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Influenza associated mortality in the subtropics and tropics: Results from three Asian cities.

Identifieur interne : 000165 ( Hal/Corpus ); précédent : 000164; suivant : 000166

Influenza associated mortality in the subtropics and tropics: Results from three Asian cities.

Auteurs : Lin Yang ; Stefan Ma ; Ping Yan Chen ; Jian Feng He ; King Pan Chan ; Angela Chow ; Chun Quan Ou ; Ai Ping Deng ; Anthony J. Hedley ; Chit Ming Wong ; J S Malik Peiris

Source :

RBID : Hal:pasteur-00639817

Abstract

Influenza has been well documented to significantly contribute to winter increase of mortality in the temperate countries, but its severity in the subtropics and tropics was not recognized until recently and geographical variations of disease burden in these regions remain poorly understood. In this study, we applied a standardized modeling strategy to the mortality and virology data from three Asian cities: subtropical Guangzhou and Hong Kong, and tropical Singapore, to estimate the disease burden of influenza in these cities. We found that influenza was associated with 10.6, 13.4 and 8.3 deaths per 100,000 population in Guangzhou, Hong Kong and Singapore, respectively. The annual rates of excess deaths in the elders were estimated highest in Guangzhou and lowest in Singapore. The excess death rate attributable to A/H1N1 subtype was found slightly higher than the rates attributable to A/H3N2 during the study period of 2004-2006 based on the data from Hong Kong and Guangzhou. Our study revealed a geographical variation in the disease burden of influenza in these subtropical and tropical cities. These results highlight a need to explore the determinants for severity of seasonal influenza.


