SrasV1, Pmc, Curation, bibRecord, 001183

Characteristics of COVID-19 infection in Beijing

Identifieur interne : 001183 ( Pmc/Curation ); précédent : 001182; suivant : 001184

Characteristics of COVID-19 infection in Beijing

Source :

The Journal of Infection [ 0163-4453 ] ; 2020.

RBID : PMC:7102527

Abstract

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.

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.

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%.

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.

Funding

Beijing Municipal Science and Technology Commission and Ministry of Science and Technology.

Url:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7102527

DOI: 10.1016/j.jinf.2020.02.018
PubMed: 32112886
PubMed Central: 7102527

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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="Zhang, Yongliang" sort="Zhang, Yongliang" uniqKey="Zhang Y" first="Yongliang" last="Zhang">Yongliang Zhang</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="Zhang, Yongliang" sort="Zhang, Yongliang" uniqKey="Zhang Y" first="Yongliang" last="Zhang">Yongliang 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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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Beijing Emergency Medical Center, Beijing</wicri:regionArea>
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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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<country xml:lang="fr">République populaire de Chine</country>
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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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<country xml:lang="fr">République populaire de Chine</country>
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<country xml:lang="fr">République populaire de Chine</country>
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<series><title level="j">The Journal of Infection</title>
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<front><div type="abstract" xml:lang="en"><sec><title>Background</title>
<p>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.</p>
</sec>
<sec><title>Methods</title>
<p>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.</p>
</sec>
<sec><title>Findings</title>
<p>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%.</p>
</sec>
<sec><title>Interpretation</title>
<p>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.</p>
</sec>
<sec><title>Funding</title>
<p>Beijing Municipal Science and Technology Commission and Ministry of Science and Technology.</p>
</sec>
</div>
</front>
<back><div1 type="bibliography"><listBibl><biblStruct></biblStruct>
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</analytic>
</biblStruct>
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<biblStruct><analytic><author><name sortKey="Wu, J T" uniqKey="Wu J">J.T. Wu</name>
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</listBibl>
</div1>
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</TEI>
<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
  <front><journal-meta><journal-id journal-id-type="nlm-ta">J Infect</journal-id>
<journal-id journal-id-type="iso-abbrev">J. Infect</journal-id>
<journal-title-group><journal-title>The Journal of Infection</journal-title>
</journal-title-group>
<issn pub-type="ppub">0163-4453</issn>
<issn pub-type="epub">1532-2742</issn>
<publisher><publisher-name>The British Infection Association. Published by Elsevier Ltd.</publisher-name>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">32112886</article-id>
<article-id pub-id-type="pmc">7102527</article-id>
<article-id pub-id-type="publisher-id">S0163-4453(20)30101-8</article-id>
<article-id pub-id-type="doi">10.1016/j.jinf.2020.02.018</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Characteristics of COVID-19 infection in Beijing</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" id="au0001"><name><surname>Tian</surname>
<given-names>Sijia</given-names>
</name>
<xref rid="aff0001" ref-type="aff">a</xref>
<xref rid="fn1" ref-type="fn">1</xref>
</contrib>
<contrib contrib-type="author" id="au0002"><name><surname>Hu</surname>
<given-names>Nan</given-names>
</name>
<xref rid="aff0002" ref-type="aff">b</xref>
<xref rid="fn1" ref-type="fn">1</xref>
</contrib>
<contrib contrib-type="author" id="au0003"><name><surname>Lou</surname>
<given-names>Jing</given-names>
</name>
<xref rid="aff0001" ref-type="aff">a</xref>
<xref rid="fn1" ref-type="fn">1</xref>
</contrib>
<contrib contrib-type="author" id="au0004"><name><surname>Chen</surname>
<given-names>Kun</given-names>
</name>
<xref rid="aff0003" ref-type="aff">c</xref>
<xref rid="fn1" ref-type="fn">1</xref>
</contrib>
<contrib contrib-type="author" id="au0005"><name><surname>Kang</surname>
<given-names>Xuqin</given-names>
</name>
<xref rid="aff0001" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au0006"><name><surname>Xiang</surname>
<given-names>Zhenjun</given-names>
