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Nonpharmaceutical interventions contribute to the control of COVID-19 in China based on a pairwise model.
Luo, Xiao-Feng; Feng, Shanshan; Yang, Junyuan; Peng, Xiao-Long; Cao, Xiaochun; Zhang, Juping; Yao, Meiping; Zhu, Huaiping; Li, Michael Y; Wang, Hao; Jin, Zhen.
  • Luo XF; Department of Mathematics, North University of China, Taiyuan, Shanxi, 030051, China.
  • Feng S; Department of Mathematics, North University of China, Taiyuan, Shanxi, 030051, China.
  • Yang J; Complex System Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China.
  • Peng XL; Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention, Shanxi University, Taiyuan, 030006, Shanxi, China.
  • Cao X; Complex System Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China.
  • Zhang J; Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention, Shanxi University, Taiyuan, 030006, Shanxi, China.
  • Yao M; Complex System Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China.
  • Zhu H; Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention, Shanxi University, Taiyuan, 030006, Shanxi, China.
  • Li MY; Complex System Research Center, Shanxi University, Taiyuan, 030006, Shanxi, China.
  • Wang H; Shanxi Key Laboratory of Mathematical Techniques and Big Data Analysis on Disease Control and Prevention, Shanxi University, Taiyuan, 030006, Shanxi, China.
  • Jin Z; School of Mathematical Sciences, Shanxi University, Taiyuan, 030006, Shanxi, PR China.
Infect Dis Model ; 6: 643-663, 2021.
Article in English | MEDLINE | ID: covidwho-1174266
ABSTRACT
Nonpharmaceutical interventions (NPIs), particularly contact tracing isolation and household quarantine, play a vital role in effectively bringing the Coronavirus Disease 2019 (COVID-19) under control in China. The pairwise model, has an inherent advantage in characterizing those two NPIs than the classical well-mixed models. Therefore, in this paper, we devised a pairwise epidemic model with NPIs to analyze COVID-19 outbreak in China by using confirmed cases during February 3rd-22nd, 2020. By explicitly incorporating contact tracing isolation and family clusters caused by household quarantine, our model provided a good fit to the trajectory of COVID-19 infections. We calculated the reproduction number R = 1.345 (95% CI 1.230 - 1.460) for Hubei province and R = 1.217 (95% CI 1.207 - 1.227) for China (except Hubei). We also estimated the peak time of infections, the epidemic duration and the final size, which are basically consistent with real observation. We indicated by simulation that the traced high-risk contacts from incubated to susceptible decrease under NPIs, regardless of infected cases. The sensitivity analysis showed that reducing the exposure of the susceptible and increasing the clustering coefficient bolster COVID-19 control. With the enforcement of household quarantine, the reproduction number R and the epidemic prevalence declined effectively. Furthermore, we obtained the resumption time of work and production in China (except Hubei) on 10th March and in Hubei at the end of April 2020, respectively, which is broadly in line with the actual time. Our results may provide some potential lessons from China on the control of COVID-19 for other parts of the world.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: Infect Dis Model Year: 2021 Document Type: Article Affiliation country: J.idm.2021.04.001

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study Language: English Journal: Infect Dis Model Year: 2021 Document Type: Article Affiliation country: J.idm.2021.04.001