Epidemiological Analysis of Influenza A Infection in Cambodian Pigs and Recommendations for Surveillance Strategies.
Identifieur interne : 001739 ( Ncbi/Merge ); précédent : 001738; suivant : 001740Epidemiological Analysis of Influenza A Infection in Cambodian Pigs and Recommendations for Surveillance Strategies.
Auteurs : P. Netrabukkana [Australie] ; J. Cappelle [France] ; C. Trevennec [France] ; F. Roger [France] ; F. Goutard [France] ; P. Buchy [Cambodge] ; I D Robertson [Australie] ; S. Fenwick [Australie]Source :
- Transboundary and emerging diseases [ 1865-1682 ] ; 2015.
Descripteurs français
- KwdFr :
- Animaux, Anticorps antiviraux (sang), Cambodge (épidémiologie), Densité de population, Facteurs de risque, Humains, Infections à Orthomyxoviridae (médecine vétérinaire), Infections à Orthomyxoviridae (virologie), Infections à Orthomyxoviridae (épidémiologie), Maladies des porcs (virologie), Maladies des porcs (épidémiologie), Modèles linéaires, Sous-type H1N1 du virus de la grippe A (immunologie), Sous-type H1N1 du virus de la grippe A (isolement et purification), Sous-type H3N2 du virus de la grippe A (immunologie), Sous-type H3N2 du virus de la grippe A (isolement et purification), Suidae, Sus scrofa, Études séroépidémiologiques.
- MESH :
- immunologie : Sous-type H1N1 du virus de la grippe A, Sous-type H3N2 du virus de la grippe A.
- isolement et purification : Sous-type H1N1 du virus de la grippe A, Sous-type H3N2 du virus de la grippe A.
- médecine vétérinaire : Infections à Orthomyxoviridae.
- sang : Anticorps antiviraux.
- virologie : Infections à Orthomyxoviridae, Maladies des porcs.
- épidémiologie : Cambodge, Infections à Orthomyxoviridae, Maladies des porcs.
- Animaux, Densité de population, Facteurs de risque, Humains, Modèles linéaires, Suidae, Sus scrofa, Études séroépidémiologiques.
- Wicri :
- geographic : Cambodge.
English descriptors
- KwdEn :
- Animals, Antibodies, Viral (blood), Cambodia (epidemiology), Humans, Influenza A Virus, H1N1 Subtype (immunology), Influenza A Virus, H1N1 Subtype (isolation & purification), Influenza A Virus, H3N2 Subtype (immunology), Influenza A Virus, H3N2 Subtype (isolation & purification), Linear Models, Orthomyxoviridae Infections (epidemiology), Orthomyxoviridae Infections (veterinary), Orthomyxoviridae Infections (virology), Population Density, Risk Factors, Seroepidemiologic Studies, Sus scrofa, Swine, Swine Diseases (epidemiology), Swine Diseases (virology).
- MESH :
- chemical , blood : Antibodies, Viral.
- geographic , epidemiology : Cambodia.
- epidemiology : Orthomyxoviridae Infections, Swine Diseases.
- immunology : Influenza A Virus, H1N1 Subtype, Influenza A Virus, H3N2 Subtype.
- isolation & purification : Influenza A Virus, H1N1 Subtype, Influenza A Virus, H3N2 Subtype.
- veterinary : Orthomyxoviridae Infections.
- virology : Orthomyxoviridae Infections, Swine Diseases.
- Animals, Humans, Linear Models, Population Density, Risk Factors, Seroepidemiologic Studies, Sus scrofa, Swine.
Abstract
This study analysed the available data of seroprevalence to human influenza viruses in pigs in Cambodia using generalized linear mixed models in order to improve understanding of factors underlying the spread of human influenza viruses in Cambodian pigs. The associations between seroprevalence against seasonal H1N1 influenza virus in pigs and the population density of humans and pigs were not significant. However, a positive association between anti-H3 antibodies in pigs and the human population density was identified. In contrast, there was a negative association between seroprevalence of H3N2 in pigs and the pig population density. Our study has highlighted the difficulty in identifying epidemiological risk factors when a limited data set is used for analyses. We therefore provide recommendations on data collection for future epidemiological analyses that could be improved by collecting metadata related to the animals sampled. In addition, serosurveillance for influenza A viruses in pigs in high-risk areas or at slaughterhouses is recommended in resource-limited countries.