</name>
<xref rid="aff0002" ref-type="aff">b</xref>
</contrib>
<contrib contrib-type="author" id="au0007"><name><surname>Chen</surname>
<given-names>Hui</given-names>
</name>
<xref rid="aff0002" ref-type="aff">b</xref>
</contrib>
<contrib contrib-type="author" id="au0008"><name><surname>Wang</surname>
<given-names>Dali</given-names>
</name>
<xref rid="aff0004" ref-type="aff">d</xref>
</contrib>
<contrib contrib-type="author" id="au0009"><name><surname>Liu</surname>
<given-names>Ning</given-names>
</name>
<xref rid="aff0005" ref-type="aff">e</xref>
</contrib>
<contrib contrib-type="author" id="au0010"><name><surname>Liu</surname>
<given-names>Dong</given-names>
</name>
<xref rid="aff0006" ref-type="aff">f</xref>
</contrib>
<contrib contrib-type="author" id="au0011"><name><surname>Chen</surname>
<given-names>Gang</given-names>
</name>
<xref rid="aff0007" ref-type="aff">g</xref>
</contrib>
<contrib contrib-type="author" id="au0012"><name><surname>Zhang</surname>
<given-names>Yongliang</given-names>
</name>
<xref rid="aff0008" ref-type="aff">h</xref>
</contrib>
<contrib contrib-type="author" id="au0013"><name><surname>Li</surname>
<given-names>Dou</given-names>
</name>
<xref rid="aff0002" ref-type="aff">b</xref>
</contrib>
<contrib contrib-type="author" id="au0014"><name><surname>Li</surname>
<given-names>Jianren</given-names>
</name>
<xref rid="aff0002" ref-type="aff">b</xref>
</contrib>
<contrib contrib-type="author" id="au0015"><name><surname>Lian</surname>
<given-names>Huixin</given-names>
</name>
<xref rid="aff0001" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au0016"><name><surname>Niu</surname>
<given-names>Shengmei</given-names>
</name>
<xref rid="aff0001" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au0017"><name><surname>Zhang</surname>
<given-names>Luxi</given-names>
</name>
<xref rid="aff0001" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au0018"><name><surname>Zhang</surname>
<given-names>Jinjun</given-names>
</name>
<email>zhang92560@163.com</email>
<xref rid="aff0001" ref-type="aff">a</xref>
<xref rid="cor0001" ref-type="corresp">⁎</xref>
</contrib>
</contrib-group>
<aff id="aff0001"><label>a</label>
Beijing Emergency Medicine Research Institute, Beijing Emergency Medical Center, Beijing, China</aff>
<aff id="aff0002"><label>b</label>
Beijing Emergency Medical Center, Beijing, China</aff>
<aff id="aff0003"><label>c</label>
Beijing Chao Yang District Emergency Medical Center, Beijing, China</aff>
<aff id="aff0004"><label>d</label>
Beijing Haidian District Medical Rescue Center, Beijing, China</aff>
<aff id="aff0005"><label>e</label>
Beijing Luhe Hospital, Capital Medical University, Beijing, China</aff>
<aff id="aff0006"><label>f</label>
Beijing Dongcheng District Emergency Medical Center, Beijing, China</aff>
<aff id="aff0007"><label>g</label>
Beijing Shijingshan District Hospital, Beijing, China</aff>
<aff id="aff0008"><label>h</label>
Beijing Daxing District People's Hospital, Beijing, China</aff>
<author-notes><corresp id="cor0001"><label>⁎</label>
Corresponding author: Beijing Emergency Medicine Research Institute, Beijing Emergency Medical Center, Beijing 100031, China. <email>zhang92560@163.com</email>
</corresp>
<fn id="fn1"><label>1</label>
<p id="notep0001">S. Tian, N. Hu, J. Lou and K. Chen contributed equally to this article.</p>
</fn>
</author-notes>
<pub-date pub-type="pmc-release"><day>27</day>
<month>2</month>
<year>2020</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
      <pub-date pub-type="ppub"><month>4</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub"><day>27</day>
<month>2</month>
<year>2020</year>
</pub-date>
<volume>80</volume>
<issue>4</issue>
<fpage>401</fpage>
<lpage>406</lpage>
<history><date date-type="accepted"><day>21</day>
<month>2</month>
<year>2020</year>
</date>
</history>
<permissions><copyright-statement>© 2020 The British Infection Association. Published by Elsevier Ltd. All rights reserved.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Elsevier Ltd</copyright-holder>
<license><license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p>
</license>
</permissions>
<abstract id="abs0001"><sec><title>Background</title>
<p>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.</p>
</sec>
<sec><title>Methods</title>
<p>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.</p>
</sec>
<sec><title>Findings</title>
<p>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%.</p>
</sec>
<sec><title>Interpretation</title>
<p>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.</p>
</sec>
<sec><title>Funding</title>
<p>Beijing Municipal Science and Technology Commission and Ministry of Science and Technology.</p>
</sec>
</abstract>
<kwd-group id="keys0001"><title>Keywords</title>
<kwd>COVID-19</kwd>
<kwd>2019-nCoV</kwd>
<kwd>Characteristics</kwd>
<kwd>Beijing</kwd>
</kwd-group>
</article-meta>
</front>
</pmc>
</record>

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Characteristics of COVID-19 infection in Beijing

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