Strain-specific estimation of epidemic success provides insights into the transmission dynamics of tuberculosis View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2017-03-28

AUTHORS

Jean-Philippe Rasigade, Maxime Barbier, Oana Dumitrescu, Catherine Pichat, Gérard Carret, Anne-Sophie Ronnaux-Baron, Ghislaine Blasquez, Christine Godin-Benhaim, Sandrine Boisset, Anne Carricajo, Véronique Jacomo, Isabelle Fredenucci, Michèle Pérouse de Montclos, Jean-Pierre Flandrois, Florence Ader, Philip Supply, Gérard Lina, Thierry Wirth

ABSTRACT

The transmission dynamics of tuberculosis involves complex interactions of socio-economic and, possibly, microbiological factors. We describe an analytical framework to infer factors of epidemic success based on the joint analysis of epidemiological, clinical and pathogen genetic data. We derive isolate-specific, genetic distance-based estimates of epidemic success, and we represent success-related time-dependent concepts, namely epidemicity and endemicity, by restricting analysis to specific time scales. The method is applied to analyze a surveillance-based cohort of 1,641 tuberculosis patients with minisatellite-based isolate genotypes. Known predictors of isolate endemicity (older age, native status) and epidemicity (younger age, sputum smear positivity) were identified with high confidence (P < 0.001). Long-term epidemic success also correlated with the ability of Euro-American and Beijing MTBC lineages to cause active pulmonary infection, independent of patient age and country of origin. Our results demonstrate how important insights into the transmission dynamics of tuberculosis can be gained from active surveillance data. More... »

