[The preliminary analysis on the characteristics of the cluster for the Corona Virus Disease].
Identifieur interne : 000013 ( an2020/Analysis ); précédent : 000012; suivant : 000014[The preliminary analysis on the characteristics of the cluster for the Corona Virus Disease].
Auteurs : H Y Yang [République populaire de Chine] ; J. Xu [République populaire de Chine] ; Y. Li [République populaire de Chine] ; X. Liang [République populaire de Chine] ; Y F Jin [République populaire de Chine] ; S Y Chen [République populaire de Chine] ; R G Zhang [République populaire de Chine] ; W D Zhang [République populaire de Chine] ; G C Duan [République populaire de Chine]Source :
- Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi [ 0254-6450 ] ; 2020.
Abstract
Since December 2019, Corona Virus Disease (COVID-19), a new emerging infection disease occurred in Wuhan, has spread in 27 countries and regions. The clusters of many cases were reported with the epidemic progresses. We collected currently available information for 377 COVID-19 clusters (1 719 cases), excluded the hospital clusters and Hubei cases, during the period from January 1, 2020 to February 20, 2020. There were 297 family clusters (79%), case median 4; 39 clusters of dining (10%), case median 5; 23 clusters of shopping malls or supermarkets (6%), case median 13; 12 clusters of work units (3%), case median 6, and 6 clusters of transportation. We selected 325 cases to estimate the incubation period and found its range is 1 to 20 days, median was 7 days, and mode was 4 days. The analysis of the epidemic situation in a department store in China indicates that there is a possibility of patients as the source of infection during the incubation period of the epidemic. From February 5, 2020 to February 21, 2020, 634 persons were infected in the Diamond Princess Liner. All persons are susceptible to SARS-CoV-2. The older, patients during the incubation period and the worse environment may be the cause of the cases rising. The progress of the two typical outbreaks clearly demonstrates the spread of the early cases in Wuhan. Whatever happens, screening and isolating close contacts remains essential except for clinical treatment during the epidemic. Especially for the healthy people in the epidemic area, isolation is the key.
DOI: 10.3760/cma.j.cn112338-20200223-00153
PubMed: 32145716
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: 000203
- to stream PubMed, to step Curation: 000203
- to stream PubMed, to step Checkpoint: 000005
- to stream Ncbi, to step Merge: 000C13
- to stream Ncbi, to step Curation: 000C13
- to stream Ncbi, to step Checkpoint: 000C13
- to stream Main, to step Merge: 000013
- to stream Main, to step Curation: 000013
- to stream Main, to step Exploration: 000013
- to stream an2020, to step Extraction: 000013
Links to Exploration step
pubmed:32145716Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">[The preliminary analysis on the characteristics of the cluster for the Corona Virus Disease].</title><author><name sortKey="Yang, H Y" sort="Yang, H Y" uniqKey="Yang H" first="H Y" last="Yang">H Y Yang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Xu, J" sort="Xu, J" uniqKey="Xu J" first="J" last="Xu">J. Xu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Li, Y" sort="Li, Y" uniqKey="Li Y" first="Y" last="Li">Y. Li</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Liang, X" sort="Liang, X" uniqKey="Liang X" first="X" last="Liang">X. Liang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Jin, Y F" sort="Jin, Y F" uniqKey="Jin Y" first="Y F" last="Jin">Y F Jin</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Chen, S Y" sort="Chen, S Y" uniqKey="Chen S" first="S Y" last="Chen">S Y Chen</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, R G" sort="Zhang, R G" uniqKey="Zhang R" first="R G" last="Zhang">R G Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, W D" sort="Zhang, W D" uniqKey="Zhang W" first="W D" last="Zhang">W D Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Duan, G C" sort="Duan, G C" uniqKey="Duan G" first="G C" last="Duan">G C Duan</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32145716</idno><idno type="pmid">32145716</idno><idno type="doi">10.3760/cma.j.cn112338-20200223-00153</idno><idno type="wicri:Area/PubMed/Corpus">000203</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000203</idno><idno type="wicri:Area/PubMed/Curation">000203</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">000203</idno><idno type="wicri:Area/PubMed/Checkpoint">000005</idno><idno type="wicri:explorRef" wicri:stream="Checkpoint" wicri:step="PubMed">000005</idno><idno type="wicri:Area/Ncbi/Merge">000C13</idno><idno type="wicri:Area/Ncbi/Curation">000C13</idno><idno type="wicri:Area/Ncbi/Checkpoint">000C13</idno><idno type="wicri:doubleKey">0254-6450:2020:Yang H:the:preliminary:analysis</idno><idno type="wicri:Area/Main/Merge">000013</idno><idno type="wicri:Area/Main/Curation">000013</idno><idno type="wicri:Area/Main/Exploration">000013</idno><idno type="wicri:Area/an2020/Extraction">000013</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">[The preliminary analysis on the characteristics of the cluster for the Corona Virus Disease].