COVID-19 outbreak prevention by early containment in Shantou, China.
Identifieur interne : 000857 ( Main/Exploration ); précédent : 000856; suivant : 000858COVID-19 outbreak prevention by early containment in Shantou, China.
Auteurs : Xubin Zhang [République populaire de Chine] ; Dangui Zhang [République populaire de Chine] ; Chi Zhang [République populaire de Chine] ; Lijun Yao [République populaire de Chine] ; Lu Xu [République populaire de Chine] ; Gengna Chen [République populaire de Chine] ; Zhaohui Liao [République populaire de Chine] ; Xunyi Zhu [République populaire de Chine] ; Wenda Yang [République populaire de Chine] ; Weinan Li [République populaire de Chine]Source :
- Journal of infection in developing countries [ 1972-2680 ] ; 2020.
Descripteurs français
- KwdFr :
- Adulte (MeSH), Adulte d'âge moyen (MeSH), Betacoronavirus (MeSH), Chine (épidémiologie), Facteurs socioéconomiques (MeSH), Famille (MeSH), Femelle (MeSH), Humains (MeSH), Infections à coronavirus (diagnostic), Infections à coronavirus (prévention et contrôle), Infections à coronavirus (épidémiologie), Mâle (MeSH), Pandémies (prévention et contrôle), Pneumopathie virale (diagnostic), Pneumopathie virale (prévention et contrôle), Pneumopathie virale (épidémiologie), Sujet âgé (MeSH), Techniques de laboratoire clinique (MeSH), Traçage des contacts (MeSH), Épidémies de maladies (prévention et contrôle).
- MESH :
- diagnostic : Infections à coronavirus, Pneumopathie virale.
- prévention et contrôle : Infections à coronavirus, Pandémies, Pneumopathie virale, Épidémies de maladies.
- épidémiologie : Chine, Infections à coronavirus, Pneumopathie virale.
- Adulte, Adulte d'âge moyen, Betacoronavirus, Facteurs socioéconomiques, Famille, Femelle, Humains, Mâle, Sujet âgé, Techniques de laboratoire clinique, Traçage des contacts.
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- Adult (MeSH), Aged (MeSH), Betacoronavirus (MeSH), China (epidemiology), Clinical Laboratory Techniques (MeSH), Contact Tracing (MeSH), Coronavirus Infections (diagnosis), Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Disease Outbreaks (prevention & control), Family (MeSH), Female (MeSH), Humans (MeSH), Male (MeSH), Middle Aged (MeSH), Pandemics (prevention & control), Pneumonia, Viral (diagnosis), Pneumonia, Viral (epidemiology), Pneumonia, Viral (prevention & control), Socioeconomic Factors (MeSH).
- MESH :
- geographic , epidemiology : China.
- diagnosis : Coronavirus Infections, Pneumonia, Viral.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- prevention & control : Coronavirus Infections, Disease Outbreaks, Pandemics, Pneumonia, Viral.
- Adult, Aged, Betacoronavirus, Clinical Laboratory Techniques, Contact Tracing, Family, Female, Humans, Male, Middle Aged, Socioeconomic Factors.
Abstract
INTRODUCTION
To report about the successful outbreak containment of COVID-19 in Shantou, one of the prefectural cities of Guangdong province in the mainland China.
METHODOLOGY
All patients confirmed as having COVID-19 between 23 January and 25 March 2020 by RT-PCR assay in the clinical lab of Shantou CDC were included and divided into three groups based on the source of identification: hospital diagnosis, contact tracing, and community screening. Collected data was analyzed and compared among these three groups.
RESULTS
A total of 25 COVID-19 cases were identified in Shantou. The first case was identified on 14 January 2020 at one of two COVID-19 dedicated hospitals in Shantou. The majority of the cases were either imported from Wuhan or linked to Wuhan/Hubei. The median lag time for diagnosis (i.e., the time between symptom onset and case confirmation) was 2 days (IQR, 2.0-4.0) for all cases, 9 days (IQR, 7.0-10.0) for the cases diagnosed in hospitals, 2 days (IQR, 1.5-2.0) for the cases in contact tracing, and 4 days (IQR, 2.5-4.5) for cases in community screening, with a significantly longer diagnosis lag time in hospitals (p = 0.003). Multivariate linear regression models showed larger family size and severe cases as the significant predictor for increasing number of close contacts.
