Characteristics of COVID-19 infection in Beijing.
Identifieur interne : 000725 ( PubMed/Corpus ); précédent : 000724; suivant : 000726Characteristics of COVID-19 infection in Beijing.
Auteurs : Sijia Tian ; Nan Hu ; Jing Lou ; Kun Chen ; Xuqin Kang ; Zhenjun Xiang ; Hui Chen ; Dali Wang ; Ning Liu ; Dong Liu ; Gang Chen ; Yongliang Zhang ; Dou Li ; Jianren Li ; Huixin Lian ; Shengmei Niu ; Luxi Zhang ; Jinjun ZhangSource :
- The Journal of infection [ 1532-2742 ] ; 2020.
English descriptors
- KwdEn :
- Adolescent, Adult, Aged, Aged, 80 and over, Beijing (epidemiology), Betacoronavirus, Child, Child, Preschool, Coronavirus Infections (epidemiology), Coronavirus Infections (physiopathology), Cough, Disease Outbreaks, Fatigue, Female, Fever, Humans, Infant, Male, Middle Aged, Pandemics, Pneumonia, Viral (epidemiology), Pneumonia, Viral (physiopathology), Retrospective Studies, Severe Acute Respiratory Syndrome (epidemiology), Travel-Related Illness, Young Adult.
- MESH :
- geographic , epidemiology : Beijing.
- epidemiology : Coronavirus Infections, Pneumonia, Viral, Severe Acute Respiratory Syndrome.
- physiopathology : Coronavirus Infections, Pneumonia, Viral.
- Adolescent, Adult, Aged, Aged, 80 and over, Betacoronavirus, Child, Child, Preschool, Cough, Disease Outbreaks, Fatigue, Female, Fever, Humans, Infant, Male, Middle Aged, Pandemics, Retrospective Studies, Travel-Related Illness, Young Adult.
Abstract
Since the first case of a novel coronavirus (COVID-19) infection pneumonia was detected in Wuhan, China, a series of confirmed cases of the COVID-19 were found in Beijing. We analyzed the data of 262 confirmed cases to determine the clinical and epidemiological characteristics of COVID-19 in Beijing.
DOI: 10.1016/j.jinf.2020.02.018
PubMed: 32112886
Links to Exploration step
pubmed:32112886Le document en format XML
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<front><div type="abstract" xml:lang="en">Since the first case of a novel coronavirus (COVID-19) infection pneumonia was detected in Wuhan, China, a series of confirmed cases of the COVID-19 were found in Beijing. We analyzed the data of 262 confirmed cases to determine the clinical and epidemiological characteristics of COVID-19 in Beijing.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32112886</PMID>
<DateCompleted><Year>2020</Year>
<Month>04</Month>
<Day>06</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>04</Month>
<Day>08</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1532-2742</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>80</Volume>
<Issue>4</Issue>
<PubDate><Year>2020</Year>
<Month>04</Month>
</PubDate>
</JournalIssue>
<Title>The Journal of infection</Title>
<ISOAbbreviation>J. Infect.</ISOAbbreviation>
</Journal>
<ArticleTitle>Characteristics of COVID-19 infection in Beijing.</ArticleTitle>
<Pagination><MedlinePgn>401-406</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S0163-4453(20)30101-8</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jinf.2020.02.018</ELocationID>
<Abstract><AbstractText Label="BACKGROUND">Since the first case of a novel coronavirus (COVID-19) infection pneumonia was detected in Wuhan, China, a series of confirmed cases of the COVID-19 were found in Beijing. We analyzed the data of 262 confirmed cases to determine the clinical and epidemiological characteristics of COVID-19 in Beijing.</AbstractText>
<AbstractText Label="METHODS">We collected patients who were transferred by Beijing Emergency Medical Service to the designated hospitals. The information on demographic, epidemiological, clinical, laboratory test for the COVID-19 virus, diagnostic classification, cluster case and outcome were obtained. Furthermore we compared the characteristics between severe and common confirmed cases which including mild cases, no-pneumonia cases and asymptomatic cases, and we also compared the features between COVID-19 and 2003 SARS.</AbstractText>
<AbstractText Label="FINDINGS">By Feb 10, 2020, 262 patients were transferred from the hospitals across Beijing to the designated hospitals for special treatment of the COVID-19 infected by Beijing emergency medical service. Among of 262 patients, 46 (17.6%) were severe cases, 216 (82.4%) were common cases, which including 192 (73.3%) mild cases, 11(4.2%) non-pneumonia cases and 13 (5.0%) asymptomatic cases respectively. The median age of patients was 47.5 years old and 48.5% were male. 192 (73.3%) patients were residents of Beijing, 50 (26.0%) of which had been to Wuhan, 116 (60.4%) had close contact with confirmed cases, 21 (10.9%) had no contact history. The most common symptoms at the onset of illness were fever (82.1%), cough (45.8%), fatigue (26.3%), dyspnea (6.9%) and headache (6.5%). The median incubation period was 6.7 days, the interval time from between illness onset and seeing a doctor was 4.5 days. As of Feb 10, 17.2% patients have discharged and 81.7% patients remain in hospital in our study, the fatality of COVID-19 infection in Beijing was 0.9%.</AbstractText>
