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Epidemiological features of and changes in incidence of infectious diseases in China in the first decade after the SARS outbreak: an observational trend study

Identifieur interne : 000628 ( Pmc/Checkpoint ); précédent : 000627; suivant : 000629

Epidemiological features of and changes in incidence of infectious diseases in China in the first decade after the SARS outbreak: an observational trend study

Auteurs : Shigui Yang [République populaire de Chine] ; Jie Wu [République populaire de Chine] ; Cheng Ding [République populaire de Chine] ; Yuanxia Cui [République populaire de Chine] ; Yuqing Zhou [République populaire de Chine] ; Yiping Li [République populaire de Chine] ; Min Deng [République populaire de Chine] ; Chencheng Wang [République populaire de Chine] ; Kaijin Xu [République populaire de Chine] ; Jingjing Ren [République populaire de Chine] ; Bing Ruan [République populaire de Chine] ; Lanjuan Li [République populaire de Chine]

Source :

RBID : PMC:7164789

Abstract

SummaryBackground

The model of infectious disease prevention and control changed significantly in China after the outbreak in 2003 of severe acute respiratory syndrome (SARS), but trends and epidemiological features of infectious diseases are rarely studied. In this study, we aimed to assess specific incidence and mortality trends of 45 notifiable infectious diseases from 2004 to 2013 in China and to investigate the overall effectiveness of current prevention and control strategies.

Methods

Incidence and mortality data for 45 notifiable infectious diseases were extracted from a WChinese public health science data centre from 2004 to 2013, which covers 31 provinces in mainland China. We estimated the annual percentage change in incidence of each infectious disease using joinpoint regression.

Findings

Between January, 2004, and December, 2013, 54 984 661 cases of 45 infectious diseases were reported (average yearly incidence 417·98 per 100 000). The infectious diseases with the highest yearly incidence were hand, foot, and mouth disease (114·48 per 100 000), hepatitis B (81·57 per 100 000), and tuberculosis (80·33 per 100 000). 132 681 deaths were reported among the 54 984 661 cases (average yearly mortality 1·01 deaths per 100 000; average case fatality 2·4 per 1000). Overall yearly incidence of infectious disease was higher among males than females and was highest among children younger than 10 years. Overall yearly mortality was higher among males than females older than 20 years and highest among individuals older than 80 years. Average yearly incidence rose from 300·54 per 100 000 in 2004 to 483·63 per 100 000 in 2013 (annual percentage change 5·9%); hydatid disease (echinococcosis), hepatitis C, and syphilis showed the fastest growth. The overall increasing trend changed after 2009, and the annual percentage change in incidence of infectious disease in 2009–13 (2·3%) was significantly lower than in 2004–08 (6·2%).

Interpretation

Although the overall incidence of infectious diseases was increasing from 2004, the rate levelled off after 2009. Effective prevention and control strategies are needed for diseases with the highest incidence—including hand, foot, and mouth disease, hepatitis B, and tuberculosis—and those with the fastest rates of increase (including hydatid disease, hepatitis C, and syphilis).

Funding

Chinese Ministry of Science and Technology, National Natural Science Foundation (China).


Url:
DOI: 10.1016/S1473-3099(17)30227-X
PubMed: 28412150
PubMed Central: 7164789


Affiliations:


