Investigating time, strength, and duration of measures in controlling the spread of COVID-19 using a networked meta-population model-Reference-Cited by-同舟云学术

Investigating time, strength, and duration of measures in controlling the spread of COVID-19 using a networked meta-population model

Published:2020-06-27 Issue:3 Volume:101 Page:1789-1800
ISSN:0924-090X
Container-title:Nonlinear Dynamics
language:en
Short-container-title:Nonlinear Dyn

Author:

Zhang Jiang,Dong Lei,Zhang Yanbo,Chen Xinyue,Yao Guiqing,Han Zhangang

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Newton Fund through a UK-China AMR Partnership Hub award

the National Institute for Health Research (NIHR) Health Technology Assessment Programme

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Mechanical Engineering,Ocean Engineering,Aerospace Engineering,Control and Systems Engineering

Link

https://link.springer.com/content/pdf/10.1007/s11071-020-05769-2.pdf

Reference45 articles.

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2. World Health Organization: Statement on the second meeting of the International Health Regulations (2005) Emergency Committee regarding the outbreak of novel coronavirus (2019-nCoV) (2020). https://www.who.int/. Accessed 16 Feb 2020

3. Li, Q., Guan, X., Wu, P., et al.: Early transmission dynamics in Wuhan, China, of novel coronavirus–infected pneumonia. N. Engl. J. Med. (2020). https://doi.org/10.1056/NEJMoa2001316

4. National Health Commission of the People’s Republic of China: Daily briefing on novel coronavirus cases in China (2020). https://en.nhc.gov.cn/2020-03/28/c_78396.htm/. Accessed 28 Mar 2020

5. World Health Organization: Coronavirus disease 2019 (COVID-19) Situation Report—67 (2020). https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200327-sitrep-67-covid-19.pdf. Accessed 28 Mar 2020

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