</title><author><name sortKey="Yang, H Y" sort="Yang, H Y" uniqKey="Yang H" first="H Y" last="Yang">H Y Yang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Xu, J" sort="Xu, J" uniqKey="Xu J" first="J" last="Xu">J. Xu</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Li, Y" sort="Li, Y" uniqKey="Li Y" first="Y" last="Li">Y. Li</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Liang, X" sort="Liang, X" uniqKey="Liang X" first="X" last="Liang">X. Liang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Jin, Y F" sort="Jin, Y F" uniqKey="Jin Y" first="Y F" last="Jin">Y F Jin</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Chen, S Y" sort="Chen, S Y" uniqKey="Chen S" first="S Y" last="Chen">S Y Chen</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, R G" sort="Zhang, R G" uniqKey="Zhang R" first="R G" last="Zhang">R G Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, W D" sort="Zhang, W D" uniqKey="Zhang W" first="W D" last="Zhang">W D Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author><author><name sortKey="Duan, G C" sort="Duan, G C" uniqKey="Duan G" first="G C" last="Duan">G C Duan</name><affiliation wicri:level="1"><nlm:affiliation>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Department of Epidemiology, School of Public Health, Zhengzhou University, Zhengzhou 450001</wicri:regionArea><wicri:noRegion>Zhengzhou 450001</wicri:noRegion></affiliation></author></analytic><series><title level="j">Zhonghua liu xing bing xue za zhi = Zhonghua liuxingbingxue zazhi</title><idno type="ISSN">0254-6450</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Since December 2019, Corona Virus Disease (COVID-19), a new emerging infection disease occurred in Wuhan, has spread in 27 countries and regions. The clusters of many cases were reported with the epidemic progresses. We collected currently available information for 377 COVID-19 clusters (1 719 cases), excluded the hospital clusters and Hubei cases, during the period from January 1, 2020 to February 20, 2020. There were 297 family clusters (79%), case median 4; 39 clusters of dining (10%), case median 5; 23 clusters of shopping malls or supermarkets (6%), case median 13; 12 clusters of work units (3%), case median 6, and 6 clusters of transportation. We selected 325 cases to estimate the incubation period and found its range is 1 to 20 days, median was 7 days, and mode was 4 days. The analysis of the epidemic situation in a department store in China indicates that there is a possibility of patients as the source of infection during the incubation period of the epidemic. From February 5, 2020 to February 21, 2020, 634 persons were infected in the Diamond Princess Liner. All persons are susceptible to SARS-CoV-2. The older, patients during the incubation period and the worse environment may be the cause of the cases rising. The progress of the two typical outbreaks clearly demonstrates the spread of the early cases in Wuhan. Whatever happens, screening and isolating close contacts remains essential except for clinical treatment during the epidemic. Especially for the healthy people in the epidemic area, isolation is the key.</div></front></TEI><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Yang, H Y" sort="Yang, H Y" uniqKey="Yang H" first="H Y" last="Yang">H Y Yang</name></noRegion><name sortKey="Chen, S Y" sort="Chen, S Y" uniqKey="Chen S" first="S Y" last="Chen">S Y Chen</name><name sortKey="Duan, G C" sort="Duan, G C" uniqKey="Duan G" first="G C" last="Duan">G C Duan</name><name sortKey="Jin, Y F" sort="Jin, Y F" uniqKey="Jin Y" first="Y F" last="Jin">Y F Jin</name><name sortKey="Li, Y" sort="Li, Y" uniqKey="Li Y" first="Y" last="Li">Y. Li</name><name sortKey="Liang, X" sort="Liang, X" uniqKey="Liang X" first="X" last="Liang">X. Liang</name><name sortKey="Xu, J" sort="Xu, J" uniqKey="Xu J" first="J" last="Xu">J. Xu</name><name sortKey="Zhang, R G" sort="Zhang, R G" uniqKey="Zhang R" first="R G" last="Zhang">R G Zhang</name><name sortKey="Zhang, W D" sort="Zhang, W D" uniqKey="Zhang W" first="W D" last="Zhang">W D Zhang</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/CovidV1/Data/an2020/Analysis
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000013 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/an2020/Analysis/biblio.hfd -nk 000013 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Sante
|area= CovidV1
|flux= an2020
|étape= Analysis
|type= RBID
|clé= pubmed:32145716
|texte= [The preliminary analysis on the characteristics of the cluster for the Corona Virus Disease].
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/an2020/Analysis/RBID.i -Sk "pubmed:32145716" \
| HfdSelect -Kh $EXPLOR_AREA/Data/an2020/Analysis/biblio.hfd \
| NlmPubMed2Wicri -a CovidV1
| This area was generated with Dilib version V0.6.33. |  |