Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China.
Identifieur interne : 001757 ( PubMed/Corpus ); précédent : 001756; suivant : 001758Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China.
Auteurs : Huaiyu Tian ; Shanqian Huang ; Sen Zhou ; Peng Bi ; Zhicong Yang ; Xiujun Li ; Lifan Chen ; Bernard Cazelles ; Jing Yang ; Lei Luo ; Qinlong Jing ; Wenping Yuan ; Yao Pei ; Zhe Sun ; Tianxiang Yue ; Mei-Po Kwan ; Qiyong Liu ; Ming Wang ; Shilu Tong ; John S. Brownstein ; Bing XuSource :
- Environmental research [ 1096-0953 ] ; 2016.
English descriptors
- KwdEn :
- MESH :
- analysis : Fresh Water.
- epidemiology : China, Dengue.
- physiology : Aedes, Insect Vectors.
- transmission : Dengue.
- virology : Dengue.
- Animals, Disease Outbreaks, Urbanization.
Abstract
Dengue transmission in urban areas is strongly influenced by a range of biological and environmental factors, yet the key drivers still need further exploration. To better understand mechanisms of environment-mosquito-urban dengue transmission, we propose an empirical model parameterized and cross-validated from a unique dataset including viral gene sequences, vector dynamics and human dengue cases in Guangzhou, China, together with a 36-year urban environmental change maps investigated by spatiotemporal satellite image fusion. The dengue epidemics in Guangzhou are highly episodic and were not associated with annual rainfall over time. Our results indicate that urban environmental changes, especially variations in surface area covered by water in urban areas, can substantially alter the virus population and dengue transmission. The recent severe dengue outbreaks in Guangzhou may be due to the surge in an artificial lake construction, which could increase infection force between vector (mainly Aedes albopictus) and host when urban water area significantly increased. Impacts of urban environmental change on dengue dynamics may not have been thoroughly investigated in the past studies and more work needs to be done to better understand the consequences of urbanization processes in our changing world.
DOI: 10.1016/j.envres.2016.05.039
PubMed: 27336234
Links to Exploration step
pubmed:27336234Le document en format XML
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<front><div type="abstract" xml:lang="en">Dengue transmission in urban areas is strongly influenced by a range of biological and environmental factors, yet the key drivers still need further exploration. To better understand mechanisms of environment-mosquito-urban dengue transmission, we propose an empirical model parameterized and cross-validated from a unique dataset including viral gene sequences, vector dynamics and human dengue cases in Guangzhou, China, together with a 36-year urban environmental change maps investigated by spatiotemporal satellite image fusion. The dengue epidemics in Guangzhou are highly episodic and were not associated with annual rainfall over time. Our results indicate that urban environmental changes, especially variations in surface area covered by water in urban areas, can substantially alter the virus population and dengue transmission. The recent severe dengue outbreaks in Guangzhou may be due to the surge in an artificial lake construction, which could increase infection force between vector (mainly Aedes albopictus) and host when urban water area significantly increased. Impacts of urban environmental change on dengue dynamics may not have been thoroughly investigated in the past studies and more work needs to be done to better understand the consequences of urbanization processes in our changing world.</div>
</front>
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<Title>Environmental research</Title>
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<ArticleTitle>Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China.</ArticleTitle>
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<Abstract><AbstractText>Dengue transmission in urban areas is strongly influenced by a range of biological and environmental factors, yet the key drivers still need further exploration. To better understand mechanisms of environment-mosquito-urban dengue transmission, we propose an empirical model parameterized and cross-validated from a unique dataset including viral gene sequences, vector dynamics and human dengue cases in Guangzhou, China, together with a 36-year urban environmental change maps investigated by spatiotemporal satellite image fusion. The dengue epidemics in Guangzhou are highly episodic and were not associated with annual rainfall over time. Our results indicate that urban environmental changes, especially variations in surface area covered by water in urban areas, can substantially alter the virus population and dengue transmission. The recent severe dengue outbreaks in Guangzhou may be due to the surge in an artificial lake construction, which could increase infection force between vector (mainly Aedes albopictus) and host when urban water area significantly increased. Impacts of urban environmental change on dengue dynamics may not have been thoroughly investigated in the past studies and more work needs to be done to better understand the consequences of urbanization processes in our changing world.</AbstractText>