CONCLUSIONS
The current pandemic appears to exist for an uncertain period. The early containment measures applied in Shantou, a city with insufficient healthcare resources for COVID-19, seems to be appropriate for cities or areas with similar profiles.
DOI: 10.3855/jidc.13121
PubMed: 32794464
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">COVID-19 outbreak prevention by early containment in Shantou, China.</title><author><name sortKey="Zhang, Xubin" sort="Zhang, Xubin" uniqKey="Zhang X" first="Xubin" last="Zhang">Xubin Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 306458072@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Dangui" sort="Zhang, Dangui" uniqKey="Zhang D" first="Dangui" last="Zhang">Dangui Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Research Center of Translational Medicine, Second Affiliated Hospital of Shantou University Medical College, Shantou, China. danguizhang@stu.edu.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Research Center of Translational Medicine, Second Affiliated Hospital of Shantou University Medical College, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Chi" sort="Zhang, Chi" uniqKey="Zhang C" first="Chi" last="Zhang">Chi Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 247400881@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Yao, Lijun" sort="Yao, Lijun" uniqKey="Yao L" first="Lijun" last="Yao">Lijun Yao</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 58916306@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Xu, Lu" sort="Xu, Lu" uniqKey="Xu L" first="Lu" last="Xu">Lu Xu</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. xulu4309@126.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Chen, Gengna" sort="Chen, Gengna" uniqKey="Chen G" first="Gengna" last="Chen">Gengna Chen</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 329927547@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Liao, Zhaohui" sort="Liao, Zhaohui" uniqKey="Liao Z" first="Zhaohui" last="Liao">Zhaohui Liao</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 276430999@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Zhu, Xunyi" sort="Zhu, Xunyi" uniqKey="Zhu X" first="Xunyi" last="Zhu">Xunyi Zhu</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 313273404@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Yang, Wenda" sort="Yang, Wenda" uniqKey="Yang W" first="Wenda" last="Yang">Wenda Yang</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 363325747@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Li, Weinan" sort="Li, Weinan" uniqKey="Li W" first="Weinan" last="Li">Weinan Li</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 2457859820@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32794464</idno><idno type="pmid">32794464</idno><idno type="doi">10.3855/jidc.13121</idno><idno type="wicri:Area/Main/Corpus">000653</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000653</idno><idno type="wicri:Area/Main/Curation">000653</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">000653</idno><idno type="wicri:Area/Main/Exploration">000653</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">COVID-19 outbreak prevention by early containment in Shantou, China.</title><author><name sortKey="Zhang, Xubin" sort="Zhang, Xubin" uniqKey="Zhang X" first="Xubin" last="Zhang">Xubin Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 306458072@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Dangui" sort="Zhang, Dangui" uniqKey="Zhang D" first="Dangui" last="Zhang">Dangui Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Research Center of Translational Medicine, Second Affiliated Hospital of Shantou University Medical College, Shantou, China. danguizhang@stu.edu.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Research Center of Translational Medicine, Second Affiliated Hospital of Shantou University Medical College, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Zhang, Chi" sort="Zhang, Chi" uniqKey="Zhang C" first="Chi" last="Zhang">Chi Zhang</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 247400881@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Yao, Lijun" sort="Yao, Lijun" uniqKey="Yao L" first="Lijun" last="Yao">Lijun Yao</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 58916306@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Xu, Lu" sort="Xu, Lu" uniqKey="Xu L" first="Lu" last="Xu">Lu Xu</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. xulu4309@126.