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PMC:7164789

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<name sortKey="Li, Lanjuan" sort="Li, Lanjuan" uniqKey="Li L" first="Lanjuan" last="Li">Lanjuan Li</name>
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<title level="j">The Lancet. Infectious Diseases</title>
<idno type="ISSN">1473-3099</idno>
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<title>Summary</title>
<sec>
<title>Background</title>
<p>The model of infectious disease prevention and control changed significantly in China after the outbreak in 2003 of severe acute respiratory syndrome (SARS), but trends and epidemiological features of infectious diseases are rarely studied. In this study, we aimed to assess specific incidence and mortality trends of 45 notifiable infectious diseases from 2004 to 2013 in China and to investigate the overall effectiveness of current prevention and control strategies.</p>
</sec>
<sec>
<title>Methods</title>
<p>Incidence and mortality data for 45 notifiable infectious diseases were extracted from a WChinese public health science data centre from 2004 to 2013, which covers 31 provinces in mainland China. We estimated the annual percentage change in incidence of each infectious disease using joinpoint regression.</p>
</sec>
<sec>
<title>Findings</title>
<p>Between January, 2004, and December, 2013, 54 984 661 cases of 45 infectious diseases were reported (average yearly incidence 417·98 per 100 000). The infectious diseases with the highest yearly incidence were hand, foot, and mouth disease (114·48 per 100 000), hepatitis B (81·57 per 100 000), and tuberculosis (80·33 per 100 000). 132 681 deaths were reported among the 54 984 661 cases (average yearly mortality 1·01 deaths per 100 000; average case fatality 2·4 per 1000). Overall yearly incidence of infectious disease was higher among males than females and was highest among children younger than 10 years. Overall yearly mortality was higher among males than females older than 20 years and highest among individuals older than 80 years. Average yearly incidence rose from 300·54 per 100 000 in 2004 to 483·63 per 100 000 in 2013 (annual percentage change 5·9%); hydatid disease (echinococcosis), hepatitis C, and syphilis showed the fastest growth. The overall increasing trend changed after 2009, and the annual percentage change in incidence of infectious disease in 2009–13 (2·3%) was significantly lower than in 2004–08 (6·2%).</p>
</sec>
<sec>
<title>Interpretation</title>
<p>Although the overall incidence of infectious diseases was increasing from 2004, the rate levelled off after 2009. Effective prevention and control strategies are needed for diseases with the highest incidence—including hand, foot, and mouth disease, hepatitis B, and tuberculosis—and those with the fastest rates of increase (including hydatid disease, hepatitis C, and syphilis).</p>
</sec>
<sec>
<title>Funding</title>
<p>Chinese Ministry of Science and Technology, National Natural Science Foundation (China).</p>
</sec>
</div>
</front>
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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">Lancet Infect Dis</journal-id>
<journal-id journal-id-type="iso-abbrev">Lancet Infect Dis</journal-id>
<journal-title-group>
<journal-title>The Lancet. Infectious Diseases</journal-title>
</journal-title-group>
<issn pub-type="ppub">1473-3099</issn>
<issn pub-type="epub">1474-4457</issn>
<publisher>
<publisher-name>Elsevier Ltd.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="pmid">28412150</article-id>
<article-id pub-id-type="pmc">7164789</article-id>
<article-id pub-id-type="publisher-id">S1473-3099(17)30227-X</article-id>
<article-id pub-id-type="doi">10.1016/S1473-3099(17)30227-X</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Epidemiological features of and changes in incidence of infectious diseases in China in the first decade after the SARS outbreak: an observational trend study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" id="au10">
<name>
<surname>Yang</surname>
<given-names>Shigui</given-names>
</name>
<degrees>PhD</degrees>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au20">
<name>
<surname>Wu</surname>
<given-names>Jie</given-names>
</name>
<degrees>PhD</degrees>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au30">
<name>
<surname>Ding</surname>
<given-names>Cheng</given-names>
</name>
<degrees>MS</degrees>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au40">
<name>
<surname>Cui</surname>
<given-names>Yuanxia</given-names>
</name>
<degrees>MS</degrees>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au50">
<name>
<surname>Zhou</surname>
<given-names>Yuqing</given-names>
</name>
<degrees>MS</degrees>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au60">
<name>
<surname>Li</surname>
<given-names>Yiping</given-names>
</name>
<degrees>MS</degrees>
<xref rid="aff2" ref-type="aff">b</xref>
</contrib>
<contrib contrib-type="author" id="au70">
<name>
<surname>Deng</surname>
<given-names>Min</given-names>
</name>
<degrees>PhD</degrees>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au80">
<name>
<surname>Wang</surname>
<given-names>Chencheng</given-names>
</name>
<degrees>MS</degrees>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au90">
<name>
<surname>Xu</surname>
<given-names>Kaijin</given-names>
</name>
<degrees>PhD</degrees>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au100">
<name>
<surname>Ren</surname>
<given-names>Jingjing</given-names>
</name>
<degrees>PhD</degrees>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au110">
<name>
<surname>Ruan</surname>
<given-names>Bing</given-names>
</name>
<degrees>Prof</degrees>
<degrees>PhD</degrees>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au120">
