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A deterministic epidemic model for the emergence of COVID-19 in China

View ORCID ProfileMeng Wang, Jingtao Qi
doi: https://doi.org/10.1101/2020.03.08.20032854
Meng Wang
1Research Centre for Particle Science and Technology, Shandong University, Qingdao, People’s Republic of China
2Key Laboratory of Particle Physics and Particle Irradiation (Ministry of Education), Shandong University, Qingdao, People’s Republic of China
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  • For correspondence: mwang{at}sdu.edu.cn
Jingtao Qi
3Library, Shandong University, Jinan, People’s Republic of China
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Abstract

Coronavirus disease (COVID-19) broke out in Wuhan, Hubei province, China, in December 2019 and soon after Chinese health authorities took unprecedented prevention and control measures to curb the spreading of the novel coronavirus-related pneumonia. We develop a mathematical model based on daily updates of reported cases to study the evolution of the epidemic. With the model, on 95% confidence level, we estimate the basic reproduction number, R0 = 2.82 ± 0.11, time between March 19 and March 21 when the effective reproduction number becoming less than one, the epidemic ending after April 2 and the total number of confirmed cases approaching 14408 ± 429 on the Chinese mainland excluding Hubei province.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

none.

Author Declarations

All relevant ethical guidelines have been followed; any necessary IRB and/or ethics committee approvals have been obtained and details of the IRB/oversight body are included in the manuscript.

Yes

All necessary patient/participant consent has been obtained and the appropriate institutional forms have been archived.

Yes

I understand that all clinical trials and any other prospective interventional studies must be registered with an ICMJE-approved registry, such as ClinicalTrials.gov. I confirm that any such study reported in the manuscript has been registered and the trial registration ID is provided (note: if posting a prospective study registered retrospectively, please provide a statement in the trial ID field explaining why the study was not registered in advance).

Yes

I have followed all appropriate research reporting guidelines and uploaded the relevant EQUATOR Network research reporting checklist(s) and other pertinent material as supplementary files, if applicable.

Yes

Data Availability

The epidemic data are collected from reports on the official web pages of National Health Commission of the People's Republic of China.

http://www.nhc.gov.cn/xcs/yqtb/list_gzbd.shtml

Copyright 
The copyright holder for this preprint is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC 4.0 International license.
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Posted March 10, 2020.
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A deterministic epidemic model for the emergence of COVID-19 in China
Meng Wang, Jingtao Qi
medRxiv 2020.03.08.20032854; doi: https://doi.org/10.1101/2020.03.08.20032854
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A deterministic epidemic model for the emergence of COVID-19 in China
Meng Wang, Jingtao Qi
medRxiv 2020.03.08.20032854; doi: https://doi.org/10.1101/2020.03.08.20032854

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