Ten influenza seasons in France: distribution and timing of influenza A and B circulation, 2003–2013 View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-08-21

AUTHORS

Anne Mosnier, Saverio Caini, Isabelle Daviaud, Jean-Louis Bensoussan, Françoise Stoll-Keller, Tan Tai Bui, Bruno Lina, Sylvie Van der Werf, Jean Marie Cohen,

ABSTRACT

BACKGROUND: Describing the circulation of influenza viruses and the characteristics of seasonal epidemics remains an essential tool to optimize the strategies of influenza prevention and control. Special attention has been recently paid to influenza B in the context of the availability of a quadrivalent vaccine, containing two influenza B strains. METHODS: We used data from a practitioners-based influenza surveillance network to describe the circulation of influenza viruses in France from 2003-2004 to 2012-2013. Nasopharyngeal swabs taken from acute respiratory infection (ARI) patients between October and April were tested for influenza. We reported the number of influenza cases by virus type (A, B), subtype (A(H1), A(H3)) and B lineage (Yamagata, Victoria) in each season and determined the frequency of influenza B vaccine mismatch. We estimated weekly incidence of influenza by extrapolating reported influenza cases to the French population. We compared the temporal characteristics of the epidemics caused by influenza A(H1), A(H3) and B. RESULTS: Overall, 49,919 ARI patients were tested, of which 16,287 (32.6 %) were positive for influenza. Type B virus caused 23.7 % of all influenza cases. Virus subtypes A(H1) and A(H3) caused 51.6 % and 48.4 % of influenza A cases, respectively. Viruses of the B-Yamagata and B-Victoria lineage caused 62.8 % and 37.2 % of influenza B cases, respectively. There was an influenza B vaccine mismatch in three of the five seasons where influenza B caused 10 % or more of all influenza cases. Influenza A(H3) had the highest average value of estimated weekly incidence during the study period. Influenza B peaked an average 3.8 weeks later than influenza A when both virus types were circulating. No differences in the duration of influenza A and B epidemics were observed. CONCLUSIONS: Influenza A(H3) was the most prevalent influenza type during the study period. Influenza B caused around one fourth of all influenza cases and tended to circulate later than influenza A. The frequency of influenza B vaccine mismatches was substantial. Timely data on the circulation of influenza viruses collected within influenza surveillance systems are essential to optimize influenza prevention and control strategies. More... »

PAGES

357

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12879-015-1056-z

DOI

http://dx.doi.org/10.1186/s12879-015-1056-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1011990707

