New Measures for the Coronavirus Disease 2019 Response: A Lesson From the Wenzhou Experience

Author:

Ruan Linhui1,Wen Min1,Zeng Qingrun2,Chen Chengshui3,Huang Shengwei1,Yang Su1,Yang Jianjing1,Wang Jingqiang2,Hu Yuhuan2,Ding Saidan1,Zhang Ying1,Zhang Hongxia4,Feng Yuanjing2,Jin Kunlin4,Zhuge Qichuan15

Affiliation:

1. Zhejiang Provincial Key Laboratory of Aging and Neurological Disorder Research, Department of Neurosurgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

2. Institute of Information Processing and Automation, College of Information Engineering, Zhejiang University of Technology, Hangzhou, China

3. Zhejiang Provincial Key Laboratory of Interventional Pulmonology, Department of Respiratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China

4. Department of Pharmacology and Neuroscience, University of North Texas Health Science Center, Fort Worth, Texas, USA

5. Committee of Control of the Epidemic of COVID-19 of Wenzhou, Wenzhou, China

Abstract

Abstract As the outbreak of coronavirus disease 2019 (COVID-19) has spread globally, determining how to prevent the spread is of paramount importance. We reported the effectiveness of different responses of 4 affected cities in preventing the COVID-19 spread. We expect the Wenzhou anti–COVID-19 measures may provide information for cities around the world that are experiencing this epidemic.

Funder

National Natural Science Foundation of China

International (Regional) Cooperation and Exchange Projects

Key Project of Science Technology Department of Zhejiang Province

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

Reference10 articles.

1. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China;Huang;Lancet,2020

2. Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia;Li;N Engl J Med,2020

3. When will be the resumption of work in Wuhan and its surrounding areas during COVID-19 epidemic? A data-driven network modeling analysis [in Chinese];Wang;Sci Sin Math,2020

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