Literature DB >> 33441168

The spatial transmission of SARS-CoV-2 in China under the prevention and control measures at the early outbreak.

Jianli Liu1, Yuan Zhou2, Chuanyu Ye3, Guangming Zhang4, Feng Zhang5, Chunjuan Song6.   

Abstract

BACKGROUND: Since severe acute respiratory syndrome coronavirus, 2 (SARS-CoV-2) was firstly reported in Wuhan City, China in December 2019, Novel Coronavirus Disease 2019 (COVID-19) that is caused by SARS-CoV-2 is predominantly spread from person-to-person on worldwide scales. Now, COVID-19 is a non-traditional and major public health issue the world is facing, and the outbreak is a global pandemic. The strict prevention and control measures have mitigated the spread of SARS-CoV-2 and shown positive changes with important progress in China. But prevention and control tasks remain arduous for the world. The objective of this study is to discuss the difference of spatial transmission characteristics of COVID-19 in China at the early outbreak stage with resolute efforts. Simultaneously, the COVID-19 trend of China at the early time was described from the statistical perspective using a mathematical model to evaluate the effectiveness of the prevention and control measures.
METHODS: In this study, the accumulated number of confirmed cases publicly reported by the National Health Committee of the People's Republic of China (CNHC) from January 20 to February 11, 2020, were grouped into three partly overlapping regions: Chinese mainland including Hubei province, Hubei province alone, and the other 30 provincial-level regions on Chinese mainland excluding Hubei province, respectively. A generalized-growth model (GGM) was used to estimate the basic reproduction number to evaluate the transmissibility in different spatial locations. The prevention and control of COVID-19 in the early stage were analyzed based on the number of new cases of confirmed infections daily reported.
RESULTS: Results indicated that the accumulated number of confirmed cases reported from January 20 to February 11, 2020, is well described by the GGM model with a larger correlation coefficient than 0.99. When the accumulated number of confirmed cases is well fitted by an exponential function, the basic reproduction number of COVID-19 of the 31 provincial-level regions on the Chinese mainland, Hubei province, and the other 30 provincial-level regions on the Chinese mainland excluding Hubei province, is 2.68, 6.46 and 2.18, respectively. The consecutive decline of the new confirmed cases indicated that the prevention and control measures taken by the Chinese government have contained the spread of SARS-CoV-2 in a short period.
CONCLUSIONS: The estimated basic reproduction number thorough GGM model can reflect the spatial difference of SARS-CoV-2 transmission in China at the early stage. The strict prevention and control measures of SARS-CoV-2 taken at the early outbreak can effectively reduce the new confirmed cases outside Hubei and have mitigated the spread and yielded positive results since February 2, 2020. The research results indicated that the outbreak of COVID-19 in China was sustaining localized at the early outbreak stage and has been gradually curbed by China's resolute efforts.

Entities:  

Keywords:  Basic reproduction number; COVID-19; Early outbreak phase; Generalized-growth model; Prevention and control measures; Spatial transmission

Year:  2021        PMID: 33441168     DOI: 10.1186/s13690-021-00529-z

Source DB:  PubMed          Journal:  Arch Public Health        ISSN: 0778-7367


  19 in total

1.  Opinion: What models can and cannot tell us about COVID-19.

Authors:  Alexander F Siegenfeld; Nassim N Taleb; Yaneer Bar-Yam
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-24       Impact factor: 11.205

2.  Responding to Covid-19 - A Once-in-a-Century Pandemic?

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3.  Predicting COVID-19 in China Using Hybrid AI Model.

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Review 4.  Coronavirus disease 2019 (COVID-19): A literature review.

Authors:  Harapan Harapan; Naoya Itoh; Amanda Yufika; Wira Winardi; Synat Keam; Haypheng Te; Dewi Megawati; Zinatul Hayati; Abram L Wagner; Mudatsir Mudatsir
Journal:  J Infect Public Health       Date:  2020-04-08       Impact factor: 3.718

5.  Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia.