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26289794


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Child, Preschool", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "France", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Incidence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Influenza A Virus, H1N1 Subtype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Influenza A Virus, H3N2 Subtype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Influenza A virus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Influenza B virus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Influenza Vaccines", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Influenza, Human", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Population Surveillance", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Seasons", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Vaccination", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "R\u00e9seau des GROG, 67 rue du Poteau, 75018 Paris, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Open Rome (Organize and Promote Epidemiological Network), 67 rue du Poteau, 75018 Paris, France", 
            "R\u00e9seau des GROG, 67 rue du Poteau, 75018 Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mosnier", 
        "givenName": "Anne", 
        "id": "sg:person.0671725063.90", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671725063.90"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Open Rome (Organize and Promote Epidemiological Network), 67 rue du Poteau, 75018 Paris, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Open Rome (Organize and Promote Epidemiological Network), 67 rue du Poteau, 75018 Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Caini", 
        "givenName": "Saverio", 
        "id": "sg:person.01161605365.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161605365.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "R\u00e9seau des GROG, 67 rue du Poteau, 75018 Paris, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Open Rome (Organize and Promote Epidemiological Network), 67 rue du Poteau, 75018 Paris, France", 
            "R\u00e9seau des GROG, 67 rue du Poteau, 75018 Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Daviaud", 
        "givenName": "Isabelle", 
        "id": "sg:person.0767266102.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767266102.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "R\u00e9seau des GROG, 67 rue du Poteau, 75018 Paris, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "R\u00e9seau des GROG, 67 rue du Poteau, 75018 Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bensoussan", 
        "givenName": "Jean-Louis", 
        "id": "sg:person.01113146525.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113146525.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de Virologie, CHU de Strasbourg, Strasbourg, France", 
          "id": "http://www.grid.ac/institutes/grid.412220.7", 
          "name": [
            "Laboratoire de Virologie, CHU de Strasbourg, Strasbourg, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Stoll-Keller", 
        "givenName": "Fran\u00e7oise", 
        "id": "sg:person.0646250511.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646250511.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Open Rome (Organize and Promote Epidemiological Network), 67 rue du Poteau, 75018 Paris, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Open Rome (Organize and Promote Epidemiological Network), 67 rue du Poteau, 75018 Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bui", 
        "givenName": "Tan Tai", 
        "id": "sg:person.01222375227.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222375227.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "CNR des virus influenzae, CBPE, HCL & Virpath, UCBL, Universit\u00e9 de Lyon, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.25697.3f", 
          "name": [
            "CNR des virus influenzae, CBPE, HCL & Virpath, UCBL, Universit\u00e9 de Lyon, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lina", 
        "givenName": "Bruno", 
        "id": "sg:person.01037352365.98", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037352365.98"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "CNR des virus influenzae, GMVR Institut Pasteur, CNRS UMR3569, Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.508487.6", 
          "name": [
            "CNR des virus influenzae, GMVR Institut Pasteur, CNRS UMR3569, Universit\u00e9 Paris Diderot, Sorbonne Paris Cit\u00e9, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Van der Werf", 
        "givenName": "Sylvie", 
        "id": "sg:person.01156316206.12", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156316206.12"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "R\u00e9seau des GROG, 67 rue du Poteau, 75018 Paris, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Open Rome (Organize and Promote Epidemiological Network), 67 rue du Poteau, 75018 Paris, France", 
            "R\u00e9seau des GROG, 67 rue du Poteau, 75018 Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cohen", 
        "givenName": "Jean Marie", 
        "id": "sg:person.01024137402.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024137402.24"
        ], 
        "type": "Person"
      }, 
      {}
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1186/1471-2458-14-56", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029511781", 
          "https://doi.org/10.1186/1471-2458-14-56"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2165/11641110-000000000-00000", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045978407", 
