Back

Characterizing the transmission and identifying the control strategy for COVID-19 through epidemiological modeling

Zhang, K. K.; Xie, L.; Lawless, L.; Zhou, H.; Gao, G.; Xue, C.

2020-02-25 epidemiology
10.1101/2020.02.24.20026773
Show abstract

The outbreak of the novel coronavirus disease, COVID-19, originating from Wuhan, China in early December, has infected more than 70,000 people in China and other countries and has caused more than 2,000 deaths. As the disease continues to spread, the biomedical society urgently began identifying effective approaches to prevent further outbreaks. Through rigorous epidemiological analysis, we characterized the fast transmission of COVID-19 with a basic reproductive number 5.6 and proved a sole zoonotic source to originate in Wuhan. No changes in transmission have been noted across generations. By evaluating different control strategies through predictive modeling and Monte carlo simulations, a comprehensive quarantine in hospitals and quarantine stations has been found to be the most effective approach. Government action to immediately enforce this quarantine is highly recommended.

Matching journals

The top 10 journals account for 50% of the predicted probability mass.

1
PLOS ONE
based on 1737 papers
Top 34%
13.9%
2
Scientific Reports
based on 701 papers
Top 10%
11.8%
3
Frontiers in Public Health
based on 135 papers
Top 4%
6.1%
4
Infectious Disease Modelling
based on 50 papers
Top 3%
3.0%
5
International Journal of Infectious Diseases
based on 115 papers
Top 3%
3.0%
6
Frontiers in Medicine
based on 99 papers
Top 5%
3.0%
7
Travel Medicine and Infectious Disease
based on 14 papers
Top 0.1%
2.6%
8
Science of The Total Environment
based on 80 papers
Top 2%
2.6%
9
Nature Communications
based on 483 papers
Top 26%
2.4%
10
International Journal of Environmental Research and Public Health
based on 116 papers
Top 11%
1.9%
50% of probability mass above
11
Journal of Medical Virology
based on 95 papers
Top 5%
1.9%
12
Chaos, Solitons & Fractals
based on 17 papers
Top 2%
1.9%
13
Emerging Infectious Diseases
based on 84 papers
Top 7%
1.7%
14
PeerJ
based on 46 papers
Top 4%
1.7%
15
Epidemiology and Infection
based on 80 papers
Top 5%
1.7%
16
Clinical Infectious Diseases
based on 219 papers
Top 14%
1.7%
17
Science
based on 46 papers
Top 4%
1.7%
18
Viruses
based on 79 papers
Top 3%
1.4%
19
JMIR Public Health and Surveillance
based on 45 papers
Top 7%
1.4%
20
BMC Public Health
based on 148 papers
Top 21%
0.8%
21
eLife
based on 262 papers
Top 27%
0.8%
22
Journal of Infection
based on 64 papers
Top 6%
0.8%
23
Journal of Travel Medicine
based on 17 papers
Top 2%
0.7%
24
Frontiers in Physics
based on 11 papers
Top 2%
0.7%
25
Emerging Microbes & Infections
based on 20 papers
Top 2%
0.7%
26
BMC Infectious Diseases
based on 110 papers
Top 20%
0.7%