Url:
DOI: 10.1016/j.vaccine.2011.09.071

Links to Exploration step

Hal:pasteur-00639817

Le document en format XML

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<p>Influenza has been well documented to significantly contribute to winter increase of mortality in the temperate countries, but its severity in the subtropics and tropics was not recognized until recently and geographical variations of disease burden in these regions remain poorly understood. In this study, we applied a standardized modeling strategy to the mortality and virology data from three Asian cities: subtropical Guangzhou and Hong Kong, and tropical Singapore, to estimate the disease burden of influenza in these cities. We found that influenza was associated with 10.6, 13.4 and 8.3 deaths per 100,000 population in Guangzhou, Hong Kong and Singapore, respectively. The annual rates of excess deaths in the elders were estimated highest in Guangzhou and lowest in Singapore. The excess death rate attributable to A/H1N1 subtype was found slightly higher than the rates attributable to A/H3N2 during the study period of 2004-2006 based on the data from Hong Kong and Guangzhou. Our study revealed a geographical variation in the disease burden of influenza in these subtropical and tropical cities. These results highlight a need to explore the determinants for severity of seasonal influenza.</p>
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<forename type="first">Stefan</forename>
<surname>Ma</surname>
</persName>
<idno type="halauthorid">657344</idno>
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</author>
<author role="aut">
<persName>
<forename type="first">Ping Yan</forename>
<surname>Chen</surname>
</persName>
<idno type="halauthorid">657345</idno>
<affiliation ref="#struct-173937"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Jian Feng</forename>
<surname>He</surname>
</persName>
<idno type="halauthorid">657346</idno>
<affiliation ref="#struct-173938"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">King Pan</forename>
<surname>Chan</surname>
</persName>
<idno type="halauthorid">603613</idno>
<affiliation ref="#struct-159582"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Angela</forename>
<surname>Chow</surname>
</persName>
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</author>
<author role="aut">
<persName>
<forename type="first">Chun Quan</forename>
<surname>Ou</surname>
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<idno type="halauthorid">603615</idno>
<affiliation ref="#struct-173937"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Ai Ping</forename>
<surname>Deng</surname>
</persName>
<idno type="halauthorid">657348</idno>
<affiliation ref="#struct-173938"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Anthony J</forename>
<surname>Hedley</surname>
</persName>
<idno type="halauthorid">657349</idno>
</author>
<author role="crp">
<persName>
<forename type="first">Chit Ming</forename>
<surname>Wong</surname>
</persName>
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<idno type="halauthorid">603612</idno>
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<author role="aut">
<persName>
<forename type="first">J S Malik</forename>
<surname>Peiris</surname>
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<forename>Francois</forename>
<surname>Kien</surname>
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</editor>
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<date type="whenSubmitted">2011-11-10 09:20:25</date>
<date type="whenModified">2019-04-10 11:58:02</date>
<date type="whenReleased">2011-11-15 16:29:27</date>
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</edition>
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<forename>Francois</forename>
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<idno type="halBibtex">yang:pasteur-00639817</idno>
<idno type="halRefHtml">Vaccine, Elsevier, 2011, 29 (48), pp.8909-14. ⟨10.1016/j.vaccine.2011.09.071⟩</idno>
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<analytic>
<title xml:lang="en">Influenza associated mortality in the subtropics and tropics: Results from three Asian cities.</title>
<author role="aut">
<persName>
<forename type="first">Lin</forename>
<surname>Yang</surname>
</persName>
<idno type="halauthorid">603611</idno>
<affiliation ref="#struct-159582"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Stefan</forename>
<surname>Ma</surname>
</persName>
<idno type="halauthorid">657344</idno>
<affiliation ref="#struct-173936"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Ping Yan</forename>
<surname>Chen</surname>
</persName>
<idno type="halauthorid">657345</idno>
<affiliation ref="#struct-173937"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Jian Feng</forename>
<surname>He</surname>
</persName>
<idno type="halauthorid">657346</idno>
<affiliation ref="#struct-173938"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">King Pan</forename>
<surname>Chan</surname>
</persName>
<idno type="halauthorid">603613</idno>
<affiliation ref="#struct-159582"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Angela</forename>
<surname>Chow</surname>
</persName>
<idno type="halauthorid">657347</idno>
<affiliation ref="#struct-173939"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Chun Quan</forename>
<surname>Ou</surname>
</persName>
<idno type="halauthorid">603615</idno>
<affiliation ref="#struct-173937"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Ai Ping</forename>
<surname>Deng</surname>
</persName>
<idno type="halauthorid">657348</idno>
<affiliation ref="#struct-173938"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">Anthony J</forename>
<surname>Hedley</surname>
</persName>
<idno type="halauthorid">657349</idno>
</author>
<author role="crp">
<persName>
<forename type="first">Chit Ming</forename>
<surname>Wong</surname>
</persName>
<email type="md5">0aef1227bd798e003049663b0287e85f</email>
<email type="domain">hkucc.hku.hk</email>
<idno type="halauthorid">603612</idno>
<affiliation ref="#struct-159582"></affiliation>
</author>
<author role="aut">
<persName>
<forename type="first">J S Malik</forename>
<surname>Peiris</surname>
</persName>
<idno type="halauthorid">202086</idno>
<affiliation ref="#struct-55925"></affiliation>
<affiliation ref="#struct-136023"></affiliation>
</author>
</analytic>
<monogr>
<idno type="halJournalId" status="VALID">19820</idno>
<idno type="issn">0264-410X</idno>
<idno type="eissn">0264-410X</idno>
<title level="j">Vaccine</title>
<imprint>
<publisher>Elsevier</publisher>
<biblScope unit="volume">29</biblScope>
<biblScope unit="issue">48</biblScope>
<biblScope unit="pp">8909-14</biblScope>
<date type="datePub">2011-11-08</date>
<date type="dateEpub">2011-09-28</date>
</imprint>
</monogr>
<idno type="doi">10.1016/j.vaccine.2011.09.071</idno>
<idno type="pubmed">21959328</idno>
</biblStruct>
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<langUsage>
<language ident="en">English</language>
</langUsage>
<textClass>
<classCode scheme="halDomain" n="sdv.mp.vir">Life Sciences [q-bio]/Microbiology and Parasitology/Virology</classCode>
<classCode scheme="halTypology" n="ART">Journal articles</classCode>
</textClass>
<abstract xml:lang="en">
<p>Influenza has been well documented to significantly contribute to winter increase of mortality in the temperate countries, but its severity in the subtropics and tropics was not recognized until recently and geographical variations of disease burden in these regions remain poorly understood. In this study, we applied a standardized modeling strategy to the mortality and virology data from three Asian cities: subtropical Guangzhou and Hong Kong, and tropical Singapore, to estimate the disease burden of influenza in these cities. We found that influenza was associated with 10.6, 13.4 and 8.3 deaths per 100,000 population in Guangzhou, Hong Kong and Singapore, respectively. The annual rates of excess deaths in the elders were estimated highest in Guangzhou and lowest in Singapore. The excess death rate attributable to A/H1N1 subtype was found slightly higher than the rates attributable to A/H3N2 during the study period of 2004-2006 based on the data from Hong Kong and Guangzhou. Our study revealed a geographical variation in the disease burden of influenza in these subtropical and tropical cities. These results highlight a need to explore the determinants for severity of seasonal influenza.</p>
</abstract>
</profileDesc>
</hal>
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