PAGES

45326

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep45326

DOI

http://dx.doi.org/10.1038/srep45326

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1084133157

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28349973


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": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genetic Variation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Genotype", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Haplotypes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Minisatellite Repeats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mycobacterium tuberculosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sputum", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tuberculosis", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Institut de Syst\u00e9matique, Evolution, Biodiversit\u00e9, UMR-CNRS 7205, Mus\u00e9um National d\u2019Histoire Naturelle, Universit\u00e9 Pierre et Marie Curie, Ecole Pratique des Hautes Etudes, Sorbonne Universit\u00e9s, Paris, France", 
            "Laboratoire Biologie Int\u00e9grative des Populations, Ecole Pratique des Hautes Etudes, PSL Research University, Paris, France", 
            "Centre International de Recherche en Infectiologie, CIRI, University of Lyon, France", 
            "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rasigade", 
        "givenName": "Jean-Philippe", 
        "id": "sg:person.01226143321.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226143321.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire Biologie Int\u00e9grative des Populations, Ecole Pratique des Hautes Etudes, PSL Research University, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.424469.9", 
          "name": [
            "Institut de Syst\u00e9matique, Evolution, Biodiversit\u00e9, UMR-CNRS 7205, Mus\u00e9um National d\u2019Histoire Naturelle, Universit\u00e9 Pierre et Marie Curie, Ecole Pratique des Hautes Etudes, Sorbonne Universit\u00e9s, Paris, France", 
            "Laboratoire Biologie Int\u00e9grative des Populations, Ecole Pratique des Hautes Etudes, PSL Research University, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Barbier", 
        "givenName": "Maxime", 
        "id": "sg:person.0622162173.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622162173.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Centre International de Recherche en Infectiologie, CIRI, University of Lyon, France", 
            "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dumitrescu", 
        "givenName": "Oana", 
        "id": "sg:person.01203524444.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203524444.51"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pichat", 
        "givenName": "Catherine", 
        "id": "sg:person.0775336700.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775336700.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carret", 
        "givenName": "G\u00e9rard", 
        "id": "sg:person.01105774657.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105774657.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Comit\u00e9 D\u00e9partemental d\u2019Hygi\u00e8ne Sociale, CLAT69, Lyon, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Comit\u00e9 D\u00e9partemental d\u2019Hygi\u00e8ne Sociale, CLAT69, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ronnaux-Baron", 
        "givenName": "Anne-Sophie", 
        "id": "sg:person.0652761063.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652761063.63"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Comit\u00e9 D\u00e9partemental d\u2019Hygi\u00e8ne Sociale, CLAT69, Lyon, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Comit\u00e9 D\u00e9partemental d\u2019Hygi\u00e8ne Sociale, CLAT69, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Blasquez", 
        "givenName": "Ghislaine", 
        "id": "sg:person.013132362523.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013132362523.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Agence R\u00e9gionale de Sant\u00e9 Rh\u00f4ne-Alpes, Lyon, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Agence R\u00e9gionale de Sant\u00e9 Rh\u00f4ne-Alpes, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Godin-Benhaim", 
        "givenName": "Christine", 
        "id": "sg:person.014373415410.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014373415410.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire TIMC-IMAG, UMR 5525 CNRS-UJF, UFR de M\u00e9decine, Universit\u00e9 Grenoble Alpes, Grenoble, France", 
          "id": "http://www.grid.ac/institutes/grid.450307.5", 
          "name": [
            "Laboratoire de Bact\u00e9riologie, Institut de Biologie et de Pathologie, CHU de Grenoble, Grenoble, France", 
            "Laboratoire TIMC-IMAG, UMR 5525 CNRS-UJF, UFR de M\u00e9decine, Universit\u00e9 Grenoble Alpes, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Boisset", 
        "givenName": "Sandrine", 
        "id": "sg:person.01074116263.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074116263.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire des Agents Infectieux et d\u2019Hygi\u00e8ne, CHU de Saint-Etienne, Saint-Etienne, France", 
          "id": "http://www.grid.ac/institutes/grid.412954.f", 
          "name": [
            "Laboratoire des Agents Infectieux et d\u2019Hygi\u00e8ne, CHU de Saint-Etienne, Saint-Etienne, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Carricajo", 
        "givenName": "Anne", 
        "id": "sg:person.0763173455.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763173455.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire Biomnis, Lyon, France", 
          "id": "http://www.grid.ac/institutes/None", 
          "name": [
            "Laboratoire Biomnis, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jacomo", 
        "givenName": "V\u00e9ronique", 
        "id": "sg:person.01206176231.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206176231.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fredenucci", 
        "givenName": "Isabelle", 
        "id": "sg:person.012113614214.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012113614214.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "P\u00e9rouse de Montclos", 
        "givenName": "Mich\u00e8le", 
        "id": "sg:person.010212573723.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010212573723.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire de Biom\u00e9trie et Biologie Evolutive, UMR CNRS 5558, University of Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.462854.9", 
          "name": [
            "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France", 
            "Laboratoire de Biom\u00e9trie et Biologie Evolutive, UMR CNRS 5558, University of Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Flandrois", 
        "givenName": "Jean-Pierre", 