<AbstractText Label="INTERPRETATION">On the basis of this study, we provided the ratio of the COVID-19 infection on the severe cases to the mild, asymptomatic and non-pneumonia cases in Beijing. Population was generally susceptible, and with a relatively low fatality rate. The measures to prevent transmission was very successful at early stage, the next steps on the COVID-19 infection should be focused on early isolation of patients and quarantine for close contacts in families and communities in Beijing.</AbstractText>
<AbstractText Label="FUNDING">Beijing Municipal Science and Technology Commission and Ministry of Science and Technology.</AbstractText>
<CopyrightInformation>Copyright © 2020 Elsevier Ltd. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Tian</LastName>
<ForeName>Sijia</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Beijing Emergency Medicine Research Institute, Beijing Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hu</LastName>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Lou</LastName>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Kun</ForeName>
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<AffiliationInfo><Affiliation>Beijing Chao Yang District Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Kang</LastName>
<ForeName>Xuqin</ForeName>
<Initials>X</Initials>
<AffiliationInfo><Affiliation>Beijing Emergency Medicine Research Institute, Beijing Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Xiang</LastName>
<ForeName>Zhenjun</ForeName>
<Initials>Z</Initials>
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</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Hui</ForeName>
<Initials>H</Initials>
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</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wang</LastName>
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</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Liu</LastName>
<ForeName>Ning</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Beijing Luhe Hospital, Capital Medical University, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Liu</LastName>
<ForeName>Dong</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Beijing Dongcheng District Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Gang</ForeName>
<Initials>G</Initials>
<AffiliationInfo><Affiliation>Beijing Shijingshan District Hospital, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Yongliang</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>Beijing Daxing District People's Hospital, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Dou</ForeName>
<Initials>D</Initials>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Li</LastName>
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<Author ValidYN="Y"><LastName>Lian</LastName>
<ForeName>Huixin</ForeName>
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</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Niu</LastName>
<ForeName>Shengmei</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Beijing Emergency Medicine Research Institute, Beijing Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Luxi</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Beijing Emergency Medicine Research Institute, Beijing Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Zhang</LastName>
<ForeName>Jinjun</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Beijing Emergency Medicine Research Institute, Beijing Emergency Medical Center, Beijing, China. Electronic address: zhang92560@163.com.</Affiliation>
</AffiliationInfo>
</Author>
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<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
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<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>02</Month>
<Day>27</Day>
</ArticleDate>
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<MedlineJournalInfo><Country>England</Country>
<MedlineTA>J Infect</MedlineTA>
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<MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName>
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<MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName>
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<MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000503" MajorTopicYN="Y">physiopathology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012189" MajorTopicYN="N">Retrospective Studies</DescriptorName>
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<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
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<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">2019-nCoV</Keyword>
<Keyword MajorTopicYN="Y">Beijing</Keyword>
<Keyword MajorTopicYN="Y">COVID-19</Keyword>
<Keyword MajorTopicYN="Y">Characteristics</Keyword>
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<CoiStatement>Declaration of Competing Interest All authors declare no competing interests.</CoiStatement>
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<Day>19</Day>
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<Month>02</Month>
<Day>21</Day>
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<ArticleId IdType="doi">10.1016/j.jinf.2020.02.018</ArticleId>
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