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Chen, Gengna" sort="Chen, Gengna" uniqKey="Chen G" first="Gengna" last="Chen">Gengna Chen</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 329927547@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Liao, Zhaohui" sort="Liao, Zhaohui" uniqKey="Liao Z" first="Zhaohui" last="Liao">Zhaohui Liao</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 276430999@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Zhu, Xunyi" sort="Zhu, Xunyi" uniqKey="Zhu X" first="Xunyi" last="Zhu">Xunyi Zhu</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 313273404@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Yang, Wenda" sort="Yang, Wenda" uniqKey="Yang W" first="Wenda" last="Yang">Wenda Yang</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 363325747@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author><author><name sortKey="Li, Weinan" sort="Li, Weinan" uniqKey="Li W" first="Weinan" last="Li">Weinan Li</name><affiliation wicri:level="1"><nlm:affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 2457859820@qq.com.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Center of Diseases Control and Prevention in Shantou, Shantou</wicri:regionArea><wicri:noRegion>Shantou</wicri:noRegion></affiliation></author></analytic><series><title level="j">Journal of infection in developing countries</title><idno type="eISSN">1972-2680</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adult (MeSH)</term><term>Aged (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>China (epidemiology)</term><term>Clinical Laboratory Techniques (MeSH)</term><term>Contact Tracing (MeSH)</term><term>Coronavirus Infections (diagnosis)</term><term>Coronavirus Infections (epidemiology)</term><term>Coronavirus Infections (prevention & control)</term><term>Disease Outbreaks (prevention & control)</term><term>Family (MeSH)</term><term>Female (MeSH)</term><term>Humans (MeSH)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (prevention & control)</term><term>Pneumonia, Viral (diagnosis)</term><term>Pneumonia, Viral (epidemiology)</term><term>Pneumonia, Viral (prevention & control)</term><term>Socioeconomic Factors (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Adulte (MeSH)</term><term>Adulte d'âge moyen (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Chine (épidémiologie)</term><term>Facteurs socioéconomiques (MeSH)</term><term>Famille (MeSH)</term><term>Femelle (MeSH)</term><term>Humains (MeSH)</term><term>Infections à coronavirus (diagnostic)</term><term>Infections à coronavirus (prévention et contrôle)</term><term>Infections à coronavirus (épidémiologie)</term><term>Mâle (MeSH)</term><term>Pandémies (prévention et contrôle)</term><term>Pneumopathie virale (diagnostic)</term><term>Pneumopathie virale (prévention et contrôle)</term><term>Pneumopathie virale (épidémiologie)</term><term>Sujet âgé (MeSH)</term><term>Techniques de laboratoire clinique (MeSH)</term><term>Traçage des contacts (MeSH)</term><term>Épidémies de maladies (prévention et contrôle)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="diagnosis" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Coronavirus Infections</term><term>Disease Outbreaks</term><term>Pandemics</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Infections à coronavirus</term><term>Pandémies</term><term>Pneumopathie virale</term><term>Épidémies de maladies</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Chine</term><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adult</term><term>Aged</term><term>Betacoronavirus</term><term>Clinical Laboratory Techniques</term><term>Contact Tracing</term><term>Family</term><term>Female</term><term>Humans</term><term>Male</term><term>Middle Aged</term><term>Socioeconomic Factors</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Adulte</term><term>Adulte d'âge moyen</term><term>Betacoronavirus</term><term>Facteurs socioéconomiques</term><term>Famille</term><term>Femelle</term><term>Humains</term><term>Mâle</term><term>Sujet âgé</term><term>Techniques de laboratoire clinique</term><term>Traçage des contacts</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p><b>INTRODUCTION</b></p><p>To report about the successful outbreak containment of COVID-19 in Shantou, one of the prefectural cities of Guangdong province in the mainland China.</p></div><div type="abstract" xml:lang="en"><p><b>METHODOLOGY</b></p><p>All patients confirmed as having COVID-19 between 23 January and 25 March 2020 by RT-PCR assay in the clinical lab of Shantou CDC were included and divided into three groups based on the source of identification: hospital diagnosis, contact tracing, and community screening. Collected data was analyzed and compared among these three groups.