        "id": "sg:person.0746243633.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746243633.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Service des Maladies Infectieuses et Tropicales, H\u00f4pital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.413306.3", 
          "name": [
            "Centre International de Recherche en Infectiologie, CIRI, University of Lyon, France", 
            "Service des Maladies Infectieuses et Tropicales, H\u00f4pital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ader", 
        "givenName": "Florence", 
        "id": "sg:person.01054316012.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054316012.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM U1019, CNRS-UMR 8204, Center for Infection and Immunity of Lille, Institut Pasteur de Lille, Universit\u00e9 de Lille, Lille, France", 
          "id": "http://www.grid.ac/institutes/grid.463727.3", 
          "name": [
            "INSERM U1019, CNRS-UMR 8204, Center for Infection and Immunity of Lille, Institut Pasteur de Lille, Universit\u00e9 de Lille, Lille, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Supply", 
        "givenName": "Philip", 
        "id": "sg:person.0771012421.20", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771012421.20"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France", 
          "id": "http://www.grid.ac/institutes/grid.413852.9", 
          "name": [
            "Centre International de Recherche en Infectiologie, CIRI, University of Lyon, France", 
            "Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lina", 
        "givenName": "G\u00e9rard", 
        "id": "sg:person.01177061631.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177061631.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Laboratoire Biologie Int\u00e9grative des Populations, Ecole Pratique des Hautes Etudes, PSL Research University, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.424469.9", 
          "name": [
            "Institut de Syst\u00e9matique, Evolution, Biodiversit\u00e9, UMR-CNRS 7205, Mus\u00e9um National d\u2019Histoire Naturelle, Universit\u00e9 Pierre et Marie Curie, Ecole Pratique des Hautes Etudes, Sorbonne Universit\u00e9s, Paris, France", 
            "Laboratoire Biologie Int\u00e9grative des Populations, Ecole Pratique des Hautes Etudes, PSL Research University, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wirth", 
        "givenName": "Thierry", 
        "id": "sg:person.0670605774.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670605774.69"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/ng.3704", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012540401", 
          "https://doi.org/10.1038/ng.3704"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.3195", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045241239", 
          "https://doi.org/10.1038/ng.3195"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2180-6-23", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013028388", 
          "https://doi.org/10.1186/1471-2180-6-23"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng.2744", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016429632", 
          "https://doi.org/10.1038/ng.2744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2164-14-145", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047220193", 
          "https://doi.org/10.1186/1471-2164-14-145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrmicro3536", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1000169186", 
          "https://doi.org/10.1038/nrmicro3536"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2017-03-28", 
    "datePublishedReg": "2017-03-28", 
    "description": "The transmission dynamics of tuberculosis involves complex interactions of socio-economic and, possibly, microbiological factors. We describe an analytical framework to infer factors of epidemic success based on the joint analysis of epidemiological, clinical and pathogen genetic data. We derive isolate-specific, genetic distance-based estimates of epidemic success, and we represent success-related time-dependent concepts, namely epidemicity and endemicity, by restricting analysis to specific time scales. The method is applied to analyze a surveillance-based cohort of 1,641 tuberculosis patients with minisatellite-based isolate genotypes. Known predictors of isolate endemicity (older age, native status) and epidemicity (younger age, sputum smear positivity) were identified with high confidence (P\u2009<\u20090.001). Long-term epidemic success also correlated with the ability of Euro-American and Beijing MTBC lineages to cause active pulmonary infection, independent of patient age and country of origin. Our results demonstrate how important insights into the transmission dynamics of tuberculosis can be gained from active surveillance data.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/srep45326", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "keywords": [
      "epidemic success", 
      "transmission dynamics", 
      "active pulmonary infection", 
      "active surveillance data", 
      "tuberculosis patients", 
      "pulmonary infection", 
      "patient age", 
      "surveillance data", 
      "tuberculosis", 
      "MTBC lineages", 
      "pathogen genetic data", 
      "microbiological factors", 
      "epidemicity", 
      "isolate genotypes", 
      "endemicity", 
      "patients", 
      "cohort", 
      "infection", 
      "age", 
      "factors", 
      "predictors", 
      "complex interactions", 
      "country of origin", 
      "genotypes", 
      "success", 
      "data", 
      "important insights", 
      "analysis", 
      "genetic data", 
      "Euro-Americans", 
      "ability", 
      "high confidence", 
      "lineages", 
      "insights", 
      "confidence", 
      "countries", 
      "scale", 
      "origin", 
      "results", 
      "joint analysis", 
      "method", 
      "estimates", 
      "interaction", 
      "minisatellites", 
      "concept", 
      "time-dependent concepts", 
      "dynamics", 
      "estimation", 
      "specific time scales", 
      "framework", 
      "analytical framework", 
      "time scales"
    ], 
    "name": "Strain-specific estimation of epidemic success provides insights into the transmission dynamics of tuberculosis", 
    "pagination": "45326", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1084133157"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep45326"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "28349973"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep45326", 
      "https://app.dimensions.ai/details/publication/pub.1084133157"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-09-02T16:02", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220902/entities/gbq_results/article/article_757.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/srep45326"
  }
]
 

