Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 Sep;3(3):229-234.
doi: 10.1016/j.jnlssr.2022.03.005. Epub 2022 May 10.

Epidemic modeling for the resurgence of COVID-19 in Chinese local communities

Affiliations

Epidemic modeling for the resurgence of COVID-19 in Chinese local communities

Min Peng et al. J Saf Sci Resil. 2022 Sep.

Abstract

COVID-19 is a constantly challenging global health issue due to its strong intensity, rapid mutation and high infectiousness. The new Delta and Omicron variants have triggered massive outbreaks worldwide. Even China, which has done a good job in outbreak prevention, is still heavily affected by the virus. The long-term fight against multiple COVID-19 outbreaks is ongoing. In this study, we propose an SEIQR model that considers the incubation period and quarantine measurement. We verified our model using actual outbreak data from four Chinese cities. Numerical simulations show that a five-day delay results in a double resurgence scale. Our model can be used as a tool to understand the spread of the virus quantitatively and provide a reference for policymaking accordingly.

Keywords: COVID-19; Mutation; Quarantine; Resurgence; SEIQR model.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this study.

Figures

Fig 1
Fig. 1
The diagram of the SEIQR model.
Fig 2
Fig. 2
Modeling for resurgence in Nanjing. Parameters are chosen as follows: N = 250; n = 10; n2=15; n3=5; β1=0.3; β2=0.2; β3=0.01; β4=0.001; α=1/N; γ=0.01; γ1=0.02; γ2=0.03; γ3=0.04; γ4=0.14; γ5=0.01; δ1=0.3; δ2=0.3; σ=1/5; M = 6; m = 2.
Fig 3
Fig. 3
Modeling for resurgence in Yangzhou. Parameters are chosen as follows: N = 600; n = 8; n2=18; n3=3; β1=0.5; β2=0.3; β3=0.01; β4=0.001; α=1/N; γ=0.03; γ1=0.04; γ2=0.05; γ3=0.07; γ4=0.15; γ5=0.01; δ1=0.5; δ2=0.1; σ=1/7; M = 4; m = 2.
Fig 4
Fig. 4
Modeling for resurgence in Zhengzhou. Parameters are chosen as follows: N = 200; n = 8; n2=15; n3=4; β1=0.5; β2=0.3; β3=0.01; β4=0.001; α=1/N; γ=0.06; γ1=0.05; γ2=0.05; γ3=0.07; γ4=0.1; γ5=0.01; δ1=0.8; δ2=0.7; σ=1/5; M = 4; m = 2.
Fig 5
Fig. 5
Effect of the asymptomatic transmission probability with baseline value β2=0.3.
Fig 6
Fig. 6
Effect of the probability of latent state converted into the infected state, the baseline value is σ=1/5.
Fig 7
Fig. 7
Effect of the probability of transmission from infected into isolated, the baseline value is δ1=0.8.
Fig 8
Fig. 8
Effect of probability of transmission from asymptomatic into isolated, the baseline value is δ2=0.5.
Fig 9
Fig. 9
Effect of the number of contact per day, the baseline values are M = 1; n = 5; δ1=0.8; δ2=0.5.
Fig 10
Fig. 10
Effect of breakthrough the defense line, the baseline parameter, the baseline values are β4=0.001; β3=0.01; m = 2.

Similar articles

References

    1. World Health Organization. https://www.who.int/data.
    1. Kojaku S., Hébert-Dufresne L., Mones E., Lehmann S., Ahn Y.Y. The effectiveness of backward contact tracing in networks. Nat. Phys. 2021;17:652–658. - PMC - PubMed
    1. Feehan D.M., Mahmud A.S. Quantifying population contact patterns in the United States during the COVID-19 pandemic. Nat. Commun. 2021;12(1) 893-893. - PMC - PubMed
    1. Hellewell J., Abbott S., Gimma A., Bosse N.I., Zandvoort K.V. Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts. Lancet Glob. Health. 2021;8(4):e488–e496. - PMC - PubMed
    1. Zhang L., Zhu J., Wang X., Yang J., Xu X.K. Characterizing COVID-19 transmission: incubation period, reproduction rate, and multiple-generation spreading. Front. Phys. 2021;8

LinkOut - more resources