</p></div><div type="abstract" xml:lang="en"><p><b>RESULTS</b></p><p>A total of 25 COVID-19 cases were identified in Shantou. The first case was identified on 14 January 2020 at one of two COVID-19 dedicated hospitals in Shantou. The majority of the cases were either imported from Wuhan or linked to Wuhan/Hubei. The median lag time for diagnosis (i.e., the time between symptom onset and case confirmation) was 2 days (IQR, 2.0-4.0) for all cases, 9 days (IQR, 7.0-10.0) for the cases diagnosed in hospitals, 2 days (IQR, 1.5-2.0) for the cases in contact tracing, and 4 days (IQR, 2.5-4.5) for cases in community screening, with a significantly longer diagnosis lag time in hospitals (p = 0.003). Multivariate linear regression models showed larger family size and severe cases as the significant predictor for increasing number of close contacts.</p></div><div type="abstract" xml:lang="en"><p><b>CONCLUSIONS</b></p><p>The current pandemic appears to exist for an uncertain period. The early containment measures applied in Shantou, a city with insufficient healthcare resources for COVID-19, seems to be appropriate for cities or areas with similar profiles.</p></div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32794464</PMID><DateCompleted><Year>2020</Year><Month>08</Month><Day>28</Day></DateCompleted><DateRevised><Year>2020</Year><Month>08</Month><Day>28</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1972-2680</ISSN><JournalIssue CitedMedium="Internet"><Volume>14</Volume><Issue>7</Issue><PubDate><Year>2020</Year><Month>Jul</Month><Day>31</Day></PubDate></JournalIssue><Title>Journal of infection in developing countries</Title><ISOAbbreviation>J Infect Dev Ctries</ISOAbbreviation></Journal><ArticleTitle>COVID-19 outbreak prevention by early containment in Shantou, China.</ArticleTitle><Pagination><MedlinePgn>742-747</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.3855/jidc.13121</ELocationID><Abstract><AbstractText Label="INTRODUCTION" NlmCategory="BACKGROUND">To report about the successful outbreak containment of COVID-19 in Shantou, one of the prefectural cities of Guangdong province in the mainland China.</AbstractText><AbstractText Label="METHODOLOGY" NlmCategory="METHODS">All patients confirmed as having COVID-19 between 23 January and 25 March 2020 by RT-PCR assay in the clinical lab of Shantou CDC were included and divided into three groups based on the source of identification: hospital diagnosis, contact tracing, and community screening. Collected data was analyzed and compared among these three groups.</AbstractText><AbstractText Label="RESULTS" NlmCategory="RESULTS">A total of 25 COVID-19 cases were identified in Shantou. The first case was identified on 14 January 2020 at one of two COVID-19 dedicated hospitals in Shantou. The majority of the cases were either imported from Wuhan or linked to Wuhan/Hubei. The median lag time for diagnosis (i.e., the time between symptom onset and case confirmation) was 2 days (IQR, 2.0-4.0) for all cases, 9 days (IQR, 7.0-10.0) for the cases diagnosed in hospitals, 2 days (IQR, 1.5-2.0) for the cases in contact tracing, and 4 days (IQR, 2.5-4.5) for cases in community screening, with a significantly longer diagnosis lag time in hospitals (p = 0.003). Multivariate linear regression models showed larger family size and severe cases as the significant predictor for increasing number of close contacts.</AbstractText><AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The current pandemic appears to exist for an uncertain period. The early containment measures applied in Shantou, a city with insufficient healthcare resources for COVID-19, seems to be appropriate for cities or areas with similar profiles.</AbstractText><CopyrightInformation>Copyright (c) 2020 Xubin Zhang, Dangui Zhang, Chi Zhang, Lijun Yao, Lu Xu, Gengna Chen, Zhaohui Liao, Xunyi Zhu, Wenda Yang, Weinan Li.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Xubin</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 306458072@qq.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Dangui</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Research Center of Translational Medicine, Second Affiliated Hospital of Shantou University Medical College, Shantou, China. danguizhang@stu.edu.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Chi</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 247400881@qq.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yao</LastName><ForeName>Lijun</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 58916306@qq.