Literature DB >> 33514781

Transmission dynamics and control measures of COVID-19 outbreak in China: a modelling study.

Xu-Sheng Zhang1,2, Emilia Vynnycky3,4, Andre Charlett3, Daniela De Angelis3,5, Zhengji Chen6, Wei Liu7.   

Abstract

COVID-19 is reported to have been brought under control in China. To understand the COVID-19 outbreak in China and provide potential lessons for other parts of the world, in this study we apply a mathematical model with multiple datasets to estimate the transmissibility of the SARS-CoV-2 virus and the severity of the illness associated with the infection, and how both were affected by unprecedented control measures. Our analyses show that before 19th January 2020, 3.5% (95% CI 1.7-8.3%) of  infected people were detected; this percentage increased to 36.6% (95% CI 26.1-55.4%) thereafter. The basic reproduction number (R0) was 2.33 (95% CI 1.96-3.69) before 8th February 2020; then the effective reproduction number dropped to 0.04(95% CI 0.01-0.10). This estimation also indicates that control measures taken since 23rd January 2020 affected the transmissibility about 2 weeks after they were introduced. The confirmed case fatality rate is estimated at 9.6% (95% CI 8.1-11.4%) before 15 February 2020, and then it reduced to 0.7% (95% CI 0.4-1.0%). This shows that SARS-CoV-2 virus is highly transmissible but may be less severe than SARS-CoV-1 and MERS-CoV. We found that at the early stage, the majority of R0 comes from undetected infectious people. This implies that successful control in China was achieved through reducing the contact rates among people in the general population and increasing the rate of detection and quarantine of the infectious cases.

Entities:  

Mesh:

Year:  2021        PMID: 33514781      PMCID: PMC7846591          DOI: 10.1038/s41598-021-81985-z

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  35 in total

1.  The construction of next-generation matrices for compartmental epidemic models.

Authors:  O Diekmann; J A P Heesterbeek; M G Roberts
Journal:  J R Soc Interface       Date:  2009-11-05       Impact factor: 4.118

2.  Seroprevalence of immunoglobulin M and G antibodies against SARS-CoV-2 in China.

Authors:  Xin Xu; Jian Sun; Sheng Nie; Huiyuan Li; Yaozhong Kong; Min Liang; Jinlin Hou; Xianzhong Huang; Dongfeng Li; Tean Ma; Jiaqing Peng; Shikui Gao; Yong Shao; Hong Zhu; Johnson Yiu-Nam Lau; Guangyu Wang; Chunbao Xie; Li Jiang; Ailong Huang; Zhenglin Yang; Kang Zhang; Fan Fan Hou
Journal:  Nat Med       Date:  2020-06-05       Impact factor: 53.440

3.  Temporal dynamics in viral shedding and transmissibility of COVID-19.

Authors:  Xi He; Eric H Y Lau; Peng Wu; Xilong Deng; Jian Wang; Xinxin Hao; Yiu Chung Lau; Jessica Y Wong; Yujuan Guan; Xinghua Tan; Xiaoneng Mo; Yanqing Chen; Baolin Liao; Weilie Chen; Fengyu Hu; Qing Zhang; Mingqiu Zhong; Yanrong Wu; Lingzhai Zhao; Fuchun Zhang; Benjamin J Cowling; Fang Li; Gabriel M Leung
Journal:  Nat Med       Date:  2020-04-15       Impact factor: 53.440

Review 4.  Middle East respiratory syndrome: what we learned from the 2015 outbreak in the Republic of Korea.

Authors:  Myoung-Don Oh; Wan Beom Park; Sang-Won Park; Pyoeng Gyun Choe; Ji Hwan Bang; Kyoung-Ho Song; Eu Suk Kim; Hong Bin Kim; Nam Joong Kim
Journal:  Korean J Intern Med       Date:  2018-02-27       Impact factor: 2.884

5.  High Contagiousness and Rapid Spread of Severe Acute Respiratory Syndrome Coronavirus 2.

Authors:  Steven Sanche; Yen Ting Lin; Chonggang Xu; Ethan Romero-Severson; Nick Hengartner; Ruian Ke
Journal:  Emerg Infect Dis       Date:  2020-06-21       Impact factor: 6.883

6.  Clinical findings in a group of patients infected with the 2019 novel coronavirus (SARS-Cov-2) outside of Wuhan, China: retrospective case series.

