Neighborhood determinants of 2009 pandemic A/H1N1 influenza vaccination in Montreal, Quebec, Canada.
Identifieur interne : 000426 ( Main/Exploration ); précédent : 000425; suivant : 000427Neighborhood determinants of 2009 pandemic A/H1N1 influenza vaccination in Montreal, Quebec, Canada.
Auteurs : Stephanie Brien [Canada] ; Jeffrey C. Kwong ; Katia M. Charland ; Aman D. Verma ; John S. Brownstein ; David L. BuckeridgeSource :
- American journal of epidemiology [ 1476-6256 ] ; 2012.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Adulte d'âge moyen, Caractéristiques de l'habitat (), Enfant, Enfant d'âge préscolaire, Enregistrements, Facteurs de l'âge, Facteurs de risque, Facteurs sexuels, Facteurs socioéconomiques, Femelle, Grippe humaine (), Grippe humaine (épidémiologie), Grossesse, Humains, Jeune adulte, Modèles logistiques, Mâle, Nourrisson, Nouveau-né, Pandémies (), Québec (épidémiologie), Sous-type H1N1 du virus de la grippe A, Sujet âgé, Théorème de Bayes, Vaccination (), Vaccins antigrippaux (usage thérapeutique).
- MESH :
- usage thérapeutique : Vaccins antigrippaux.
- épidémiologie : Grippe humaine, Québec.
- Adolescent, Adulte, Adulte d'âge moyen, Caractéristiques de l'habitat, Enfant, Enfant d'âge préscolaire, Enregistrements, Facteurs de l'âge, Facteurs de risque, Facteurs sexuels, Facteurs socioéconomiques, Femelle, Grippe humaine, Grossesse, Humains, Jeune adulte, Modèles logistiques, Mâle, Nourrisson, Nouveau-né, Pandémies, Sous-type H1N1 du virus de la grippe A, Sujet âgé, Théorème de Bayes, Vaccination.
English descriptors
- KwdEn :
- Adolescent, Adult, Age Factors, Aged, Bayes Theorem, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Influenza A Virus, H1N1 Subtype, Influenza Vaccines (therapeutic use), Influenza, Human (epidemiology), Influenza, Human (prevention & control), Logistic Models, Male, Middle Aged, Pandemics (prevention & control), Pandemics (statistics & numerical data), Pregnancy, Quebec (epidemiology), Registries, Residence Characteristics (statistics & numerical data), Risk Factors, Sex Factors, Socioeconomic Factors, Vaccination (statistics & numerical data), Young Adult.
- MESH :
- chemical , therapeutic use : Influenza Vaccines.
- geographic , epidemiology : Quebec.
- epidemiology : Influenza, Human.
- prevention & control : Influenza, Human, Pandemics.
- statistics & numerical data : Pandemics, Residence Characteristics, Vaccination.
- Adolescent, Adult, Age Factors, Aged, Bayes Theorem, Child, Child, Preschool, Female, Humans, Infant, Infant, Newborn, Influenza A Virus, H1N1 Subtype, Logistic Models, Male, Middle Aged, Pregnancy, Registries, Risk Factors, Sex Factors, Socioeconomic Factors, Young Adult.
Abstract
Neighborhood-level analyses of influenza vaccination can identify the characteristics of vulnerable neighborhoods, which can inform public health strategy for future pandemics. In this study, the authors analyzed rates of 2009 pandemic A/H1N1 influenza vaccination in Montreal, Quebec, Canada, using individual-level vaccination records from a vaccination registry with census, survey, and administrative data to estimate the population at risk. The neighborhood socioeconomic and demographic determinants of vaccination were identified using Bayesian ecologic logistic regression, with random effects to account for spatial autocorrelation. A total of 918,773 (49.9%) Montreal residents were vaccinated against pandemic A/H1N1 influenza from October 22, 2009, through April 8, 2010. Coverage was greatest among females, children under age 5 years, and health-care workers. Neighborhood vaccine coverage ranged from 33.6% to 71.0%. Neighborhoods with high percentages of immigrants (per 5% increase, odds ratio = 0.90, 95% credible interval: 0.86, 0.95) and material deprivation (per 1-unit increase in deprivation score, odds ratio = 0.93, 95% credible interval: 0.88, 0.98) had lower vaccine coverage. Half of the Montreal population was vaccinated; however, considerable heterogeneity in coverage was observed between neighborhoods and subgroups. In future vaccination campaigns, neighborhoods that are materially deprived or have high percentages of immigrants may benefit from focused interventions.
