GrippeEspagneV1, Main, Exploration, bibRecord, 000085

The effectiveness of influenza vaccination in preventing hospitalisations of elderly individuals in two influenza seasons: a multicentre case-control study, Spain, 2013/14 and 2014/15.

Identifieur interne : 000085 ( Main/Exploration ); précédent : 000084; suivant : 000086

The effectiveness of influenza vaccination in preventing hospitalisations of elderly individuals in two influenza seasons: a multicentre case-control study, Spain, 2013/14 and 2014/15.

Auteurs : Angela Domínguez [Espagne] ; Núria Soldevila [Espagne] ; Diana Toledo [Espagne] ; Pere Godoy [Espagne] ; Elena Espejo [Espagne] ; Maria Amelia Fernandez [Espagne] ; José María Mayoral [Espagne] ; Jesús Castilla [Espagne] ; Mikel Egurrola [Espagne] ; Sonia Tamames [Espagne] ; Jenaro Astray [Espagne] ; María Morales-Suárez-Varela [Espagne]

Source :

Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin [ 1560-7917 ] ; 2017.

RBID : pubmed:28857047

Descripteurs français

KwdFr :
- Efficacité du vaccin (MeSH), Espagne (épidémiologie), Femelle (MeSH), Grippe humaine (prévention et contrôle), Grippe humaine (virologie), Grippe humaine (épidémiologie), Hospitalisation (statistiques et données numériques), Humains (MeSH), Modèles logistiques (MeSH), Mâle (MeSH), Saisons (MeSH), 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), Sujet âgé (MeSH), Sujet âgé de 80 ans ou plus (MeSH), Surveillance de la population (MeSH), Vaccination (statistiques et données numériques), Vaccins antigrippaux (administration et posologie), Vaccins antigrippaux (immunologie), Études cas-témoins (MeSH).
MESH :
- administration et posologie : Vaccins antigrippaux.
- immunologie : Sous-type H1N1 du virus de la grippe A, Sous-type H3N2 du virus de la grippe A, Vaccins antigrippaux.
- isolement et purification : Sous-type H1N1 du virus de la grippe A, Sous-type H3N2 du virus de la grippe A.
- prévention et contrôle : Grippe humaine.
- statistiques et données numériques : Hospitalisation, Vaccination.
- virologie : Grippe humaine.
- épidémiologie : Espagne, Grippe humaine.
- Efficacité du vaccin, Femelle, Humains, Modèles logistiques, Mâle, Saisons, Sujet âgé, Sujet âgé de 80 ans ou plus, Surveillance de la population, Études cas-témoins.
Wicri :
- geographic : Espagne.

English descriptors

KwdEn :
- Aged (MeSH), Aged, 80 and over (MeSH), Case-Control Studies (MeSH), Female (MeSH), Hospitalization (statistics & numerical data), Humans (MeSH), 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), Influenza Vaccines (administration & dosage), Influenza Vaccines (immunology), Influenza, Human (epidemiology), Influenza, Human (prevention & control), Influenza, Human (virology), Logistic Models (MeSH), Male (MeSH), Outcome Assessment, Health Care (MeSH), Population Surveillance (MeSH), Seasons (MeSH), Spain (epidemiology), Vaccination (statistics & numerical data), Vaccine Potency (MeSH).
MESH :
- chemical , administration & dosage : Influenza Vaccines.
- geographic , epidemiology : Spain.
- epidemiology : Influenza, Human.
- immunology : Influenza A Virus, H1N1 Subtype, Influenza A Virus, H3N2 Subtype, Influenza Vaccines.
- isolation & purification : Influenza A Virus, H1N1 Subtype, Influenza A Virus, H3N2 Subtype.
- prevention & control : Influenza, Human.
- statistics & numerical data : Hospitalization, Vaccination.
- virology : Influenza, Human.
- Aged, Aged, 80 and over, Case-Control Studies, Female, Humans, Logistic Models, Male, Outcome Assessment, Health Care, Population Surveillance, Seasons, Vaccine Potency.

