Back
Structural Entropy of Daily Number of COVID-19 Related Fatalities
Unlu, E.
2020-10-31
epidemiology
10.1101/2020.10.19.20215673
medRxiv
Show abstract
A recently proposed temporal correlation-based- network framework applied on financial markets called Struc- tural Entropy has prompted us to utilize it as a means of analysis for COVID-19 fatalities across countries. Our observation on the resemblance of volatility of fluctuations of daily novel coronavirus related number of deaths to the daily stock exchange returns suggests the applicability of this approach.
Matching journals
●Non-profit
◐University press
○Commercial
The top 8 journals account for 50% of the predicted probability mass.
1
Scientific Reports
○
3102 papers in training set
Top 0.3%
22.7%
2
Frontiers in Physics
○
20 papers in training set
Top 0.1%
6.4%
3
Chaos, Solitons & Fractals
○
32 papers in training set
Top 0.3%
6.4%
4
PLOS ONE
●
4510 papers in training set
Top 31%
4.9%
5
Computers in Biology and Medicine
○
120 papers in training set
Top 0.9%
3.6%
6
Biology
○
43 papers in training set
Top 0.2%
2.7%
7
Chaos: An Interdisciplinary Journal of Nonlinear Science
●
16 papers in training set
Top 0.1%
2.6%
8
PLOS Computational Biology
●
1633 papers in training set
Top 13%
2.4%
50% of probability mass above
9
Journal of Clinical Medicine
○
91 papers in training set
Top 2%
2.1%
10
International Journal of Molecular Sciences
○
453 papers in training set
Top 5%
2.1%
11
Computational Biology and Chemistry
○
23 papers in training set
Top 0.1%
1.8%
12
Heliyon
○
146 papers in training set
Top 2%
1.7%
13
Communications Biology
○
886 papers in training set
Top 9%
1.7%
14
Nature Communications
○
4913 papers in training set
Top 53%
1.5%
15
npj Systems Biology and Applications
○
99 papers in training set
Top 1%
1.5%
16
Physical Review Research
●
46 papers in training set
Top 0.5%
1.2%
17
Frontiers in Genetics
○
197 papers in training set
Top 7%
1.2%
18
The European Physical Journal Plus
○
13 papers in training set
Top 0.6%
1.2%
19
Proceedings of the National Academy of Sciences
●
2130 papers in training set
Top 38%
1.2%
20
Computational and Structural Biotechnology Journal
●
216 papers in training set
Top 7%
1.0%
21
Communications Physics
○
12 papers in training set
Top 0.3%
1.0%
22
Royal Society Open Science
●
193 papers in training set
Top 4%
0.9%
23
Biomechanics and Modeling in Mechanobiology
○
25 papers in training set
Top 0.7%
0.9%
24
eLife
●
5422 papers in training set
Top 55%
0.8%
25
Journal of Medical Internet Research
◐
85 papers in training set
Top 4%
0.8%
26
Physica A: Statistical Mechanics and its Applications
○
10 papers in training set
Top 0.3%
0.8%
27
Physical Biology
○
43 papers in training set
Top 2%
0.8%
28
Mathematical Biosciences and Engineering
●
23 papers in training set
Top 0.6%
0.8%
29
Frontiers in Cell and Developmental Biology
○
218 papers in training set
Top 10%
0.7%
30
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
●
15 papers in training set
Top 0.9%
0.7%