Real-time tentative assessment of the epidemiological characteristics of novel coronavirus infections in Wuhan, China, as at 22 January 2020-Reference-Cited by-同舟云学术

Real-time tentative assessment of the epidemiological characteristics of novel coronavirus infections in Wuhan, China, as at 22 January 2020

Published:2020-01-23 Issue:3 Volume:25 Page:
ISSN:1560-7917
Container-title:Eurosurveillance
language:en
Short-container-title:

Author:

Wu Peng¹,Hao Xinxin¹,Lau Eric H Y¹,Wong Jessica Y¹,Leung Kathy S M¹,Wu Joseph T¹,Cowling Benjamin J²¹,Leung Gabriel M²¹

Affiliation:

1. World Health Organization (WHO) Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, China

2. These authors are joint senior authors with equal contribution

Abstract

A novel coronavirus (2019-nCoV) causing severe acute respiratory disease emerged recently in Wuhan, China. Information on reported cases strongly indicates human-to-human spread, and the most recent information is increasingly indicative of sustained human-to-human transmission. While the overall severity profile among cases may change as more mild cases are identified, we estimate a risk of fatality among hospitalised cases at 14% (95% confidence interval: 3.9–32%).

Publisher

European Centre for Disease Control and Prevention (ECDC)

Subject

Virology,Public Health, Environmental and Occupational Health,Epidemiology

Reference33 articles.

1. Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses.;Su;Trends Microbiol,2016

2. Bat Coronaviruses in China.;Fan;Viruses,2019

3. Epidemic and Emerging Coronaviruses (Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome).;Hui;Clin Chest Med,2017

4. Molecular epidemiology of the novel coronavirus that causes severe acute respiratory syndrome.;Guan;Lancet,2004

Cited by 345 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trends of solid waste generation during COVID-19 Pandemic: A review;Waste Management Bulletin;2024-03

2. Deep learning based classification of COVID-19 severity using hierarchical deep maxout model;Biomedical Signal Processing and Control;2024-02

3. Prevalence and factors associated with depression and anxiety among COVID-19 survivors in Dhaka city;Frontiers in Psychiatry;2024-01-23

4. Alterations in microbiome of COVID-19 patients and its impact on forensic investigations;Science & Justice;2024-01

5. Undervalued essential work and lacking health literacy as determinants of COVID-19 infection risks: a qualitative interview study among foreign-born workers in Sweden;BMJ Open;2023-12