DOI: 10.1111/tbed.12204
PubMed: 24460959
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pubmed:24460959Le document en format XML
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linear mixed models in order to improve understanding of factors underlying the spread of human influenza viruses in Cambodian pigs. The associations between seroprevalence against seasonal H1N1 influenza virus in pigs and the population density of humans and pigs were not significant. However, a positive association between anti-H3 antibodies in pigs and the human population density was identified. In contrast, there was a negative association between seroprevalence of H3N2 in pigs and the pig population density. Our study has highlighted the difficulty in identifying epidemiological risk factors when a limited data set is used for analyses. We therefore provide recommendations on data collection for future epidemiological analyses that could be improved by collecting metadata related to the animals sampled. In addition, serosurveillance for influenza A viruses in pigs in high-risk areas or at slaughterhouses is recommended in resource-limited countries.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24460959</PMID><DateCreated><Year>2015</Year><Month>09</Month><Day>03</Day></DateCreated><DateCompleted><Year>2016</Year><Month>04</Month><Day>27</Day></DateCompleted><DateRevised><Year>2016</Year><Month>05</Month><Day>11</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1865-1682</ISSN><JournalIssue CitedMedium="Internet"><Volume>62</Volume><Issue>5</Issue><PubDate><Year>2015</Year><Month>Oct</Month></PubDate></JournalIssue><Title>Transboundary and emerging diseases</Title><ISOAbbreviation>Transbound Emerg Dis</ISOAbbreviation></Journal><ArticleTitle>Epidemiological Analysis of Influenza A Infection in Cambodian Pigs and Recommendations for Surveillance Strategies.</ArticleTitle><Pagination><MedlinePgn>e37-44</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1111/tbed.12204</ELocationID><Abstract><AbstractText>This study analysed the available data of seroprevalence to human influenza viruses in pigs in Cambodia using generalized linear mixed models in order to improve understanding of factors underlying the spread of human influenza viruses in Cambodian pigs. The associations between seroprevalence against seasonal H1N1 influenza virus in pigs and the population density of humans and pigs were not significant. However, a positive association between anti-H3 antibodies in pigs and the human population density was identified. In contrast, there was a negative association between seroprevalence of H3N2 in pigs and the pig population density. Our study has highlighted the difficulty in identifying epidemiological risk factors when a limited data set is used for analyses. We therefore provide recommendations on data collection for future epidemiological analyses that could be improved by collecting metadata related to the animals sampled. In addition, serosurveillance for influenza A viruses in pigs in high-risk areas or at slaughterhouses is recommended in resource-limited countries.</AbstractText><CopyrightInformation>© 2014 Blackwell Verlag GmbH.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Netrabukkana</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>College of Veterinary Medicine, Murdoch University, Murdoch, WA, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cappelle</LastName><ForeName>J</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>French Agricultural Research Center for International Development (CIRAD), Animal and Integrated Risk Management Research Unit (AGIRs), Montpellier, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Institut Pasteur in Cambodia, Epidemiology and Public Health Unit, Réseau International des Instituts Pasteur, Phnom Penh, Cambodia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Trevennec</LastName><ForeName>C</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>French Agricultural Research Center for International Development (CIRAD), Animal and Integrated Risk Management Research Unit (AGIRs), Montpellier, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Food and Agriculture Organization of the United Nations, Rome, Italy.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Roger</LastName><ForeName>F</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>French Agricultural Research Center for International Development (CIRAD), Animal and Integrated Risk Management Research Unit (AGIRs), Montpellier, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Faculty of Veterinary Medicine, Kasetsart University, Bangkok, Thailand.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Goutard</LastName><ForeName>F</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>French Agricultural Research Center for International Development (CIRAD), Animal and Integrated Risk Management Research Unit (AGIRs), Montpellier, France.