          "https://doi.org/10.2165/11641110-000000000-00000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00144828", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011327533", 
          "https://doi.org/10.1007/bf00144828"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-08-21", 
    "datePublishedReg": "2015-08-21", 
    "description": "BACKGROUND: Describing the circulation of influenza viruses and the characteristics of seasonal epidemics remains an essential tool to optimize the strategies of influenza prevention and control. Special attention has been recently paid to influenza B in the context of the availability of a quadrivalent vaccine, containing two influenza B strains.\nMETHODS: We used data from a practitioners-based influenza surveillance network to describe the circulation of influenza viruses in France from 2003-2004 to 2012-2013. Nasopharyngeal swabs taken from acute respiratory infection (ARI) patients between October and April were tested for influenza. We reported the number of influenza cases by virus type (A, B), subtype (A(H1), A(H3)) and B lineage (Yamagata, Victoria) in each season and determined the frequency of influenza B vaccine mismatch. We estimated weekly incidence of influenza by extrapolating reported influenza cases to the French population. We compared the temporal characteristics of the epidemics caused by influenza A(H1), A(H3) and B.\nRESULTS: Overall, 49,919 ARI patients were tested, of which 16,287 (32.6 %) were positive for influenza. Type B virus caused 23.7 % of all influenza cases. Virus subtypes A(H1) and A(H3) caused 51.6 % and 48.4 % of influenza A cases, respectively. Viruses of the B-Yamagata and B-Victoria lineage caused 62.8 % and 37.2 % of influenza B cases, respectively. There was an influenza B vaccine mismatch in three of the five seasons where influenza B caused 10 % or more of all influenza cases. Influenza A(H3) had the highest average value of estimated weekly incidence during the study period. Influenza B peaked an average 3.8 weeks later than influenza A when both virus types were circulating. No differences in the duration of influenza A and B epidemics were observed.\nCONCLUSIONS: Influenza A(H3) was the most prevalent influenza type during the study period. Influenza B caused around one fourth of all influenza cases and tended to circulate later than influenza A. The frequency of influenza B vaccine mismatches was substantial. Timely data on the circulation of influenza viruses collected within influenza surveillance systems are essential to optimize influenza prevention and control strategies.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12879-015-1056-z", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024946", 
        "issn": [
          "1471-2334"
        ], 
        "name": "BMC Infectious Diseases", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "15"
      }
    ], 
    "keywords": [
      "influenza B", 
      "influenza cases", 
      "vaccine mismatch", 
      "influenza A", 
      "influenza virus", 
      "influenza prevention", 
      "virus type", 
      "weekly incidence", 
      "study period", 
      "influenza B cases", 
      "type B viruses", 
      "influenza surveillance system", 
      "Influenza Surveillance Network", 
      "ARI patients", 
      "quadrivalent vaccine", 
      "infection patients", 
      "influenza season", 
      "Victoria lineage", 
      "nasopharyngeal swabs", 
      "B virus", 
      "influenza type", 
      "influenza A.", 
      "seasonal epidemics", 
      "virus subtypes", 
      "influenza", 
      "virus", 
      "patients", 
      "surveillance network", 
      "epidemic", 
      "French population", 
      "subtypes", 
      "incidence", 
      "surveillance system", 
      "prevention", 
      "circulation", 
      "vaccine", 
      "cases", 
      "swabs", 
      "weeks", 
      "timely data", 
      "period", 
      "duration", 
      "Yamagata", 
      "fourth", 
      "population", 
      "frequency", 
      "types", 
      "data", 
      "differences", 
      "control", 
      "strategies", 
      "lineages", 
      "A.", 
      "timing", 
      "essential tool", 
      "temporal characteristics", 
      "higher average values", 
      "characteristics", 
      "special attention", 
      "number", 
      "France", 
      "results", 
      "availability", 
      "values", 
      "tool", 
      "mismatch", 
      "attention", 
      "average value", 
      "season", 
      "system", 
      "distribution", 
      "context", 
      "control strategy", 
      "network", 
      "practitioners-based influenza surveillance network", 
      "acute respiratory infection (ARI) patients", 
      "respiratory infection (ARI) patients", 
      "influenza B vaccine mismatch", 
      "B vaccine mismatch", 
      "B cases", 
      "prevalent influenza type"
    ], 
    "name": "Ten influenza seasons in France: distribution and timing of influenza A and B circulation, 2003\u20132013", 
    "pagination": "357", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1011990707"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12879-015-1056-z"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26289794"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12879-015-1056-z", 
      "https://app.dimensions.ai/details/publication/pub.1011990707"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-01-01T18:37", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_669.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12879-015-1056-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12879-015-1056-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12879-015-1056-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12879-015-1056-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12879-015-1056-z'