Authors:  Qun Li; Xuhua Guan; Peng Wu; Xiaoye Wang; Lei Zhou; Yeqing Tong; Ruiqi Ren; Kathy S M Leung; Eric H Y Lau; Jessica Y Wong; Xuesen Xing; Nijuan Xiang; Yang Wu; Chao Li; Qi Chen; Dan Li; Tian Liu; Jing Zhao; Man Liu; Wenxiao Tu; Chuding Chen; Lianmei Jin; Rui Yang; Qi Wang; Suhua Zhou; Rui Wang; Hui Liu; Yinbo Luo; Yuan Liu; Ge Shao; Huan Li; Zhongfa Tao; Yang Yang; Zhiqiang Deng; Boxi Liu; Zhitao Ma; Yanping Zhang; Guoqing Shi; Tommy T Y Lam; Joseph T Wu; George F Gao; Benjamin J Cowling; Bo Yang; Gabriel M Leung; Zijian Feng
Journal:  N Engl J Med       Date:  2020-01-29       Impact factor: 176.079

6.  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

Review 7.  Management and Treatment of COVID-19: The Chinese Experience.

Authors:  Fujun Peng; Lei Tu; Yongshi Yang; Peng Hu; Runsheng Wang; Qinyong Hu; Feng Cao; Taijiao Jiang; Jinlyu Sun; Guogang Xu; Christopher Chang
Journal:  Can J Cardiol       Date:  2020-04-17       Impact factor: 5.223

8.  Modeling the transmission dynamics of COVID-19 epidemic: a systematic review.

Authors:  Jinxing Guan; Yongyue Wei; Yang Zhao; Feng Chen
Journal:  J Biomed Res       Date:  2020-10-30

9.  Forecasting the cumulative number of COVID-19 deaths in China: a Boltzmann function-based modeling study.

Authors:  Yuanyuan Gao; Zuqin Zhang; Cheng Long; Wei Yao; Qi Ying; Xinmiao Fu
Journal:  Infect Control Hosp Epidemiol       Date:  2020-04-02       Impact factor: 3.254

10.  An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China.

Authors:  Huaiyu Tian; Yonghong Liu; Yidan Li; Chieh-Hsi Wu; Bin Chen; Moritz U G Kraemer; Bingying Li; Jun Cai; Bo Xu; Qiqi Yang; Ben Wang; Peng Yang; Yujun Cui; Yimeng Song; Pai Zheng; Quanyi Wang; Ottar N Bjornstad; Ruifu Yang; Bryan T Grenfell; Oliver G Pybus; Christopher Dye
Journal:  Science       Date:  2020-03-31       Impact factor: 47.728

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  5 in total

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2.  The Impact of Lockdown, Patient Classification, and the Large-Scale Case Screening on the Spread of the Coronavirus Disease 2019 (COVID-19) in Hubei.

Authors:  Shengtao Wang; Yan Li; Ximei Wang; Yuanyuan Zhang; Yiyi Yuan; Yong Li
Journal:  Biomed Res Int       Date:  2022-05-06       Impact factor: 3.246

3.  Spatio-temporal characteristics and control strategies in the early period of COVID-19 spread: a case study of the mainland China.

Authors:  Jiachen Ning; Yuhan Chu; Xixi Liu; Daojun Zhang; Jinting Zhang; Wangjun Li; Hui Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2021-04-27       Impact factor: 4.223

4.  Comparison of prediction accuracies between mathematical models to make projections of confirmed cases during the COVID-19 pandamic by country/region.

Authors:  Kang-Ting Tsai; Tsair-Wei Chien; Ju-Kuo Lin; Yu-Tsen Yeh; Willy Chou
Journal:  Medicine (Baltimore)       Date:  2021-12-17       Impact factor: 1.817

5.  Surveillance Web System and Mouthwash-Saliva qPCR for Labor Ambulatory SARS-CoV-2 Detection and Prevention.

Authors:  Gustavo Mora-Aguilera; Verónica Martínez-Bustamante; Gerardo Acevedo-Sánchez; Juan J Coria-Contreras; Eduardo Guzmán-Hernández; Oscar E Flores-Colorado; Coral Mendoza-Ramos; Gabriel Hernández-Nava; Ikuri Álvarez-Maya; M Alejandra Gutiérrez-Espinosa; Raael Gómez-Linton; Ana Carolina Robles-Bustamante; Alberto Gallardo-Hernández
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