DOI: 10.1093/aje/kws154
PubMed: 23077284
Affiliations:
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In this study, the authors analyzed rates of 2009 pandemic A/H1N1 influenza vaccination in Montreal, Quebec, Canada, using individual-level vaccination records from a vaccination registry with census, survey, and administrative data to estimate the population at risk. The neighborhood socioeconomic and demographic determinants of vaccination were identified using Bayesian ecologic logistic regression, with random effects to account for spatial autocorrelation. A total of 918,773 (49.9%) Montreal residents were vaccinated against pandemic A/H1N1 influenza from October 22, 2009, through April 8, 2010. Coverage was greatest among females, children under age 5 years, and health-care workers. Neighborhood vaccine coverage ranged from 33.6% to 71.0%. Neighborhoods with high percentages of immigrants (per 5% increase, odds ratio = 0.90, 95% credible interval: 0.86, 0.95) and material deprivation (per 1-unit increase in deprivation score, odds ratio = 0.93, 95% credible interval: 0.88, 0.98) had lower vaccine coverage. Half of the Montreal population was vaccinated; however, considerable heterogeneity in coverage was observed between neighborhoods and subgroups. In future vaccination campaigns, neighborhoods that are materially deprived or have high percentages of immigrants may benefit from focused interventions.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">23077284</PMID><DateCompleted><Year>2013</Year><Month>01</Month><Day>18</Day></DateCompleted><DateRevised><Year>2018</Year><Month>11</Month><Day>13</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1476-6256</ISSN><JournalIssue CitedMedium="Internet"><Volume>176</Volume><Issue>10</Issue><PubDate><Year>2012</Year><Month>Nov</Month><Day>15</Day></PubDate></JournalIssue><Title>American journal of epidemiology</Title><ISOAbbreviation>Am. J. Epidemiol.</ISOAbbreviation></Journal><ArticleTitle>Neighborhood determinants of 2009 pandemic A/H1N1 influenza vaccination in Montreal, Quebec, Canada.</ArticleTitle><Pagination><MedlinePgn>897-908</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1093/aje/kws154</ELocationID><Abstract><AbstractText>Neighborhood-level analyses of influenza vaccination can identify the characteristics of vulnerable neighborhoods, which can inform public health strategy for future pandemics. In this study, the authors analyzed rates of 2009 pandemic A/H1N1 influenza vaccination in Montreal, Quebec, Canada, using individual-level vaccination records from a vaccination registry with census, survey, and administrative data to estimate the population at risk. The neighborhood socioeconomic and demographic determinants of vaccination were identified using Bayesian ecologic logistic regression, with random effects to account for spatial autocorrelation. A total of 918,773 (49.9%) Montreal residents were vaccinated against pandemic A/H1N1 influenza from October 22, 2009, through April 8, 2010. Coverage was greatest among females, children under age 5 years, and health-care workers. Neighborhood vaccine coverage ranged from 33.6% to 71.0%. Neighborhoods with high percentages of immigrants (per 5% increase, odds ratio = 0.90, 95% credible interval: 0.86, 0.95) and material deprivation (per 1-unit increase in deprivation score, odds ratio = 0.93, 95% credible interval: 0.88, 0.98) had lower vaccine coverage. Half of the Montreal population was vaccinated; however, considerable heterogeneity in coverage was observed between neighborhoods and subgroups. In future vaccination campaigns, neighborhoods that are materially deprived or have high percentages of immigrants may benefit from focused interventions.