 papers in training set
Top 0.3%
0.9%
25
JMIR Public Health and Surveillance
◐ 45 papers in training set
Top 2%
0.6%
26
International Journal of Infectious Diseases
○ 129 papers in training set
Top 3%
0.6%
27
BMJ Open
● 601 papers in training set
Top 13%
0.6%
28
Chaos: An Interdisciplinary Journal of Nonlinear Science
● 17 papers in training set
Top 0.3%
0.6%
29
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
● 15 papers in training set
Top 0.3%
0.6%
30
Nature Computational Science
○ 55 papers in training set
Top 2%
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.