Authors:  Xiao-Wei Xu; Xiao-Xin Wu; Xian-Gao Jiang; Kai-Jin Xu; Ling-Jun Ying; Chun-Lian Ma; Shi-Bo Li; Hua-Ying Wang; Sheng Zhang; Hai-Nv Gao; Ji-Fang Sheng; Hong-Liu Cai; Yun-Qing Qiu; Lan-Juan Li
Journal:  BMJ       Date:  2020-02-19

7.  Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study.

Authors:  Joseph T Wu; Kathy Leung; Gabriel M Leung
Journal:  Lancet       Date:  2020-01-31       Impact factor: 79.321

8.  Different epidemic curves for severe acute respiratory syndrome reveal similar impacts of control measures.

Authors:  Jacco Wallinga; Peter Teunis
Journal:  Am J Epidemiol       Date:  2004-09-15       Impact factor: 4.897

9.  Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions.

Authors:  Zifeng Yang; Zhiqi Zeng; Ke Wang; Sook-San Wong; Wenhua Liang; Mark Zanin; Peng Liu; Xudong Cao; Zhongqiang Gao; Zhitong Mai; Jingyi Liang; Xiaoqing Liu; Shiyue Li; Yimin Li; Feng Ye; Weijie Guan; Yifan Yang; Fei Li; Shengmei Luo; Yuqi Xie; Bin Liu; Zhoulang Wang; Shaobo Zhang; Yaonan Wang; Nanshan Zhong; Jianxing He
Journal:  J Thorac Dis       Date:  2020-03       Impact factor: 3.005

10.  Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2).

Authors:  Ruiyun Li; Sen Pei; Bin Chen; Yimeng Song; Tao Zhang; Wan Yang; Jeffrey Shaman
Journal:  Science       Date:  2020-03-16       Impact factor: 47.728

View more
  7 in total

Review 1.  A review on COVID-19 transmission, epidemiological features, prevention and vaccination.

Authors:  Yuqin Zhang; Gonghua Wu; Shirui Chen; Xu Ju; Wumitijiang Yimaer; Wangjian Zhang; Shao Lin; Yuantao Hao; Jing Gu; Jinghua Li
Journal:  Med Rev (Berl)       Date:  2022-03-02

2.  Retrospective methodology to estimate daily infections from deaths (REMEDID) in COVID-19: the Spain case study.

Authors:  David García-García; María Isabel Vigo; Eva S Fonfría; Zaida Herrador; Miriam Navarro; Cesar Bordehore
Journal:  Sci Rep       Date:  2021-05-28       Impact factor: 4.379

3.  Panel Associations Between Newly Dead, Healed, Recovered, and Confirmed Cases During COVID-19 Pandemic.

Authors:  Ming Guan
Journal:  J Epidemiol Glob Health       Date:  2021-12-11

4.  Assessing a fossil fuels externality with a new neural networks and image optimisation algorithm: the case of atmospheric pollutants as confounders to COVID-19 lethality.

Authors:  Cosimo Magazzino; Marco Mele; Nicolas Schneider
Journal:  Epidemiol Infect       Date:  2021-11-16       Impact factor: 2.451

5.  Importation, Local Transmission, and Model Selection in Estimating the Transmissibility of COVID-19: The Outbreak in Shaanxi Province of China as a Case Study.

Authors:  Xu-Sheng Zhang; Huan Xiong; Zhengji Chen; Wei Liu
Journal:  Trop Med Infect Dis       Date:  2022-09-03

6.  Time series prediction of COVID-19 transmission in America using LSTM and XGBoost algorithms.

Authors:  Junling Luo; Zhongliang Zhang; Yao Fu; Feng Rao
Journal:  Results Phys       Date:  2021-06-22       Impact factor: 4.476

7.  Mathematical modeling of COVID-19 in India and its states with optimal control.

Authors:  Shraddha Ramdas Bandekar; Mini Ghosh
Journal:  Model Earth Syst Environ       Date:  2021-06-10
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.