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Brien</LastName><ForeName>Stephanie</ForeName><Initials>S</Initials><AffiliationInfo><Affiliation>Surveillance Lab, Clinical and Health Informatics Research Group, McGill University, 1140 Pine Avenue West, Montreal, Quebec H3A 1A3, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Kwong</LastName><ForeName>Jeffrey C</ForeName><Initials>JC</Initials></Author><Author ValidYN="Y"><LastName>Charland</LastName><ForeName>Katia M</ForeName><Initials>KM</Initials></Author><Author ValidYN="Y"><LastName>Verma</LastName><ForeName>Aman D</ForeName><Initials>AD</Initials></Author><Author ValidYN="Y"><LastName>Brownstein</LastName><ForeName>John S</ForeName><Initials>JS</Initials></Author><Author ValidYN="Y"><LastName>Buckeridge</LastName><ForeName>David L</ForeName><Initials>DL</Initials></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>R01 LM010812</GrantID><Acronym>LM</Acronym><Agency>NLM NIH HHS</Agency><Country>United States</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2012</Year><Month>10</Month><Day>16</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>Am J Epidemiol</MedlineTA><NlmUniqueID>7910653</NlmUniqueID><ISSNLinking>0002-9262</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D007252">Influenza Vaccines</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D001499" MajorTopicYN="N">Bayes Theorem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002675" MajorTopicYN="N">Child, Preschool</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007223" MajorTopicYN="N">Infant</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007231" MajorTopicYN="N">Infant, Newborn</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D053118" MajorTopicYN="Y">Influenza A Virus, H1N1 Subtype</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D007252" MajorTopicYN="N">Influenza Vaccines</DescriptorName><QualifierName UI="Q000627" MajorTopicYN="Y">therapeutic use</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D007251" MajorTopicYN="N">Influenza, Human</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D016015" MajorTopicYN="N">Logistic Models</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008875" MajorTopicYN="N">Middle Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011247" MajorTopicYN="N">Pregnancy</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D011792" MajorTopicYN="N" Type="Geographic">Quebec</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012042" MajorTopicYN="N">Registries</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012111" MajorTopicYN="N">Residence Characteristics</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012737" MajorTopicYN="N">Sex Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012959" MajorTopicYN="N">Socioeconomic Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014611" MajorTopicYN="N">Vaccination</DescriptorName><QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year><Month>10</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2012</Year><Month>10</Month><Day>19</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate 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IdType="pubmed">11874939</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed><affiliations><list><country><li>Canada</li></country><region><li>Québec</li></region><settlement><li>Montréal</li></settlement><orgName><li>Université McGill</li></orgName></list><tree><noCountry><name sortKey="Brownstein, John S" sort="Brownstein, John S" uniqKey="Brownstein J" first="John S" last="Brownstein">John S. Brownstein</name><name sortKey="Buckeridge, David L" sort="Buckeridge, David L" uniqKey="Buckeridge D" first="David L" last="Buckeridge">David L. Buckeridge</name><name sortKey="Charland, Katia M" sort="Charland, Katia M" uniqKey="Charland K" first="Katia M" last="Charland">Katia M. Charland</name><name sortKey="Kwong, Jeffrey C" sort="Kwong, Jeffrey C" uniqKey="Kwong J" first="Jeffrey C" last="Kwong">Jeffrey C. Kwong</name><name sortKey="Verma, Aman D" sort="Verma, Aman D" uniqKey="Verma A" first="Aman D" last="Verma">Aman D. Verma</name></noCountry><country name="Canada"><region name="Québec"><name sortKey="Brien, Stephanie" sort="Brien, Stephanie" uniqKey="Brien S" first="Stephanie" last="Brien">Stephanie Brien</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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