<name>
<surname>Li</surname>
<given-names>Lanjuan</given-names>
</name>
<degrees>Prof</degrees>
<degrees>PhD</degrees>
<email>ljli@zju.edu.cn</email>
<xref rid="aff1" ref-type="aff">a</xref>
<xref rid="cor1" ref-type="corresp">*</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>a</label>
State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China</aff>
<aff id="aff2">
<label>b</label>
Zhejiang Institute of Medical-care Information Technology, Hangzhou, China</aff>
<author-notes>
<corresp id="cor1">
<label>*</label>
Correspondence to: Prof Lanjuan Li, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou 310003, China
<email>ljli@zju.edu.cn</email>
</corresp>
</author-notes>
<pub-date pub-type="pmc-release">
<day>12</day>
<month>4</month>
<year>2017</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>7</month>
<year>2017</year>
</pub-date>
<pub-date pub-type="epub">
<day>12</day>
<month>4</month>
<year>2017</year>
</pub-date>
<volume>17</volume>
<issue>7</issue>
<fpage>716</fpage>
<lpage>725</lpage>
<permissions>
<copyright-statement>© 2017 Elsevier Ltd. All rights reserved.</copyright-statement>
<copyright-year>2017</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>
<related-article related-article-type="article-reference" id="d32e536" ext-link-type="doi" xlink:href="10.1016/S1473-3099(17)30168-8"></related-article>
<abstract id="ceab10">
<title>Summary</title>
<sec>
<title>Background</title>
<p>The model of infectious disease prevention and control changed significantly in China after the outbreak in 2003 of severe acute respiratory syndrome (SARS), but trends and epidemiological features of infectious diseases are rarely studied. In this study, we aimed to assess specific incidence and mortality trends of 45 notifiable infectious diseases from 2004 to 2013 in China and to investigate the overall effectiveness of current prevention and control strategies.</p>
</sec>
<sec>
<title>Methods</title>
<p>Incidence and mortality data for 45 notifiable infectious diseases were extracted from a WChinese public health science data centre from 2004 to 2013, which covers 31 provinces in mainland China. We estimated the annual percentage change in incidence of each infectious disease using joinpoint regression.</p>
</sec>
<sec>
<title>Findings</title>
<p>Between January, 2004, and December, 2013, 54 984 661 cases of 45 infectious diseases were reported (average yearly incidence 417·98 per 100 000). The infectious diseases with the highest yearly incidence were hand, foot, and mouth disease (114·48 per 100 000), hepatitis B (81·57 per 100 000), and tuberculosis (80·33 per 100 000). 132 681 deaths were reported among the 54 984 661 cases (average yearly mortality 1·01 deaths per 100 000; average case fatality 2·4 per 1000). Overall yearly incidence of infectious disease was higher among males than females and was highest among children younger than 10 years. Overall yearly mortality was higher among males than females older than 20 years and highest among individuals older than 80 years. Average yearly incidence rose from 300·54 per 100 000 in 2004 to 483·63 per 100 000 in 2013 (annual percentage change 5·9%); hydatid disease (echinococcosis), hepatitis C, and syphilis showed the fastest growth. The overall increasing trend changed after 2009, and the annual percentage change in incidence of infectious disease in 2009–13 (2·3%) was significantly lower than in 2004–08 (6·2%).</p>
</sec>
<sec>
<title>Interpretation</title>
<p>Although the overall incidence of infectious diseases was increasing from 2004, the rate levelled off after 2009. Effective prevention and control strategies are needed for diseases with the highest incidence—including hand, foot, and mouth disease, hepatitis B, and tuberculosis—and those with the fastest rates of increase (including hydatid disease, hepatitis C, and syphilis).</p>
</sec>
<sec>
<title>Funding</title>
<p>Chinese Ministry of Science and Technology, National Natural Science Foundation (China).</p>
</sec>
</abstract>
</article-meta>
</front>
</pmc>
<affiliations>
<list>
<country>
<li>République populaire de Chine</li>
</country>
<region>
<li>Zhejiang</li>
</region>
<settlement>
<li>Hangzhou</li>
</settlement>
<orgName>
<li>Université de Zhejiang</li>
</orgName>
</list>
<tree>
<country name="République populaire de Chine">
<region name="Zhejiang">
<name sortKey="Yang, Shigui" sort="Yang, Shigui" uniqKey="Yang S" first="Shigui" last="Yang">Shigui Yang</name>
</region>
<name sortKey="Cui, Yuanxia" sort="Cui, Yuanxia" uniqKey="Cui Y" first="Yuanxia" last="Cui">Yuanxia Cui</name>
<name sortKey="Deng, Min" sort="Deng, Min" uniqKey="Deng M" first="Min" last="Deng">Min Deng</name>
<name sortKey="Ding, Cheng" sort="Ding, Cheng" uniqKey="Ding C" first="Cheng" last="Ding">Cheng Ding</name>
<name sortKey="Li, Lanjuan" sort="Li, Lanjuan" uniqKey="Li L" first="Lanjuan" last="Li">Lanjuan Li</name>
<name sortKey="Li, Yiping" sort="Li, Yiping" uniqKey="Li Y" first="Yiping" last="Li">Yiping Li</name>
<name sortKey="Ren, Jingjing" sort="Ren, Jingjing" uniqKey="Ren J" first="Jingjing" last="Ren">Jingjing Ren</name>
<name sortKey="Ruan, Bing" sort="Ruan, Bing" uniqKey="Ruan B" first="Bing" last="Ruan">Bing Ruan</name>
<name sortKey="Wang, Chencheng" sort="Wang, Chencheng" uniqKey="Wang C" first="Chencheng" last="Wang">Chencheng Wang</name>
<name sortKey="Wu, Jie" sort="Wu, Jie" uniqKey="Wu J" first="Jie" last="Wu">Jie Wu</name>
<name sortKey="Xu, Kaijin" sort="Xu, Kaijin" uniqKey="Xu K" first="Kaijin" last="Xu">Kaijin Xu</name>
<name sortKey="Zhou, Yuqing" sort="Zhou, Yuqing" uniqKey="Zhou Y" first="Yuqing" last="Zhou">Yuqing Zhou</name>
</country>
</tree>
</affiliations>
</record>

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