Abstract

Influenza vaccination may limit the impact of influenza in the community. The aim of this study was to assess the effectiveness of influenza vaccination in preventing hospitalisation in individuals aged ≥ 65 years in Spain. A multicentre case-control study was conducted in 20 Spanish hospitals during 2013/14 and 2014/15. Patients aged ≥ 65 years who were hospitalised with laboratory-confirmed influenza were matched with controls according to sex, age and date of hospitalisation. Adjusted vaccine effectiveness (VE) was calculated by multivariate conditional logistic regression. A total of 728 cases and 1,826 matched controls were included in the study. Overall VE was 36% (95% confidence interval (CI): 22-47). VE was 51% (95% CI: 15-71) in patients without high-risk medical conditions and 30% (95% CI: 14-44) in patients with them. VE was 39% (95% CI: 20-53) in patients aged 65-79 years and 34% (95% CI: 11-51) in patients aged ≥ 80 years, and was greater against the influenza A(H1N1)pdm09 subtype than the A(H3N2) subtype. Influenza vaccination was effective in preventing hospitalisations of elderly individuals.

DOI: 10.2807/1560-7917.ES.2017.22.34.30602
PubMed: 28857047
PubMed Central: PMC5753443

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 00084
to stream Main, to step Curation: 000084

Le document en format XML

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<author><name sortKey="Astray, Jenaro" sort="Astray, Jenaro" uniqKey="Astray J" first="Jenaro" last="Astray">Jenaro Astray</name>
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<author><name sortKey="Morales Suarez Varela, Maria" sort="Morales Suarez Varela, Maria" uniqKey="Morales Suarez Varela M" first="María" last="Morales-Suárez-Varela">María Morales-Suárez-Varela</name>
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<sourceDesc><biblStruct><analytic><title xml:lang="en">The effectiveness of influenza vaccination in preventing hospitalisations of elderly individuals in two influenza seasons: a multicentre case-control study, Spain, 2013/14 and 2014/15.</title>
<author><name sortKey="Dominguez, Angela" sort="Dominguez, Angela" uniqKey="Dominguez A" first="Angela" last="Domínguez">Angela Domínguez</name>
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<author><name sortKey="Soldevila, Nuria" sort="Soldevila, Nuria" uniqKey="Soldevila N" first="Núria" last="Soldevila">Núria Soldevila</name>
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<country xml:lang="fr">Espagne</country>
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<author><name sortKey="Toledo, Diana" sort="Toledo, Diana" uniqKey="Toledo D" first="Diana" last="Toledo">Diana Toledo</name>
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<affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea>
<placeName><settlement type="city">Madrid</settlement>
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<author><name sortKey="Godoy, Pere" sort="Godoy, Pere" uniqKey="Godoy P" first="Pere" last="Godoy">Pere Godoy</name>
<affiliation wicri:level="1"><nlm:affiliation>Institut de Recerca Biomèdica de Lleida, Universitat de Lleida, Lleida, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Institut de Recerca Biomèdica de Lleida, Universitat de Lleida, Lleida</wicri:regionArea>
<wicri:noRegion>Lleida</wicri:noRegion>
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<affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
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<region nuts="2" type="region">Communauté de Madrid</region>
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<country xml:lang="fr">Espagne</country>
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<author><name sortKey="Espejo, Elena" sort="Espejo, Elena" uniqKey="Espejo E" first="Elena" last="Espejo">Elena Espejo</name>
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<author><name sortKey="Fernandez, Maria Amelia" sort="Fernandez, Maria Amelia" uniqKey="Fernandez M" first="Maria Amelia" last="Fernandez">Maria Amelia Fernandez</name>
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<author><name sortKey="Mayoral, Jose Maria" sort="Mayoral, Jose Maria" uniqKey="Mayoral J" first="José María" last="Mayoral">José María Mayoral</name>
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<wicri:noRegion>Sevilla</wicri:noRegion>
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<author><name sortKey="Castilla, Jesus" sort="Castilla, Jesus" uniqKey="Castilla J" first="Jesús" last="Castilla">Jesús Castilla</name>
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<placeName><settlement type="city">Madrid</settlement>
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</placeName>
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<affiliation wicri:level="1"><nlm:affiliation>Instituto de Salud Pública de Navarra (IdiSNA), Pamplona, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
