CovidV1, Ncbi, Merge, bibRecord, 000A18

Characteristics of COVID-19 infection in Beijing.

Identifieur interne : 000A18 ( Ncbi/Merge ); précédent : 000A17; suivant : 000A19

Characteristics of COVID-19 infection in Beijing.

Source :

The Journal of infection [ 1532-2742 ] ; 2020.

RBID : pubmed:32112886

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

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pubmed:32112886

Le document en format XML

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<author><name sortKey="Tian, Sijia" sort="Tian, Sijia" uniqKey="Tian S" first="Sijia" last="Tian">Sijia Tian</name>
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<country xml:lang="fr">République populaire de Chine</country>
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<author><name sortKey="Hu, Nan" sort="Hu, Nan" uniqKey="Hu N" first="Nan" last="Hu">Nan Hu</name>
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<author><name sortKey="Lou, Jing" sort="Lou, Jing" uniqKey="Lou J" first="Jing" last="Lou">Jing Lou</name>
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<author><name sortKey="Chen, Kun" sort="Chen, Kun" uniqKey="Chen K" first="Kun" last="Chen">Kun Chen</name>
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<author><name sortKey="Wang, Dali" sort="Wang, Dali" uniqKey="Wang D" first="Dali" last="Wang">Dali Wang</name>
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<author><name sortKey="Liu, Ning" sort="Liu, Ning" uniqKey="Liu N" first="Ning" last="Liu">Ning Liu</name>
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<author><name sortKey="Liu, Dong" sort="Liu, Dong" uniqKey="Liu D" first="Dong" last="Liu">Dong Liu</name>
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<author><name sortKey="Li, Dou" sort="Li, Dou" uniqKey="Li D" first="Dou" last="Li">Dou Li</name>
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<author><name sortKey="Zhang, Luxi" sort="Zhang, Luxi" uniqKey="Zhang L" first="Luxi" last="Zhang">Luxi Zhang</name>
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<author><name sortKey="Zhang, Jinjun" sort="Zhang, Jinjun" uniqKey="Zhang J" first="Jinjun" last="Zhang">Jinjun Zhang</name>
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<author><name sortKey="Li, Dou" sort="Li, Dou" uniqKey="Li D" first="Dou" last="Li">Dou Li</name>
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<author><name sortKey="Li, Jianren" sort="Li, Jianren" uniqKey="Li J" first="Jianren" last="Li">Jianren Li</name>
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<author><name sortKey="Lian, Huixin" sort="Lian, Huixin" uniqKey="Lian H" first="Huixin" last="Lian">Huixin Lian</name>
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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="Publisher" Owner="NLM"><PMID Version="1">32112886</PMID>
<DateRevised><Year>2020</Year>
<Month>03</Month>
<Day>06</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1532-2742</ISSN>
<JournalIssue CitedMedium="Internet"><PubDate><Year>2020</Year>
<Month>Feb</Month>
<Day>27</Day>
</PubDate>
</JournalIssue>
<Title>The Journal of infection</Title>
<ISOAbbreviation>J. Infect.</ISOAbbreviation>
</Journal>
<ArticleTitle>Characteristics of COVID-19 infection in Beijing.</ArticleTitle>
<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" NlmCategory="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" NlmCategory="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" NlmCategory="RESULTS">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" NlmCategory="CONCLUSIONS">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" NlmCategory="BACKGROUND">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>
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<ForeName>Nan</ForeName>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Lou</LastName>
<ForeName>Jing</ForeName>
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<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Kun</ForeName>
<Initials>K</Initials>
<AffiliationInfo><Affiliation>Beijing Chao Yang District Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<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>
<AffiliationInfo><Affiliation>Beijing Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Hui</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Beijing Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wang</LastName>