</Affiliation></AffiliationInfo><AffiliationInfo><Affiliation>Faculty of Veterinary Medicine, Kasetsart University, Bangkok, Thailand.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Buchy</LastName><ForeName>P</ForeName><Initials>P</Initials><AffiliationInfo><Affiliation>Institut Pasteur in Cambodia, Virology Unit, Réseau International des Instituts Pasteur, Phnom Penh, Cambodia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Robertson</LastName><ForeName>I D</ForeName><Initials>ID</Initials><AffiliationInfo><Affiliation>College of Veterinary Medicine, Murdoch University, Murdoch, WA, Australia.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Fenwick</LastName><ForeName>S</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>College of Veterinary Medicine, Murdoch University, Murdoch, WA, Australia.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType><PublicationType UI="D013487">Research Support, U.S. Gov't, P.H.S.</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>01</Month><Day>25</Day></ArticleDate></Article><MedlineJournalInfo><Country>Germany</Country><MedlineTA>Transbound Emerg Dis</MedlineTA><NlmUniqueID>101319538</NlmUniqueID><ISSNLinking>1865-1674</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D000914">Antibodies, Viral</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000818" MajorTopicYN="N">Animals</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000914" MajorTopicYN="N">Antibodies, Viral</DescriptorName><QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D002160" MajorTopicYN="N" Type="Geographic">Cambodia</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053118" MajorTopicYN="N">Influenza A Virus, H1N1 Subtype</DescriptorName><QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName><QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D053122" MajorTopicYN="N">Influenza A Virus, H3N2 Subtype</DescriptorName><QualifierName UI="Q000276" MajorTopicYN="N">immunology</QualifierName><QualifierName UI="Q000302" MajorTopicYN="Y">isolation & purification</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016014" MajorTopicYN="N">Linear Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009976" MajorTopicYN="N">Orthomyxoviridae Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000662" MajorTopicYN="Y">veterinary</QualifierName><QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011156" MajorTopicYN="N">Population Density</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016036" MajorTopicYN="N">Seroepidemiologic Studies</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D034421" MajorTopicYN="N">Sus scrofa</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013552" MajorTopicYN="N">Swine</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D013553" MajorTopicYN="N">Swine Diseases</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000821" MajorTopicYN="Y">virology</QualifierName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Cambodia</Keyword><Keyword MajorTopicYN="N">influenza viruses</Keyword><Keyword MajorTopicYN="N">pigs</Keyword><Keyword MajorTopicYN="N">risk factors</Keyword><Keyword MajorTopicYN="N">seroprevalence</Keyword><Keyword MajorTopicYN="N">surveillance</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>04</Month><Day>28</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>1</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>1</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>4</Month><Day>28</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">24460959</ArticleId><ArticleId IdType="doi">10.1111/tbed.12204</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Australie</li><li>Cambodge</li><li>France</li></country><region><li>Languedoc-Roussillon</li><li>Occitanie (région administrative)</li></region><settlement><li>Montpellier</li></settlement></list><tree><country name="Australie"><noRegion><name sortKey="Netrabukkana, P" sort="Netrabukkana, P" uniqKey="Netrabukkana P" first="P" last="Netrabukkana">P. Netrabukkana</name></noRegion><name sortKey="Fenwick, S" sort="Fenwick, S" uniqKey="Fenwick S" first="S" last="Fenwick">S. Fenwick</name><name sortKey="Robertson, I D" sort="Robertson, I D" uniqKey="Robertson I" first="I D" last="Robertson">I D Robertson</name></country><country name="France"><region name="Occitanie (région administrative)"><name sortKey="Cappelle, J" sort="Cappelle, J" uniqKey="Cappelle J" first="J" last="Cappelle">J. Cappelle</name></region><name sortKey="Goutard, F" sort="Goutard, F" uniqKey="Goutard F" first="F" last="Goutard">F. Goutard</name><name sortKey="Roger, F" sort="Roger, F" uniqKey="Roger F" first="F" last="Roger">F. Roger</name><name sortKey="Trevennec, C" sort="Trevennec, C" uniqKey="Trevennec C" first="C" last="Trevennec">C. Trevennec</name></country><country name="Cambodge"><noRegion><name sortKey="Buchy, P" sort="Buchy, P" uniqKey="Buchy P" first="P" last="Buchy">P. 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