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.10.1038/srep45326'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/srep45326'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep45326'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep45326'


 

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

343 TRIPLES      21 PREDICATES      97 URIs      83 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep45326 schema:about N080a12a0a3ce4029baddc6d5dafd5c03
2 N1cdb5f37064344b0b0314b1ba4aae87f
3 N1e78ddb59fd24d0480e964e90aa4ae51
4 N38dab61846eb44388958c6f5025b2bd8
5 N5e8aaa29ffc34daaa834aa2e8e9ba8c8
6 N6f34cb9fea794c2a983d166a6f34e81a
7 N7a90b99c972a4b8f99374423d621a0f3
8 N85a9a7211dc545358eae7bfe6ccb82f6
9 Na48b2a19d850471e8e05c53d97507928
10 Nbc1d050d4e0744588fee6e2bcd1384b7
11 Nd1c0bfd748a94fe396dc3566149d6755
12 Ndc2a42a0ef11419d9f997bb022bb084d
13 Nde4bd58a07bc4cec9d2516a0c0356c3d
14 Nf936ac5b9df74465bdd5b2e4133faee6
15 anzsrc-for:11
16 anzsrc-for:1117
17 schema:author Nb2f8abfed45e4d1690e8239b6e608cc9
18 schema:citation sg:pub.10.1038/ng.2744
19 sg:pub.10.1038/ng.3195
20 sg:pub.10.1038/ng.3704
21 sg:pub.10.1038/nrmicro3536
22 sg:pub.10.1186/1471-2164-14-145
23 sg:pub.10.1186/1471-2180-6-23
24 schema:datePublished 2017-03-28
25 schema:datePublishedReg 2017-03-28
26 schema:description The transmission dynamics of tuberculosis involves complex interactions of socio-economic and, possibly, microbiological factors. We describe an analytical framework to infer factors of epidemic success based on the joint analysis of epidemiological, clinical and pathogen genetic data. We derive isolate-specific, genetic distance-based estimates of epidemic success, and we represent success-related time-dependent concepts, namely epidemicity and endemicity, by restricting analysis to specific time scales. The method is applied to analyze a surveillance-based cohort of 1,641 tuberculosis patients with minisatellite-based isolate genotypes. Known predictors of isolate endemicity (older age, native status) and epidemicity (younger age, sputum smear positivity) were identified with high confidence (P < 0.001). Long-term epidemic success also correlated with the ability of Euro-American and Beijing MTBC lineages to cause active pulmonary infection, independent of patient age and country of origin. Our results demonstrate how important insights into the transmission dynamics of tuberculosis can be gained from active surveillance data.
27 schema:genre article
28 schema:isAccessibleForFree true
29 schema:isPartOf N05568a184c4b4413b3ebb672bc68a652
30 N2d406638febd458a9898f5d741fe33b3
31 sg:journal.1045337
32 schema:keywords Euro-Americans
33 MTBC lineages
34 ability
35 active pulmonary infection
36 active surveillance data
37 age
38 analysis
39 analytical framework
40 cohort
41 complex interactions
42 concept
43 confidence
44 countries
45 country of origin
46 data
47 dynamics
48 endemicity
49 epidemic success
50 epidemicity
51 estimates
52 estimation
53 factors
54 framework
55 genetic data
56 genotypes
57 high confidence
58 important insights
59 infection
60 insights
61 interaction
62 isolate genotypes
63 joint analysis
64 lineages
65 method
66 microbiological factors
67 minisatellites
68 origin
69 pathogen genetic data
