Back

Epidemic analysis of COVID-19 in China by dynamical modeling

Peng, L.; Yang, W.; Zhang, D.; Zhuge, C.; Hong, L.

2020-02-18 epidemiology
10.1101/2020.02.16.20023465 medRxiv
Show abstract

The outbreak of novel coronavirus-caused pneumonia (COVID-19) in Wuhan has attracted worldwide attention. Here, we propose a generalized SEIR model to analyze this epidemic. Based on the public data of National Health Commission of China from Jan. 20th to Feb. 9th, 2020, we reliably estimate key epidemic parameters and make predictions on the inflection point and possible ending time for 5 different regions. According to optimistic estimation, the epidemics in Beijing and Shanghai will end soon within two weeks, while for most part of China, including the majority of cities in Hubei province, the success of anti-epidemic will be no later than the middle of March. The situation in Wuhan is still very severe, at least based on public data until Feb. 15th. We expect it will end up at the beginning of April. Moreover, by inverse inference, we find the outbreak of COVID-19 in Mainland, Hubei province and Wuhan all can be dated back to the end of December 2019, and the doubling time is around two days at the early stage.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Quantitative Biology
11 papers in training set
Top 0.1%
15.1%
2
Nature Communications
4913 papers in training set
Top 27%
6.5%
3
Science China Life Sciences
26 papers in training set
Top 0.1%
6.5%
4
Nature Machine Intelligence
61 papers in training set
Top 0.4%
6.5%
5
Communications Physics
12 papers in training set
Top 0.1%
5.0%
6
The Innovation
12 papers in training set
Top 0.1%
4.1%
7
Frontiers in Physics
20 papers in training set
Top 0.1%
3.7%
8
Scientific Reports
3102 papers in training set
Top 34%
3.7%
50% of probability mass above
9
PLOS ONE
4510 papers in training set
Top 42%
3.1%
10
Communications Biology
886 papers in training set
Top 5%
2.1%
11
Journal of Infection
71 papers in training set
Top 0.8%
2.1%
12
eLife
5422 papers in training set
Top 35%
2.1%
13
PLOS Computational Biology
1633 papers in training set
Top 14%
1.9%
14
Physical Review Research
46 papers in training set
Top 0.3%
1.9%
15
IEEE Journal of Biomedical and Health Informatics
34 papers in training set
Top 1.0%
1.7%
16
Science
429 papers in training set
Top 14%
1.7%
17
Advanced Science
249 papers in training set
Top 12%
1.5%
18
Physical Review X
23 papers in training set
Top 0.3%
1.3%
19
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 37%
1.3%
20
Heliyon
146 papers in training set
Top 4%
1.0%
21
Epidemics
104 papers in training set
Top 1%
0.9%
22
Frontiers in Public Health
140 papers in training set
Top 7%
0.9%
23
Nature Human Behaviour
85 papers in training set
Top 3%
0.9%
24
Science Advances
1098 papers in training set
Top 26%
0.9%
25
Mathematical Biosciences and Engineering
23 papers in training set
Top 0.5%
0.9%
26
International Journal of Infectious Diseases
126 papers in training set
Top 3%
0.8%
27
Biology
43 papers in training set
Top 2%
0.8%
28
Journal of Theoretical Biology
144 papers in training set
Top 2%
0.8%
29
BMC Public Health
147 papers in training set
Top 6%
0.8%
30
Chaos: An Interdisciplinary Journal of Nonlinear Science
16 papers in training set
Top 0.2%
0.8%