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xu</LastName><ForeName>Lu</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. xulu4309@126.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Chen</LastName><ForeName>Gengna</ForeName><Initials>G</Initials><AffiliationInfo><Affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 329927547@qq.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liao</LastName><ForeName>Zhaohui</ForeName><Initials>Z</Initials><AffiliationInfo><Affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 276430999@qq.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Zhu</LastName><ForeName>Xunyi</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 313273404@qq.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Wenda</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 363325747@qq.com.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Weinan</ForeName><Initials>W</Initials><AffiliationInfo><Affiliation>Center of Diseases Control and Prevention in Shantou, Shantou, China. 2457859820@qq.com.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D064888">Observational Study</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>07</Month><Day>31</Day></ArticleDate></Article><MedlineJournalInfo><Country>Italy</Country><MedlineTA>J Infect Dev Ctries</MedlineTA><NlmUniqueID>101305410</NlmUniqueID><ISSNLinking>1972-2680</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Protocol" UI="C000657964">COVID-19 diagnostic testing</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="Y">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D019411" MajorTopicYN="N">Clinical Laboratory Techniques</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016358" MajorTopicYN="N">Contact Tracing</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="N">Disease Outbreaks</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D005190" MajorTopicYN="N">Family</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000175" MajorTopicYN="N">diagnosis</QualifierName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">COVID-19</Keyword><Keyword MajorTopicYN="N">SARS-Cov-2</Keyword><Keyword MajorTopicYN="N">interventive measures</Keyword><Keyword MajorTopicYN="N">prevention and control</Keyword></KeywordList><CoiStatement>No Conflict of Interest is declared</CoiStatement></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2020</Year><Month>05</Month><Day>24</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2020</Year><Month>07</Month><Day>04</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2020</Year><Month>8</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2020</Year><Month>8</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>8</Month><Day>29</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">32794464</ArticleId><ArticleId IdType="doi">10.3855/jidc.13121</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Zhang, Xubin" sort="Zhang, Xubin" uniqKey="Zhang X" first="Xubin" last="Zhang">Xubin Zhang</name></noRegion><name sortKey="Chen, Gengna" sort="Chen, Gengna" uniqKey="Chen G" first="Gengna" last="Chen">Gengna Chen</name><name sortKey="Li, Weinan" sort="Li, Weinan" uniqKey="Li W" first="Weinan" last="Li">Weinan Li</name><name sortKey="Liao, Zhaohui" sort="Liao, Zhaohui" uniqKey="Liao Z" first="Zhaohui" last="Liao">Zhaohui Liao</name><name sortKey="Xu, Lu" sort="Xu, Lu" uniqKey="Xu L" first="Lu" last="Xu">Lu Xu</name><name sortKey="Yang, Wenda" sort="Yang, Wenda" uniqKey="Yang W" first="Wenda" last="Yang">Wenda Yang</name><name sortKey="Yao, Lijun" sort="Yao, Lijun" uniqKey="Yao L" first="Lijun" last="Yao">Lijun Yao</name><name sortKey="Zhang, Chi" sort="Zhang, Chi" uniqKey="Zhang C" first="Chi" last="Zhang">Chi Zhang</name><name sortKey="Zhang, Dangui" sort="Zhang, Dangui" uniqKey="Zhang D" first="Dangui" last="Zhang">Dangui Zhang</name><name sortKey="Zhu, Xunyi" sort="Zhu, Xunyi" uniqKey="Zhu X" first="Xunyi" last="Zhu">Xunyi Zhu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/CovidSeniorV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000857 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000857 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= CovidSeniorV1
|flux= Main
|étape= Exploration
|type= RBID
|clé= pubmed:32794464
|texte= COVID-19 outbreak prevention by early containment in Shantou, China.
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:32794464" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a CovidSeniorV1
| This area was generated with Dilib version V0.6.37. |  |