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The novel coronavirus (COVID-19) infection in Hangzhou: An experience to share

Published online by Cambridge University Press:  05 March 2020

MengYuan Diao
Affiliation:
Department of Critical Care Medicine, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
Sheng Zhang
Affiliation:
Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Dechang Chen*
Affiliation:
Department of Critical Care Medicine, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
Wei Hu*
Affiliation:
Department of Critical Care Medicine, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
*
Author for correspondence: Dechang Chen, E-mail: chendechangsh@hotmail.com. Or Wei Hu, E-mail: paolohu929@zju.edu.cn
Author for correspondence: Dechang Chen, E-mail: chendechangsh@hotmail.com. Or Wei Hu, E-mail: paolohu929@zju.edu.cn
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Abstract

Information

Type
Letter to the Editor
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© 2020 by The Society for Healthcare Epidemiology of America. All rights reserved.
Figure 0

Fig. 1. The impact of a public emergency health alert on the daily incidence of COVID-19 infection in Hangzhou. The fitted trajectory shows the probable daily incidence with 95% confidence interval derived from existing data using a log-incidence over time regression model. The split point is the optimal date to split the epicurve into two phases, which best fits the model. Other interventions include restricted movement outside the home, noncontact delivery, online work and teaching, etc.