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<author><name sortKey="Egurrola, Mikel" sort="Egurrola, Mikel" uniqKey="Egurrola M" first="Mikel" last="Egurrola">Mikel Egurrola</name>
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<country xml:lang="fr">Espagne</country>
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<wicri:noRegion>Usansolo</wicri:noRegion>
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<author><name sortKey="Tamames, Sonia" sort="Tamames, Sonia" uniqKey="Tamames S" first="Sonia" last="Tamames">Sonia Tamames</name>
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<country xml:lang="fr">Espagne</country>
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<wicri:noRegion>León</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Astray, Jenaro" sort="Astray, Jenaro" uniqKey="Astray J" first="Jenaro" last="Astray">Jenaro Astray</name>
<affiliation wicri:level="3"><nlm:affiliation>Consejería de Sanidad, Madrid, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Consejería de Sanidad, Madrid</wicri:regionArea>
<placeName><settlement type="city">Madrid</settlement>
<region nuts="2" type="region">Communauté de Madrid</region>
</placeName>
</affiliation>
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<author><name sortKey="Morales Suarez Varela, Maria" sort="Morales Suarez Varela, Maria" uniqKey="Morales Suarez Varela M" first="María" last="Morales-Suárez-Varela">María Morales-Suárez-Varela</name>
<affiliation wicri:level="3"><nlm:affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid</wicri:regionArea>
<placeName><settlement type="city">Madrid</settlement>
<region nuts="2" type="region">Communauté de Madrid</region>
</placeName>
</affiliation>
<affiliation wicri:level="1"><nlm:affiliation>Departamento de Medicina Preventiva, Universidad de Valencia, Valencia, Spain.</nlm:affiliation>
<country xml:lang="fr">Espagne</country>
<wicri:regionArea>Departamento de Medicina Preventiva, Universidad de Valencia, Valencia</wicri:regionArea>
<wicri:noRegion>Valencia</wicri:noRegion>
</affiliation>
</author>
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<series><title level="j">Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin</title>
<idno type="eISSN">1560-7917</idno>
<imprint><date when="2017" type="published">2017</date>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Case-Control Studies (MeSH)</term>
<term>Female (MeSH)</term>
<term>Hospitalization (statistics & numerical data)</term>
<term>Humans (MeSH)</term>
<term>Influenza A Virus, H1N1 Subtype (immunology)</term>
<term>Influenza A Virus, H1N1 Subtype (isolation & purification)</term>
<term>Influenza A Virus, H3N2 Subtype (immunology)</term>
<term>Influenza A Virus, H3N2 Subtype (isolation & purification)</term>
<term>Influenza Vaccines (administration & dosage)</term>
<term>Influenza Vaccines (immunology)</term>
<term>Influenza, Human (epidemiology)</term>
<term>Influenza, Human (prevention & control)</term>
<term>Influenza, Human (virology)</term>
<term>Logistic Models (MeSH)</term>
<term>Male (MeSH)</term>
<term>Outcome Assessment, Health Care (MeSH)</term>
<term>Population Surveillance (MeSH)</term>
<term>Seasons (MeSH)</term>
<term>Spain (epidemiology)</term>
<term>Vaccination (statistics & numerical data)</term>
<term>Vaccine Potency (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Efficacité du vaccin (MeSH)</term>
<term>Espagne (épidémiologie)</term>
<term>Femelle (MeSH)</term>
<term>Grippe humaine (prévention et contrôle)</term>
<term>Grippe humaine (virologie)</term>
<term>Grippe humaine (épidémiologie)</term>
<term>Hospitalisation (statistiques et données numériques)</term>
<term>Humains (MeSH)</term>
<term>Modèles logistiques (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Saisons (MeSH)</term>
<term>Sous-type H1N1 du virus de la grippe A (immunologie)</term>
<term>Sous-type H1N1 du virus de la grippe A (isolement et purification)</term>
<term>Sous-type H3N2 du virus de la grippe A (immunologie)</term>
<term>Sous-type H3N2 du virus de la grippe A (isolement et purification)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Surveillance de la population (MeSH)</term>
<term>Vaccination (statistiques et données numériques)</term>
<term>Vaccins antigrippaux (administration et posologie)</term>
<term>Vaccins antigrippaux (immunologie)</term>
<term>Études cas-témoins (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" qualifier="administration & dosage" xml:lang="en"><term>Influenza Vaccines</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Spain</term>
</keywords>
<keywords scheme="MESH" qualifier="administration et posologie" xml:lang="fr"><term>Vaccins antigrippaux</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="immunologie" xml:lang="fr"><term>Sous-type H1N1 du virus de la grippe A</term>
<term>Sous-type H3N2 du virus de la grippe A</term>
<term>Vaccins antigrippaux</term>
