Back

Advice from a systems-biology model of the Corona epidemics

2020-03-30 epidemiology Title + abstract only
View on medRxiv
Show abstract

Using standard systems biology methodologies a 14-compartment dynamic model was developed for the Corona virus epidemic. The model predicts that : (i) it will be impossible to limit lockdown intensity such that sufficient herd immunity develops for this epidemic to die down, (ii) the death toll from the SARS-CoV-2 virus decreases very strongly with increasing intensity of the lockdown, but (iii) the duration of the epidemic increases at first with that intensity and then decreases again, such th...

Predicted journal destinations

1
PLOS ONE
1737 training papers
Top 28% 22.8%
2
Scientific Reports
701 training papers
Top 8% 15.0%
3
Infectious Disease Modelling
50 training papers
Top 0.4% 6.1%
4
PLOS Computational Biology
141 training papers
Top 4% 5.2%
5
Epidemics
96 training papers
Top 3% 5.2%
6
Bulletin of Mathematical Biology
17 training papers
#1 4.0%
7
Royal Society Open Science
49 training papers
Top 0.5% 4.0%
8
Epidemiology and Infection
80 training papers
Top 3% 2.9%
9
BMC Public Health
148 training papers
Top 15% 2.0%
10
Journal of The Royal Society Interface
54 training papers
Top 2% 2.0%
11
Journal of Theoretical Biology
29 training papers
Top 0.7% 2.0%
12
Frontiers in Public Health
135 training papers
Top 19% 1.6%
13
Chaos, Solitons & Fractals
17 training papers
Top 1.0% 1.6%
14
Nature Communications
483 training papers
Top 46% 1.4%
15
International Journal of Environmental Research and Public Health
116 training papers
Top 20% 1.4%
16
Proceedings of the National Academy of Sciences
100 training papers
Top 13% 1.2%
17
PLOS Neglected Tropical Diseases
166 training papers
Top 15% 1.2%
18
BMC Medicine
155 training papers
Top 27% 1.0%
19
BMC Infectious Diseases
110 training papers
Top 21% 1.0%
20
eLife
262 training papers
Top 44% 1.0%
21
Eurosurveillance
77 training papers
Top 13% 0.7%
22
Mathematical Biosciences
15 training papers
Top 1.0% 0.7%
23
American Journal of Epidemiology
54 training papers
Top 10% 0.7%
24
International Journal of Infectious Diseases
115 training papers
Top 23% 0.7%
25
Science
46 training papers
Top 7% 0.7%