<CopyrightInformation>Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.</CopyrightInformation>
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<ForeName>Sen</ForeName>
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<Author ValidYN="Y"><LastName>Yang</LastName>
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<Author ValidYN="Y"><LastName>Yuan</LastName>
<ForeName>Wenping</ForeName>
<Initials>W</Initials>
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</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Pei</LastName>
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<Initials>Y</Initials>
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<Author ValidYN="Y"><LastName>Sun</LastName>
<ForeName>Zhe</ForeName>
<Initials>Z</Initials>
<AffiliationInfo><Affiliation>Ministry of Education Key Laboratory for Earth System Modelling, Center for Earth System Science, Tsinghua University, Beijing, China.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Yue</LastName>
<ForeName>Tianxiang</ForeName>
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<Author ValidYN="Y"><LastName>Wang</LastName>
<ForeName>Ming</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Guangzhou Center for Disease Control and Prevention, Guangzhou, China.</Affiliation>
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<Author ValidYN="Y"><LastName>Tong</LastName>
<ForeName>Shilu</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>School of Public Health and Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia.</Affiliation>
</AffiliationInfo>
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<ForeName>John S</ForeName>
<Initials>JS</Initials>
<AffiliationInfo><Affiliation>Department of Pediatrics, Harvard Medical School, Boston, MA, USA. Electronic address: John.Brownstein@childrens.harvard.edu.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Xu</LastName>
<ForeName>Bing</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China; Ministry of Education Key Laboratory for Earth System Modelling, Center for Earth System Science, Tsinghua University, Beijing, China; Department of Geography, University of Utah, Salt Lake City, UT 84112, USA. Electronic address: bingxu@tsinghua.edu.cn.</Affiliation>
</AffiliationInfo>
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<ArticleDate DateType="Electronic"><Year>2016</Year>
<Month>06</Month>
<Day>21</Day>
</ArticleDate>
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<MedlineTA>Environ Res</MedlineTA>
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<ISSNLinking>0013-9351</ISSNLinking>
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<MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName>
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<MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N">China</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
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<MeshHeading><DescriptorName UI="D003715" MajorTopicYN="N">Dengue</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000635" MajorTopicYN="N">transmission</QualifierName>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D004196" MajorTopicYN="Y">Disease Outbreaks</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005618" MajorTopicYN="N">Fresh Water</DescriptorName>
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</MeshHeading>
<MeshHeading><DescriptorName UI="D007303" MajorTopicYN="N">Insect Vectors</DescriptorName>
<QualifierName UI="Q000502" MajorTopicYN="Y">physiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014507" MajorTopicYN="N">Urbanization</DescriptorName>
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</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">Climate</Keyword>
<Keyword MajorTopicYN="Y">Guangzhou</Keyword>
<Keyword MajorTopicYN="Y">Remote sensing</Keyword>
<Keyword MajorTopicYN="Y">Urban dengue outbreak</Keyword>
<Keyword MajorTopicYN="Y">Water surface area</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2015</Year>
<Month>11</Month>
<Day>05</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2016</Year>
<Month>05</Month>
<Day>19</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2016</Year>
<Month>05</Month>
<Day>20</Day>
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<PubMedPubDate PubStatus="entrez"><Year>2016</Year>
<Month>6</Month>
<Day>24</Day>
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<Hour>6</Hour>
<Minute>0</Minute>
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<PubMedPubDate PubStatus="medline"><Year>2017</Year>
<Month>5</Month>
<Day>2</Day>
<Hour>6</Hour>
<Minute>0</Minute>
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</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">27336234</ArticleId>
<ArticleId IdType="pii">S0013-9351(16)30213-4</ArticleId>
<ArticleId IdType="doi">10.1016/j.envres.2016.05.039</ArticleId>
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