</keywords>
<keywords scheme="MESH" qualifier="immunology" xml:lang="en"><term>Influenza A Virus, H1N1 Subtype</term>
<term>Influenza A Virus, H3N2 Subtype</term>
<term>Influenza Vaccines</term>
</keywords>
<keywords scheme="MESH" qualifier="isolation & purification" xml:lang="en"><term>Influenza A Virus, H1N1 Subtype</term>
<term>Influenza A Virus, H3N2 Subtype</term>
</keywords>
<keywords scheme="MESH" qualifier="isolement et purification" xml:lang="fr"><term>Sous-type H1N1 du virus de la grippe A</term>
<term>Sous-type H3N2 du virus de la grippe A</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="prévention et contrôle" xml:lang="fr"><term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Hospitalization</term>
<term>Vaccination</term>
</keywords>
<keywords scheme="MESH" qualifier="statistiques et données numériques" xml:lang="fr"><term>Hospitalisation</term>
<term>Vaccination</term>
</keywords>
<keywords scheme="MESH" qualifier="virologie" xml:lang="fr"><term>Grippe humaine</term>
</keywords>
<keywords scheme="MESH" qualifier="virology" xml:lang="en"><term>Influenza, Human</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Espagne</term>
<term>Grippe humaine</term>
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<term>Aged, 80 and over</term>
<term>Case-Control Studies</term>
<term>Female</term>
<term>Humans</term>
<term>Logistic Models</term>
<term>Male</term>
<term>Outcome Assessment, Health Care</term>
<term>Population Surveillance</term>
<term>Seasons</term>
<term>Vaccine Potency</term>
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<keywords scheme="MESH" xml:lang="fr"><term>Efficacité du vaccin</term>
<term>Femelle</term>
<term>Humains</term>
<term>Modèles logistiques</term>
<term>Mâle</term>
<term>Saisons</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Surveillance de la population</term>
<term>Études cas-témoins</term>
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<front><div type="abstract" xml:lang="en">Influenza vaccination may limit the impact of influenza in the community. The aim of this study was to assess the effectiveness of influenza vaccination in preventing hospitalisation in individuals aged ≥ 65 years in Spain. A multicentre case-control study was conducted in 20 Spanish hospitals during 2013/14 and 2014/15. Patients aged ≥ 65 years who were hospitalised with laboratory-confirmed influenza were matched with controls according to sex, age and date of hospitalisation. Adjusted vaccine effectiveness (VE) was calculated by multivariate conditional logistic regression. A total of 728 cases and 1,826 matched controls were included in the study. Overall VE was 36% (95% confidence interval (CI): 22-47). VE was 51% (95% CI: 15-71) in patients without high-risk medical conditions and 30% (95% CI: 14-44) in patients with them. VE was 39% (95% CI: 20-53) in patients aged 65-79 years and 34% (95% CI: 11-51) in patients aged ≥ 80 years, and was greater against the influenza A(H1N1)pdm09 subtype than the A(H3N2) subtype. Influenza vaccination was effective in preventing hospitalisations of elderly individuals.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">28857047</PMID>
<DateCompleted><Year>2018</Year>
<Month>03</Month>
<Day>06</Day>
</DateCompleted>
<DateRevised><Year>2019</Year>
<Month>12</Month>
<Day>10</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Electronic">1560-7917</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>22</Volume>
<Issue>34</Issue>
<PubDate><Year>2017</Year>
<Month>08</Month>
<Day>24</Day>
</PubDate>
</JournalIssue>
<Title>Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin</Title>
<ISOAbbreviation>Euro Surveill.</ISOAbbreviation>
</Journal>
<ArticleTitle>The effectiveness of influenza vaccination in preventing hospitalisations of elderly individuals in two influenza seasons: a multicentre case-control study, Spain, 2013/14 and 2014/15.</ArticleTitle>
<ELocationID EIdType="doi" ValidYN="Y">10.2807/1560-7917.ES.2017.22.34.30602</ELocationID>
<Abstract><AbstractText>Influenza vaccination may limit the impact of influenza in the community. The aim of this study was to assess the effectiveness of influenza vaccination in preventing hospitalisation in individuals aged ≥ 65 years in Spain. A multicentre case-control study was conducted in 20 Spanish hospitals during 2013/14 and 2014/15. Patients aged ≥ 65 years who were hospitalised with laboratory-confirmed influenza were matched with controls according to sex, age and date of hospitalisation. Adjusted vaccine effectiveness (VE) was calculated by multivariate conditional logistic regression. A total of 728 cases and 1,826 matched controls were included in the study. Overall VE was 36% (95% confidence interval (CI): 22-47). VE was 51% (95% CI: 15-71) in patients without high-risk medical conditions and 30% (95% CI: 14-44) in patients with them. VE was 39% (95% CI: 20-53) in patients aged 65-79 years and 34% (95% CI: 11-51) in patients aged ≥ 80 years, and was greater against the influenza A(H1N1)pdm09 subtype than the A(H3N2) subtype. Influenza vaccination was effective in preventing hospitalisations of elderly individuals.</AbstractText>