70 patient age
71 patients
72 predictors
73 pulmonary infection
74 results
75 scale
76 specific time scales
77 success
78 surveillance data
79 time scales
80 time-dependent concepts
81 transmission dynamics
82 tuberculosis
83 tuberculosis patients
84 schema:name Strain-specific estimation of epidemic success provides insights into the transmission dynamics of tuberculosis
85 schema:pagination 45326
86 schema:productId N481b3bbed69b4cbeb7ab897c2ac49717
87 Nef7a108164a5477c9b2e1a945d0c8485
88 Nf0e966195c0d4cd09474cc12ddf4a557
89 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084133157
90 https://doi.org/10.1038/srep45326
91 schema:sdDatePublished 2022-09-02T16:02
92 schema:sdLicense https://scigraph.springernature.com/explorer/license/
93 schema:sdPublisher Na052914bfd3c4f279b4b6661e2d7e7be
94 schema:url https://doi.org/10.1038/srep45326
95 sgo:license sg:explorer/license/
96 sgo:sdDataset articles
97 rdf:type schema:ScholarlyArticle
98 N0201258356d846cc8e2daa02ac07c8af rdf:first sg:person.01074116263.56
99 rdf:rest Nfab488e700474235b36708c5cc4ca83b
100 N05568a184c4b4413b3ebb672bc68a652 schema:volumeNumber 7
101 rdf:type schema:PublicationVolume
102 N080a12a0a3ce4029baddc6d5dafd5c03 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Mycobacterium tuberculosis
104 rdf:type schema:DefinedTerm
105 N1676981700634706b1de0fe3a0de29fa rdf:first sg:person.010212573723.10
106 rdf:rest N1d1d537ef6a44323ab2749fd0317e47b
107 N1cdb5f37064344b0b0314b1ba4aae87f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
108 schema:name Aged
109 rdf:type schema:DefinedTerm
110 N1d1d537ef6a44323ab2749fd0317e47b rdf:first sg:person.0746243633.02
111 rdf:rest Nf4ca5084d7704f6abb276f9e2a28915b
112 N1e78ddb59fd24d0480e964e90aa4ae51 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Genetic Variation
114 rdf:type schema:DefinedTerm
115 N28a97ed2bdf54c0da7964e82376304e8 rdf:first sg:person.01203524444.51
116 rdf:rest Nce0441f490444346a0afff89f6914d8c
117 N2d406638febd458a9898f5d741fe33b3 schema:issueNumber 1
118 rdf:type schema:PublicationIssue
119 N38dab61846eb44388958c6f5025b2bd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
120 schema:name Haplotypes
121 rdf:type schema:DefinedTerm
122 N43bbcb58fb7c48a190262641ddadbf78 rdf:first sg:person.0670605774.69
123 rdf:rest rdf:nil
124 N481b3bbed69b4cbeb7ab897c2ac49717 schema:name doi
125 schema:value 10.1038/srep45326
126 rdf:type schema:PropertyValue
127 N48546e3e234f4e239f6abaf6332ab46e rdf:first sg:person.0771012421.20
128 rdf:rest Ne15b3f339f864b3dbe5f1ac838073194
129 N4b35e442a96f4e51b6a7655d7108df40 rdf:first sg:person.01105774657.78
130 rdf:rest Nec9ea4d69f2f4c17b83016bce111bfd5
131 N5e8aaa29ffc34daaa834aa2e8e9ba8c8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
132 schema:name Middle Aged
133 rdf:type schema:DefinedTerm
134 N6f34cb9fea794c2a983d166a6f34e81a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
135 schema:name Minisatellite Repeats
136 rdf:type schema:DefinedTerm
137 N7a90b99c972a4b8f99374423d621a0f3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Genotype
139 rdf:type schema:DefinedTerm
140 N84976dc010874effa8f1138cd9694912 rdf:first sg:person.014373415410.97
141 rdf:rest N0201258356d846cc8e2daa02ac07c8af