 

This table displays all metadata directly associated to this object as RDF triples.

291 TRIPLES      22 PREDICATES      127 URIs      116 LITERALS      24 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12879-015-1056-z schema:about N111f74b1da95424fb8fcd227796fcc3d
2 N2ee09fa9861542c983afd272a54d2acb
3 N72da36d0abe14c9996dcfb6a4a49e212
4 N77ba97d6c6f14bc4a17d46a01e641a33
5 N7c049842c4d24b84866115a7e7c87d2f
6 N87ffb83435fa4fbfb3da6ee7cdea6a5c
7 N8d8847989df14d088af3c094988dd454
8 N92a8508978d84ab3b0f12524413f899b
9 Na3c6b5a2ac6f4b05b71313bdc9d9aa75
10 Naa90b98be5ec49c3a2ae9fcc2b5ce17a
11 Nab35f489c6054baa8d8f16582dad4c81
12 Nc283594b2b18476ba3276ed8301bb9b6
13 Ncd247e33d5bb4de795e3768ec9b1b169
14 Ne420e7b21d3f4d7fb0f5211f519185e0
15 Ne59b560c9cd54b29b4a70f2b7ce3b113
16 Ne5b4fee38e124fbb88bee61358ccd89c
17 Nf5cec969a2a84527b186399212b95a0b
18 anzsrc-for:11
19 anzsrc-for:1117
20 schema:author N7492a2428bc741dc800b9f112290f36c
21 schema:citation sg:pub.10.1007/bf00144828
22 sg:pub.10.1186/1471-2458-14-56
23 sg:pub.10.2165/11641110-000000000-00000
24 schema:datePublished 2015-08-21
25 schema:datePublishedReg 2015-08-21
26 schema:description BACKGROUND: Describing the circulation of influenza viruses and the characteristics of seasonal epidemics remains an essential tool to optimize the strategies of influenza prevention and control. Special attention has been recently paid to influenza B in the context of the availability of a quadrivalent vaccine, containing two influenza B strains. METHODS: We used data from a practitioners-based influenza surveillance network to describe the circulation of influenza viruses in France from 2003-2004 to 2012-2013. Nasopharyngeal swabs taken from acute respiratory infection (ARI) patients between October and April were tested for influenza. We reported the number of influenza cases by virus type (A, B), subtype (A(H1), A(H3)) and B lineage (Yamagata, Victoria) in each season and determined the frequency of influenza B vaccine mismatch. We estimated weekly incidence of influenza by extrapolating reported influenza cases to the French population. We compared the temporal characteristics of the epidemics caused by influenza A(H1), A(H3) and B. RESULTS: Overall, 49,919 ARI patients were tested, of which 16,287 (32.6 %) were positive for influenza. Type B virus caused 23.7 % of all influenza cases. Virus subtypes A(H1) and A(H3) caused 51.6 % and 48.4 % of influenza A cases, respectively. Viruses of the B-Yamagata and B-Victoria lineage caused 62.8 % and 37.2 % of influenza B cases, respectively. There was an influenza B vaccine mismatch in three of the five seasons where influenza B caused 10 % or more of all influenza cases. Influenza A(H3) had the highest average value of estimated weekly incidence during the study period. Influenza B peaked an average 3.8 weeks later than influenza A when both virus types were circulating. No differences in the duration of influenza A and B epidemics were observed. CONCLUSIONS: Influenza A(H3) was the most prevalent influenza type during the study period. Influenza B caused around one fourth of all influenza cases and tended to circulate later than influenza A. The frequency of influenza B vaccine mismatches was substantial. Timely data on the circulation of influenza viruses collected within influenza surveillance systems are essential to optimize influenza prevention and control strategies.
27 schema:genre article
28 schema:inLanguage en
29 schema:isAccessibleForFree true
30 schema:isPartOf N46ea74aac718450c868b720d2ebdc348
31 Nf7745e171e054c5493221d1146e3a706
32 sg:journal.1024946
33 schema:keywords A.
34 ARI patients
35 B cases
36 B vaccine mismatch
37 B virus
38 France
39 French population
40 Influenza Surveillance Network
41 Victoria lineage
42 Yamagata
43 acute respiratory infection (ARI) patients
44 attention
45 availability
46 average value
47 cases
48 characteristics
49 circulation
50 context
51 control
52 control strategy
53 data
54 differences
55 distribution
56 duration
57 epidemic
58 essential tool
59 fourth
60 frequency
61 higher average values
62 incidence
63 infection patients
64 influenza
65 influenza A
66 influenza A.
67 influenza B
68 influenza B cases
69 influenza B vaccine mismatch
70 influenza cases
71 influenza prevention
72 influenza season
73 influenza surveillance system
74 influenza type
75 influenza virus
76 lineages
77 mismatch
78 nasopharyngeal swabs
79 network
80 number
81 patients
82 period
83 population
84 practitioners-based influenza surveillance network
85 prevalent influenza type
86 prevention
87 quadrivalent vaccine
88 respiratory infection (ARI) patients
89 results
90 season
91 seasonal epidemics
92 special attention
93 strategies
94 study period
95 subtypes
96 surveillance network
97 surveillance system