<CopyrightInformation>This article is copyright of The Authors, 2017.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Domínguez</LastName>
<ForeName>Angela</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Soldevila</LastName>
<ForeName>Núria</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Toledo</LastName>
<ForeName>Diana</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Departament de Medicina, Universitat de Barcelona, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Godoy</LastName>
<ForeName>Pere</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Institut de Recerca Biomèdica de Lleida, Universitat de Lleida, Lleida, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Agència de Salut Pública de Catalunya, Barcelona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Espejo</LastName>
<ForeName>Elena</ForeName>
<Initials>E</Initials>
<AffiliationInfo><Affiliation>Hospital de Terrassa, Terrassa, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fernandez</LastName>
<ForeName>Maria Amelia</ForeName>
<Initials>MA</Initials>
<AffiliationInfo><Affiliation>Complejo Hospitalario Universitario de Granada, Granada, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Mayoral</LastName>
<ForeName>José María</ForeName>
<Initials>JM</Initials>
<AffiliationInfo><Affiliation>Servicio de Vigilancia de Andalucía, Sevilla, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Castilla</LastName>
<ForeName>Jesús</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Instituto de Salud Pública de Navarra (IdiSNA), Pamplona, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Egurrola</LastName>
<ForeName>Mikel</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>Hospital de Galdakao, Usansolo, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tamames</LastName>
<ForeName>Sonia</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Dirección General de Salud Pública, Investigación, Desarrollo e Innovación, Junta de Castilla y León, León, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Astray</LastName>
<ForeName>Jenaro</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Consejería de Sanidad, Madrid, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Morales-Suárez-Varela</LastName>
<ForeName>María</ForeName>
<Initials>M</Initials>
<AffiliationInfo><Affiliation>CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.</Affiliation>
</AffiliationInfo>
<AffiliationInfo><Affiliation>Departamento de Medicina Preventiva, Universidad de Valencia, Valencia, Spain.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><CollectiveName>The Working Group Of The Project Pi/</CollectiveName>
<AffiliationInfo><Affiliation>The members of the Working Group are listed at the end of the article.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D016448">Multicenter Study</PublicationType>
</PublicationTypeList>
</Article>
<MedlineJournalInfo><Country>Sweden</Country>
<MedlineTA>Euro Surveill</MedlineTA>
<NlmUniqueID>100887452</NlmUniqueID>
<ISSNLinking>1025-496X</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D007252">Influenza Vaccines</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000369" MajorTopicYN="N">Aged, 80 and over</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016022" MajorTopicYN="N">Case-Control Studies</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006760" MajorTopicYN="N">Hospitalization</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="Y">statistics & numerical data</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="Y">immunology</QualifierName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D053122" MajorTopicYN="N">Influenza A Virus, H3N2 Subtype</DescriptorName>
<QualifierName UI="Q000276" MajorTopicYN="Y">immunology</QualifierName>
<QualifierName UI="Q000302" MajorTopicYN="N">isolation & purification</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007252" MajorTopicYN="N">Influenza Vaccines</DescriptorName>
<QualifierName UI="Q000008" MajorTopicYN="Y">administration & dosage</QualifierName>
<QualifierName UI="Q000276" MajorTopicYN="N">immunology</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>
<QualifierName UI="Q000821" MajorTopicYN="N">virology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016015" MajorTopicYN="N">Logistic Models</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017063" MajorTopicYN="N">Outcome Assessment, Health Care</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011159" MajorTopicYN="N">Population Surveillance</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013030" MajorTopicYN="N" Type="Geographic">Spain</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014611" MajorTopicYN="N">Vaccination</DescriptorName>
