Back

COVID-19 propagation by diffusion - a two-dimensional approach for Germany

Baerwolff, G. K. F.

2021-01-20 infectious diseases
10.1101/2021.01.15.21249893 medRxiv
Show abstract

Diffusion comes anytime and everywhere. If there is a gradient or a potential difference of a quantity a diffusion process happens and this ends if an equilibrium is reached only. The concentration of a species maybe such quantity, or the voltage. An electric currant will be driven by a voltage difference for example. In this COVID-19 pandemic one observes both regions with low incidence and other ones with high incidence. The local different people density could be a reason for that. In populous areas like big cities or congested urban areas higher COVID-19 incidences could be observed than in rural regions. The aim of this paper consists in the application of a diffusion concept to describe one possible issue of the the COVID-19 propagation. This will be discussed for the German situation based on the quite different incidence data for the different federal states of Germany. With this ansatz some phenomenoms of the actual development of the pandemic could be confirmed. The model gives a possibility to investigate certain scenarios like border-crossings or local spreading events and their influence on the COVID-19 propagation as well.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
The European Physical Journal Plus
13 papers in training set
Top 0.1%
42.1%
2
PLOS ONE
4510 papers in training set
Top 14%
13.3%
50% of probability mass above
3
Scientific Reports
3102 papers in training set
Top 12%
7.2%
4
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
15 papers in training set
Top 0.2%
2.8%
5
Royal Society Open Science
193 papers in training set
Top 2%
1.9%
6
Mathematical Biosciences
42 papers in training set
Top 0.5%
1.8%
7
Chaos, Solitons & Fractals
32 papers in training set
Top 0.9%
1.8%
8
Frontiers in Physics
20 papers in training set
Top 0.3%
1.8%
9
Journal of Clinical Medicine
91 papers in training set
Top 4%
1.6%
10
JMIRx Med
31 papers in training set
Top 1.0%
1.3%
11
International Journal of Environmental Research and Public Health
124 papers in training set
Top 5%
1.3%
12
Biology
43 papers in training set
Top 1%
1.2%
13
Epidemics
104 papers in training set
Top 1%
0.9%
14
BMJ Open
554 papers in training set
Top 12%
0.8%
15
Mathematics
11 papers in training set
Top 0.3%
0.8%
16
Nonlinear Dynamics
10 papers in training set
Top 0.4%
0.8%
17
Journal of Mathematical Biology
37 papers in training set
Top 0.3%
0.8%
18
COVID
13 papers in training set
Top 0.3%
0.8%
19
Biomechanics and Modeling in Mechanobiology
25 papers in training set
Top 0.8%
0.8%
20
Frontiers in Public Health
140 papers in training set
Top 9%
0.5%
21
Epidemiology and Infection
84 papers in training set
Top 4%
0.5%