98 swabs
99 system
100 temporal characteristics
101 timely data
102 timing
103 tool
104 type B viruses
105 types
106 vaccine
107 vaccine mismatch
108 values
109 virus
110 virus subtypes
111 virus type
112 weekly incidence
113 weeks
114 schema:name Ten influenza seasons in France: distribution and timing of influenza A and B circulation, 2003–2013
115 schema:pagination 357
116 schema:productId N709ca0d209fc4a8aa05ad88e4f531afa
117 Nb9f1bcff632f42a491f67df14623fabb
118 Nefb725e26ec24aff86fa9b68066c661e
119 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011990707
120 https://doi.org/10.1186/s12879-015-1056-z
121 schema:sdDatePublished 2022-01-01T18:37
122 schema:sdLicense https://scigraph.springernature.com/explorer/license/
123 schema:sdPublisher Ne8820e2905864be0b717868da14c040a
124 schema:url https://doi.org/10.1186/s12879-015-1056-z
125 sgo:license sg:explorer/license/
126 sgo:sdDataset articles
127 rdf:type schema:ScholarlyArticle
128 N111f74b1da95424fb8fcd227796fcc3d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Influenza Vaccines
130 rdf:type schema:DefinedTerm
131 N20eadfc69b654296aefecfd97eaee167 rdf:first sg:person.01156316206.12
132 rdf:rest N7f7d6436ebe54f3aa16fca7ea8e2a0d5
133 N2ee09fa9861542c983afd272a54d2acb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Retrospective Studies
135 rdf:type schema:DefinedTerm
136 N40b1ce84b2614b2f8532cb7ac1f39757 rdf:first sg:person.0646250511.41
137 rdf:rest Nc532d88c943d44a3a74f87b81768e42c
138 N46ea74aac718450c868b720d2ebdc348 schema:volumeNumber 15
139 rdf:type schema:PublicationVolume
140 N709ca0d209fc4a8aa05ad88e4f531afa schema:name doi
141 schema:value 10.1186/s12879-015-1056-z
142 rdf:type schema:PropertyValue
143 N72da36d0abe14c9996dcfb6a4a49e212 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Adult
145 rdf:type schema:DefinedTerm
146 N7358815b225242318cf02b2ed3ea3e9d rdf:first sg:person.01113146525.26
147 rdf:rest N40b1ce84b2614b2f8532cb7ac1f39757
148 N7492a2428bc741dc800b9f112290f36c rdf:first sg:person.0671725063.90
149 rdf:rest Nbde6f3eb06094511bda1a49bda5ab162
150 N77ba97d6c6f14bc4a17d46a01e641a33 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Child, Preschool
152 rdf:type schema:DefinedTerm
153 N7c049842c4d24b84866115a7e7c87d2f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Male
155 rdf:type schema:DefinedTerm
156 N7f7d6436ebe54f3aa16fca7ea8e2a0d5 rdf:first sg:person.01024137402.24
157 rdf:rest N9a475b302fe343aaaa4229636760dd73
158 N87ffb83435fa4fbfb3da6ee7cdea6a5c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Influenza, Human
160 rdf:type schema:DefinedTerm
161 N8d8847989df14d088af3c094988dd454 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name France
163 rdf:type schema:DefinedTerm
164 N92a8508978d84ab3b0f12524413f899b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Female
166 rdf:type schema:DefinedTerm
167 N9a475b302fe343aaaa4229636760dd73 rdf:first N9a0237a04a344a2db8a5a37695f16af9
168 rdf:rest rdf:nil
169 Na3c6b5a2ac6f4b05b71313bdc9d9aa75 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Influenza A virus
171 rdf:type schema:DefinedTerm
172 Naa90b98be5ec49c3a2ae9fcc2b5ce17a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
173 schema:name Incidence
174 rdf:type schema:DefinedTerm
175 Nab35f489c6054baa8d8f16582dad4c81 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Humans
177 rdf:type schema:DefinedTerm
178 Nb9f1bcff632f42a491f67df14623fabb schema:name pubmed_id
179 schema:value 26289794
180 rdf:type schema:PropertyValue
181 Nbde6f3eb06094511bda1a49bda5ab162 rdf:first sg:person.01161605365.07
182 rdf:rest Nd7f311cbad1843cfad6689e69f872904
183 Nc283594b2b18476ba3276ed8301bb9b6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
184 schema:name Influenza B virus
185 rdf:type schema:DefinedTerm
186 Nc532d88c943d44a3a74f87b81768e42c rdf:first sg:person.01222375227.08
187 rdf:rest Nf1c2bd04d2b6488ca5813f01e69fba19
188 Ncd247e33d5bb4de795e3768ec9b1b169 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
189 schema:name Seasons
190 rdf:type schema:DefinedTerm
191 Nd7f311cbad1843cfad6689e69f872904 rdf:first sg:person.0767266102.28
192 rdf:rest N7358815b225242318cf02b2ed3ea3e9d
193 Ne420e7b21d3f4d7fb0f5211f519185e0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
194 schema:name Population Surveillance
195 rdf:type schema:DefinedTerm
196 Ne59b560c9cd54b29b4a70f2b7ce3b113 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
197 schema:name Vaccination
198 rdf:type schema:DefinedTerm
199 Ne5b4fee38e124fbb88bee61358ccd89c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
200 schema:name Influenza A Virus, H1N1 Subtype
201 rdf:type schema:DefinedTerm
202 Ne8820e2905864be0b717868da14c040a schema:name Springer Nature - SN SciGraph project
203 rdf:type schema:Organization
