Synchrony of Dengue Incidence in Ho Chi Minh City and Bangkok.
Identifieur interne : 001378 ( PubMed/Curation ); précédent : 001377; suivant : 001379Synchrony of Dengue Incidence in Ho Chi Minh City and Bangkok.
Auteurs : Cuong Hoang Quoc [Viêt Nam] ; Salje Henrik [États-Unis] ; Rodriguez-Barraquer Isabel [États-Unis] ; Yoon In-Kyu [Corée du Sud] ; Nguyen Van Vinh Chau [Viêt Nam] ; Nguyen Thanh Hung [Viêt Nam] ; Ha Manh Tuan [Viêt Nam] ; Phan Trong Lan [Viêt Nam] ; Bridget Willis [Viêt Nam] ; Ananda Nisalak [Thaïlande] ; Siripen Kalayanarooj [Thaïlande] ; Derek A T. Cummings [États-Unis] ; Cameron P. Simmons [Viêt Nam]Source :
- PLoS neglected tropical diseases [ 1935-2735 ] ; 2016.
Abstract
Ho Chi Minh City and Bangkok are highly dengue endemic. The extent to which disease patterns are attributable to local versus regional dynamics remains unclear. To address this gap we compared key transmission parameters across the locations.
DOI: 10.1371/journal.pntd.0005188
PubMed: 28033384
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<author><name sortKey="Nisalak, Ananda" sort="Nisalak, Ananda" uniqKey="Nisalak A" first="Ananda" last="Nisalak">Ananda Nisalak</name>
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<author><name sortKey="Kalayanarooj, Siripen" sort="Kalayanarooj, Siripen" uniqKey="Kalayanarooj S" first="Siripen" last="Kalayanarooj">Siripen Kalayanarooj</name>
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<author><name sortKey="Cummings, Derek A T" sort="Cummings, Derek A T" uniqKey="Cummings D" first="Derek A T" last="Cummings">Derek A T. Cummings</name>
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<series><title level="j">PLoS neglected tropical diseases</title>
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<front><div type="abstract" xml:lang="en">Ho Chi Minh City and Bangkok are highly dengue endemic. The extent to which disease patterns are attributable to local versus regional dynamics remains unclear. To address this gap we compared key transmission parameters across the locations.</div>
</front>
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<DateCreated><Year>2016</Year>
<Month>12</Month>
<Day>29</Day>
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<DateRevised><Year>2017</Year>
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<Title>PLoS neglected tropical diseases</Title>
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<ArticleTitle>Synchrony of Dengue Incidence in Ho Chi Minh City and Bangkok.</ArticleTitle>
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<Abstract><AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Ho Chi Minh City and Bangkok are highly dengue endemic. The extent to which disease patterns are attributable to local versus regional dynamics remains unclear. To address this gap we compared key transmission parameters across the locations.</AbstractText>
<AbstractText Label="METHODS AND PRINCIPAL FINDINGS" NlmCategory="RESULTS">We used 2003-2009 age-stratified case data to inform catalytic transmission models. Further, we compared the spatial clustering of serotypes within each city. We found that annual case numbers were highly consistent across the two cities (correlation of 0.77, 95% CI: 0.74-0.79) as was the annual force of infection (correlation of 0.57, 95% CI: 0.46-0.68). Serotypes were less similar with serotype-specific correlations ranging from 0.65 for DENV1 to -0.14 for DENV4. Significant spatial clustering of serotypes was observed in HCMC at distances <500m, similar to previous observations from Bangkok.</AbstractText>
<AbstractText Label="DISCUSSIONS" NlmCategory="CONCLUSIONS">Dengue dynamics are comparable across these two hubs. Low correlation in serotype distribution suggests that similar built environments, vector populations and climate, rather than viral flow drives these observations.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hoang Quoc</LastName>
<ForeName>Cuong</ForeName>
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<AffiliationInfo><Affiliation>Pasteur Institute in Ho Chi Minh City, 167 Pasteur, district 3, Ho Chi Minh City, Vietnam.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Oxford University Clinical Research Unit, Hospital for Tropical Diseases, District 5, Ho Chi Minh City, Vietnam.</Affiliation>
</AffiliationInfo>
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<Author ValidYN="Y"><LastName>Henrik</LastName>
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<AffiliationInfo><Affiliation>Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Mathematical Modelling of Infectious Diseases Unit, Institute Pasteur, Paris, France.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>CNRS, URA3012, Paris, France.</Affiliation>
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<AffiliationInfo><Affiliation>Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, France.</Affiliation>
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<AffiliationInfo><Affiliation>International Vaccine Institute, Seoul, Republic of Korea.</Affiliation>
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<AffiliationInfo><Affiliation>Armed Forces Research Institute of Medical Sciences, Bangkok, Thailand.</Affiliation>
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<Author ValidYN="Y"><LastName>Chau</LastName>
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<ForeName>Bridget</ForeName>
<Initials>B</Initials>
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<Author ValidYN="Y"><LastName>Kalayanarooj</LastName>
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<Initials>DA</Initials>
<AffiliationInfo><Affiliation>Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Department of Biology, University of Florida, Gainesville, Florida, United States of America.</Affiliation>
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<ForeName>Cameron P</ForeName>
<Initials>CP</Initials>
<AffiliationInfo><Affiliation>Oxford University Clinical Research Unit, Hospital for Tropical Diseases, District 5, Ho Chi Minh City, Vietnam.</Affiliation>
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<AffiliationInfo><Affiliation>Department of Microbiology and Immunology, University of Melbourne, at the Peter Doherty Institute, Victoria, Australia.</Affiliation>
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<CoiStatement>The authors have declared that no competing interests exist.</CoiStatement>
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