<QualifierName UI="Q000706" MajorTopicYN="N">statistics & numerical data</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D064166" MajorTopicYN="Y">Vaccine Potency</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="Y">effectiveness</Keyword>
<Keyword MajorTopicYN="Y">elderly</Keyword>
<Keyword MajorTopicYN="Y">hospitalised cases, hospitalised controls</Keyword>
<Keyword MajorTopicYN="Y">influenza</Keyword>
<Keyword MajorTopicYN="Y">matched case–control</Keyword>
<Keyword MajorTopicYN="Y">vaccination</Keyword>
</KeywordList>
<InvestigatorList><Investigator ValidYN="Y"><LastName>Mayoral</LastName>
<ForeName>J M</ForeName>
<Initials>JM</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Díaz-Borrego</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Morillo</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Pérez-Lozano</LastName>
<ForeName>M J</ForeName>
<Initials>MJ</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Gutiérrez</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Pérez-Ruiz</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Fernández-Sierra</LastName>
<ForeName>M A</ForeName>
<Initials>MA</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Tamames</LastName>
<ForeName>S</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Rojo-Rello</LastName>
<ForeName>S</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Ortiz de Lejarazu</LastName>
<ForeName>R</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Fernández-Natal</LastName>
<ForeName>M I</ForeName>
<Initials>MI</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Fernández-Villa</LastName>
<ForeName>T</ForeName>
<Initials>T</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Pueyo</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Martin</LastName>
<ForeName>Vicente</ForeName>
<Initials>V</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Vilella</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Campins</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Antón</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Navarro</LastName>
<ForeName>G</ForeName>
<Initials>G</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Riera</LastName>
<ForeName>M</ForeName>
<Initials>M</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Espejo</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Mas</LastName>
<ForeName>M D</ForeName>
<Initials>MD</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Pérez</LastName>
<ForeName>R</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Cayla</LastName>
<ForeName>J A</ForeName>
<Initials>JA</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Rius</LastName>
<ForeName>C</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Godoy</LastName>
<ForeName>P</ForeName>
<Initials>P</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Torner</LastName>
<ForeName>N</ForeName>
<Initials>N</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Izquierdo</LastName>
<ForeName>C</ForeName>
<Initials>C</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Torra</LastName>
<ForeName>R</ForeName>
<Initials>R</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Force</LastName>
<ForeName>L</ForeName>
<Initials>L</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Domínguez</LastName>
<ForeName>A</ForeName>
<Initials>A</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Soldevila</LastName>
<ForeName>N</ForeName>
<Initials>N</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Crespo</LastName>
<ForeName>I</ForeName>
<Initials>I</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Toledo</LastName>
<ForeName>D</ForeName>
<Initials>D</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Astray</LastName>
<ForeName>J</ForeName>
<Initials>J</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Domínguez-Berjon</LastName>
<ForeName>M F</ForeName>
</Investigator>
<Investigator ValidYN="Y"><LastName>Gutiérrez</LastName>
<ForeName>M A</ForeName>
<Initials>MA</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Jiménez</LastName>
<ForeName>S</ForeName>
<Initials>S</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Gil</LastName>
<ForeName>E</ForeName>
<Initials>E</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Martín</LastName>
<ForeName>F</ForeName>
<Initials>F</Initials>
</Investigator>
<Investigator ValidYN="Y"><LastName>Génova-Maleras</LastName>
<ForeName>R</ForeName>
<Initials>R</Initials>
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The effectiveness of influenza vaccination in preventing hospitalisations of elderly individuals in two influenza seasons: a multicentre case-control study, Spain, 2013/14 and 2014/15.

The effectiveness of influenza vaccination in preventing hospitalisations of elderly individuals in two influenza seasons: a multicentre case-control study, Spain, 2013/14 and 2014/15.

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