Estimating the serial interval of the novel coronavirus disease (COVID‐19) based on the public surveillance data in Shenzhen, China, from 19 January to 22 February 2020-Reference-Cited by-同舟云学术

Estimating the serial interval of the novel coronavirus disease (COVID‐19) based on the public surveillance data in Shenzhen, China, from 19 January to 22 February 2020

Published:2020-06-19 Issue:6 Volume:67 Page:2818-2822
ISSN:1865-1674
Container-title:Transboundary and Emerging Diseases
language:en
Short-container-title:Transbound. Emerg. Dis.

Author:

Wang Kai¹,Zhao Shi²³^ORCID,Liao Ying⁴,Zhao Tiantian⁴,Wang Xiaoyan⁴,Zhang Xueliang¹,Jiao Haiyan⁴,Li Huling⁴,Yin Yi¹,Wang Maggie H.²³,Xiao Li⁵,Wang Lei¹,He Daihai⁶^ORCID

Affiliation:

1. Department of Medical Engineering and Technology Xinjiang Medical University Urumqi China

2. JC School of Public Health and Primary Care Chinese University of Hong Kong Hong Kong China

3. Shenzhen Research Institute of Chinese University of Hong Kong Shenzhen China

4. College of Public Health Xinjiang Medical University Urumqi China

5. College of Medical Information Engineering Chengdu University of Traditional Chinese Medicine Chengdu China

6. Department of Applied Mathematics Hong Kong Polytechnic University Hong Kong China

Funder

National Natural Science Foundation of China

Research Grants Council, University Grants Committee

Publisher

Wiley

Subject

General Veterinary,General Immunology and Microbiology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/tbed.13647

Reference24 articles.

1. Reproductive Number and Serial Interval of the First Wave of Influenza A(H1N1)pdm09 Virus in South Africa

2. Hospital Outbreak of Middle East Respiratory Syndrome Coronavirus

3. Estimating a Markovian Epidemic Model Using Household Serial Interval Data from the Early Phase of an Epidemic

4. Multimodel Inference

5. Estimation of the Serial Interval of Influenza

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