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[Analysis on epidemic situation and spatiotemporal changes of COVID-19 in Anhui].

Identifieur interne : 000088 ( an2020/Analysis ); précédent : 000087; suivant : 000089

[Analysis on epidemic situation and spatiotemporal changes of COVID-19 in Anhui].

Auteurs : M. Liu [République populaire de Chine] ; H L Xu [République populaire de Chine] ; M. Yuan [République populaire de Chine] ; Z R Liu [République populaire de Chine] ; X Y Wu [République populaire de Chine] ; Y. Zhang [République populaire de Chine] ; L Y Ma [République populaire de Chine] ; L. Gong [République populaire de Chine] ; H. Gan [République populaire de Chine] ; W W Zong [République populaire de Chine] ; S M Tao [République populaire de Chine] ; Q. Liu [République populaire de Chine] ; Y N Du [République populaire de Chine] ; F B Tao [République populaire de Chine]

Source :

RBID : pubmed:32107910

Abstract

We used the epidemic data of COVID-19 published on the official website of the municipal health commission in Anhui province. We mapped the spatiotemporal changes of confirmed cases, fitted the epidemic situation by the population growth curve at different stages and took statistical description and analysis of the epidemic situation in Anhui province. It was found that the cumulative incidence of COVID-19 was 156/100 000 by February 18, 2020 and the trend of COVID-19 epidemic declined after February 7, changing from J curve to S curve. The actual number of new cases began to decrease from February 2 to February 4 due to the time of case report and actual onset delayed by 3 to 5 days.

DOI: 10.3760/cma.j.cn112150-20200221-00150
PubMed: 32107910


Affiliations:


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pubmed:32107910

Le document en format XML

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<name sortKey="Du, Y N" sort="Du, Y N" uniqKey="Du Y" first="Y N" last="Du">Y N Du</name>
<affiliation wicri:level="1">
<nlm:affiliation>Center for Big Data Science in Health, School of Health Service Management, Anhui Medical University, Hefei 230032, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Center for Big Data Science in Health, School of Health Service Management, Anhui Medical University, Hefei 230032</wicri:regionArea>
<placeName>
<settlement type="city">Hefei</settlement>
<region type="province">Anhui</region>
</placeName>
</affiliation>
</author>
<author>
<name sortKey="Tao, F B" sort="Tao, F B" uniqKey="Tao F" first="F B" last="Tao">F B Tao</name>
<affiliation wicri:level="1">
<nlm:affiliation>Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University/Population Health Across Life Cycle, Ministry of Education of the People's Republic of China/NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032, China.</nlm:affiliation>
<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University/Population Health Across Life Cycle, Ministry of Education of the People's Republic of China/NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei 230032</wicri:regionArea>
<placeName>
<settlement type="city">Hefei</settlement>
<region type="province">Anhui</region>
</placeName>
</affiliation>
</author>
</analytic>
<series>
<title level="j">Zhonghua yu fang yi xue za zhi [Chinese journal of preventive medicine]</title>
<idno type="ISSN">0253-9624</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">We used the epidemic data of COVID-19 published on the official website of the municipal health commission in Anhui province. We mapped the spatiotemporal changes of confirmed cases, fitted the epidemic situation by the population growth curve at different stages and took statistical description and analysis of the epidemic situation in Anhui province. It was found that the cumulative incidence of COVID-19 was 156/100 000 by February 18, 2020 and the trend of COVID-19 epidemic declined after February 7, changing from J curve to S curve. The actual number of new cases began to decrease from February 2 to February 4 due to the time of case report and actual onset delayed by 3 to 5 days.</div>
</front>
</TEI>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
<region>
<li>Anhui</li>
</region>
<settlement>
<li>Hefei</li>
</settlement>
</list>
<tree>
<country name="République populaire de Chine">
<region name="Anhui">
<name sortKey="Liu, M" sort="Liu, M" uniqKey="Liu M" first="M" last="Liu">M. Liu</name>
</region>
<name sortKey="Du, Y N" sort="Du, Y N" uniqKey="Du Y" first="Y N" last="Du">Y N Du</name>
<name sortKey="Gan, H" sort="Gan, H" uniqKey="Gan H" first="H" last="Gan">H. Gan</name>
<name sortKey="Gong, L" sort="Gong, L" uniqKey="Gong L" first="L" last="Gong">L. Gong</name>
<name sortKey="Liu, Q" sort="Liu, Q" uniqKey="Liu Q" first="Q" last="Liu">Q. Liu</name>
<name sortKey="Liu, Z R" sort="Liu, Z R" uniqKey="Liu Z" first="Z R" last="Liu">Z R Liu</name>
<name sortKey="Ma, L Y" sort="Ma, L Y" uniqKey="Ma L" first="L Y" last="Ma">L Y Ma</name>
<name sortKey="Tao, F B" sort="Tao, F B" uniqKey="Tao F" first="F B" last="Tao">F B Tao</name>
<name sortKey="Tao, S M" sort="Tao, S M" uniqKey="Tao S" first="S M" last="Tao">S M Tao</name>
<name sortKey="Wu, X Y" sort="Wu, X Y" uniqKey="Wu X" first="X Y" last="Wu">X Y Wu</name>
<name sortKey="Xu, H L" sort="Xu, H L" uniqKey="Xu H" first="H L" last="Xu">H L Xu</name>
<name sortKey="Yuan, M" sort="Yuan, M" uniqKey="Yuan M" first="M" last="Yuan">M. Yuan</name>
<name sortKey="Zhang, Y" sort="Zhang, Y" uniqKey="Zhang Y" first="Y" last="Zhang">Y. Zhang</name>
<name sortKey="Zong, W W" sort="Zong, W W" uniqKey="Zong W" first="W W" last="Zong">W W Zong</name>
</country>
</tree>
</affiliations>
</record>

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