204 Nefb725e26ec24aff86fa9b68066c661e schema:name dimensions_id
205 schema:value pub.1011990707
206 rdf:type schema:PropertyValue
207 Nf1c2bd04d2b6488ca5813f01e69fba19 rdf:first sg:person.01037352365.98
208 rdf:rest N20eadfc69b654296aefecfd97eaee167
209 Nf5cec969a2a84527b186399212b95a0b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
210 schema:name Influenza A Virus, H3N2 Subtype
211 rdf:type schema:DefinedTerm
212 Nf7745e171e054c5493221d1146e3a706 schema:issueNumber 1
213 rdf:type schema:PublicationIssue
214 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
215 schema:name Medical and Health Sciences
216 rdf:type schema:DefinedTerm
217 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
218 schema:name Public Health and Health Services
219 rdf:type schema:DefinedTerm
220 sg:journal.1024946 schema:issn 1471-2334
221 schema:name BMC Infectious Diseases
222 schema:publisher Springer Nature
223 rdf:type schema:Periodical
224 sg:person.01024137402.24 schema:affiliation grid-institutes:None
225 schema:familyName Cohen
226 schema:givenName Jean Marie
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024137402.24
228 rdf:type schema:Person
229 sg:person.01037352365.98 schema:affiliation grid-institutes:grid.25697.3f
230 schema:familyName Lina
231 schema:givenName Bruno
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01037352365.98
233 rdf:type schema:Person
234 sg:person.01113146525.26 schema:affiliation grid-institutes:None
235 schema:familyName Bensoussan
236 schema:givenName Jean-Louis
237 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113146525.26
238 rdf:type schema:Person
239 sg:person.01156316206.12 schema:affiliation grid-institutes:grid.508487.6
240 schema:familyName Van der Werf
241 schema:givenName Sylvie
242 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156316206.12
243 rdf:type schema:Person
244 sg:person.01161605365.07 schema:affiliation grid-institutes:None
245 schema:familyName Caini
246 schema:givenName Saverio
247 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01161605365.07
248 rdf:type schema:Person
249 sg:person.01222375227.08 schema:affiliation grid-institutes:None
250 schema:familyName Bui
251 schema:givenName Tan Tai
252 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222375227.08
253 rdf:type schema:Person
254 sg:person.0646250511.41 schema:affiliation grid-institutes:grid.412220.7
255 schema:familyName Stoll-Keller
256 schema:givenName Françoise
257 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0646250511.41
258 rdf:type schema:Person
259 sg:person.0671725063.90 schema:affiliation grid-institutes:None
260 schema:familyName Mosnier
261 schema:givenName Anne
262 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0671725063.90
263 rdf:type schema:Person
264 sg:person.0767266102.28 schema:affiliation grid-institutes:None
265 schema:familyName Daviaud
266 schema:givenName Isabelle
267 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767266102.28
268 rdf:type schema:Person
269 sg:pub.10.1007/bf00144828 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011327533
270 https://doi.org/10.1007/bf00144828
271 rdf:type schema:CreativeWork
272 sg:pub.10.1186/1471-2458-14-56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029511781
273 https://doi.org/10.1186/1471-2458-14-56
274 rdf:type schema:CreativeWork
275 sg:pub.10.2165/11641110-000000000-00000 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045978407
276 https://doi.org/10.2165/11641110-000000000-00000
277 rdf:type schema:CreativeWork
278 grid-institutes:None schema:alternateName Open Rome (Organize and Promote Epidemiological Network), 67 rue du Poteau, 75018 Paris, France
279 Réseau des GROG, 67 rue du Poteau, 75018 Paris, France
280 schema:name Open Rome (Organize and Promote Epidemiological Network), 67 rue du Poteau, 75018 Paris, France
281 Réseau des GROG, 67 rue du Poteau, 75018 Paris, France
282 rdf:type schema:Organization
283 grid-institutes:grid.25697.3f schema:alternateName CNR des virus influenzae, CBPE, HCL & Virpath, UCBL, Université de Lyon, Lyon, France
284 schema:name CNR des virus influenzae, CBPE, HCL & Virpath, UCBL, Université de Lyon, Lyon, France
285 rdf:type schema:Organization
286 grid-institutes:grid.412220.7 schema:alternateName Laboratoire de Virologie, CHU de Strasbourg, Strasbourg, France
287 schema:name Laboratoire de Virologie, CHU de Strasbourg, Strasbourg, France
288 rdf:type schema:Organization
289 grid-institutes:grid.508487.6 schema:alternateName CNR des virus influenzae, GMVR Institut Pasteur, CNRS UMR3569, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
290 schema:name CNR des virus influenzae, GMVR Institut Pasteur, CNRS UMR3569, Université Paris Diderot, Sorbonne Paris Cité, Paris, France
291 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...