<ForeName>Dali</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Beijing Haidian District Medical Rescue Center, Beijing, China.</Affiliation>
</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>
<AffiliationInfo><Affiliation>Beijing Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Li</LastName>
<ForeName>Jianren</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Beijing Emergency Medical Center, Beijing, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Lian</LastName>
<ForeName>Huixin</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Beijing Emergency Medicine Research Institute, Beijing Emergency Medical Center, Beijing, China.</Affiliation>
</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>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>02</Month>
<Day>27</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>J Infect</MedlineTA>
<NlmUniqueID>7908424</NlmUniqueID>
<ISSNLinking>0163-4453</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">2019-nCoV</Keyword>
<Keyword MajorTopicYN="N">Beijing</Keyword>
<Keyword MajorTopicYN="N">COVID-19</Keyword>
<Keyword MajorTopicYN="N">Characteristics</Keyword>
</KeywordList>
<CoiStatement>Declaration of Competing Interest All authors declare no competing interests.</CoiStatement>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year>
<Month>02</Month>
<Day>19</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>02</Month>
<Day>21</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>3</Month>
<Day>1</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>3</Month>
<Day>1</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>3</Month>
<Day>1</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>aheadofprint</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32112886</ArticleId>
<ArticleId IdType="pii">S0163-4453(20)30101-8</ArticleId>
<ArticleId IdType="doi">10.1016/j.jinf.2020.02.018</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
<settlement><li>Pékin</li>
</settlement>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Tian, Sijia" sort="Tian, Sijia" uniqKey="Tian S" first="Sijia" last="Tian">Sijia Tian</name>
</noRegion>
<name sortKey="Chen, Gang" sort="Chen, Gang" uniqKey="Chen G" first="Gang" last="Chen">Gang Chen</name>
<name sortKey="Chen, Hui" sort="Chen, Hui" uniqKey="Chen H" first="Hui" last="Chen">Hui Chen</name>
<name sortKey="Chen, Kun" sort="Chen, Kun" uniqKey="Chen K" first="Kun" last="Chen">Kun Chen</name>
<name sortKey="Hu, Nan" sort="Hu, Nan" uniqKey="Hu N" first="Nan" last="Hu">Nan Hu</name>
<name sortKey="Kang, Xuqin" sort="Kang, Xuqin" uniqKey="Kang X" first="Xuqin" last="Kang">Xuqin Kang</name>
<name sortKey="Li, Dou" sort="Li, Dou" uniqKey="Li D" first="Dou" last="Li">Dou Li</name>
<name sortKey="Li, Jianren" sort="Li, Jianren" uniqKey="Li J" first="Jianren" last="Li">Jianren Li</name>
<name sortKey="Lian, Huixin" sort="Lian, Huixin" uniqKey="Lian H" first="Huixin" last="Lian">Huixin Lian</name>
<name sortKey="Liu, Dong" sort="Liu, Dong" uniqKey="Liu D" first="Dong" last="Liu">Dong Liu</name>
<name sortKey="Liu, Ning" sort="Liu, Ning" uniqKey="Liu N" first="Ning" last="Liu">Ning Liu</name>
<name sortKey="Lou, Jing" sort="Lou, Jing" uniqKey="Lou J" first="Jing" last="Lou">Jing Lou</name>
<name sortKey="Niu, Shengmei" sort="Niu, Shengmei" uniqKey="Niu S" first="Shengmei" last="Niu">Shengmei Niu</name>
<name sortKey="Wang, Dali" sort="Wang, Dali" uniqKey="Wang D" first="Dali" last="Wang">Dali Wang</name>
<name sortKey="Xiang, Zhenjun" sort="Xiang, Zhenjun" uniqKey="Xiang Z" first="Zhenjun" last="Xiang">Zhenjun Xiang</name>
<name sortKey="Zhang, Jinjun" sort="Zhang, Jinjun" uniqKey="Zhang J" first="Jinjun" last="Zhang">Jinjun Zhang</name>
<name sortKey="Zhang, Luxi" sort="Zhang, Luxi" uniqKey="Zhang L" first="Luxi" last="Zhang">Luxi Zhang</name>
<name sortKey="Zhang, Yongliang" sort="Zhang, Yongliang" uniqKey="Zhang Y" first="Yongliang" last="Zhang">Yongliang Zhang</name>
</country>
</tree>
</affiliations>
</record>

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Characteristics of COVID-19 infection in Beijing.

Characteristics of COVID-19 infection in Beijing.

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