142 N85a9a7211dc545358eae7bfe6ccb82f6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
143 schema:name Female
144 rdf:type schema:DefinedTerm
145 Na052914bfd3c4f279b4b6661e2d7e7be schema:name Springer Nature - SN SciGraph project
146 rdf:type schema:Organization
147 Na48b2a19d850471e8e05c53d97507928 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Humans
149 rdf:type schema:DefinedTerm
150 Na5b5bafdd8144f2ca36cb060cecd136b rdf:first sg:person.013132362523.07
151 rdf:rest N84976dc010874effa8f1138cd9694912
152 Nac49a1b925c543509763d955c4e9868c rdf:first sg:person.012113614214.35
153 rdf:rest N1676981700634706b1de0fe3a0de29fa
154 Nb2f8abfed45e4d1690e8239b6e608cc9 rdf:first sg:person.01226143321.15
155 rdf:rest Nc0803317c6e0474cafa0cdb224eb7bde
156 Nbc1d050d4e0744588fee6e2bcd1384b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Risk Factors
158 rdf:type schema:DefinedTerm
159 Nc0803317c6e0474cafa0cdb224eb7bde rdf:first sg:person.0622162173.28
160 rdf:rest N28a97ed2bdf54c0da7964e82376304e8
161 Nce0441f490444346a0afff89f6914d8c rdf:first sg:person.0775336700.86
162 rdf:rest N4b35e442a96f4e51b6a7655d7108df40
163 Nd1c0bfd748a94fe396dc3566149d6755 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
164 schema:name Adult
165 rdf:type schema:DefinedTerm
166 Ndc2a42a0ef11419d9f997bb022bb084d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
167 schema:name Sputum
168 rdf:type schema:DefinedTerm
169 Nde4bd58a07bc4cec9d2516a0c0356c3d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
170 schema:name Male
171 rdf:type schema:DefinedTerm
172 Ne15b3f339f864b3dbe5f1ac838073194 rdf:first sg:person.01177061631.15
173 rdf:rest N43bbcb58fb7c48a190262641ddadbf78
174 Nec9ea4d69f2f4c17b83016bce111bfd5 rdf:first sg:person.0652761063.63
175 rdf:rest Na5b5bafdd8144f2ca36cb060cecd136b
176 Nef7a108164a5477c9b2e1a945d0c8485 schema:name pubmed_id
177 schema:value 28349973
178 rdf:type schema:PropertyValue
179 Nef7f84fa787445c58c60cebd28a4219b rdf:first sg:person.01206176231.14
180 rdf:rest Nac49a1b925c543509763d955c4e9868c
181 Nf0e966195c0d4cd09474cc12ddf4a557 schema:name dimensions_id
182 schema:value pub.1084133157
183 rdf:type schema:PropertyValue
184 Nf4ca5084d7704f6abb276f9e2a28915b rdf:first sg:person.01054316012.48
185 rdf:rest N48546e3e234f4e239f6abaf6332ab46e
186 Nf936ac5b9df74465bdd5b2e4133faee6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
187 schema:name Tuberculosis
188 rdf:type schema:DefinedTerm
189 Nfab488e700474235b36708c5cc4ca83b rdf:first sg:person.0763173455.82
190 rdf:rest Nef7f84fa787445c58c60cebd28a4219b
191 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
192 schema:name Medical and Health Sciences
193 rdf:type schema:DefinedTerm
194 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
195 schema:name Public Health and Health Services
196 rdf:type schema:DefinedTerm
197 sg:journal.1045337 schema:issn 2045-2322
198 schema:name Scientific Reports
199 schema:publisher Springer Nature
200 rdf:type schema:Periodical
201 sg:person.010212573723.10 schema:affiliation grid-institutes:grid.413852.9
202 schema:familyName Pérouse de Montclos
203 schema:givenName Michèle
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010212573723.10
205 rdf:type schema:Person
206 sg:person.01054316012.48 schema:affiliation grid-institutes:grid.413306.3
207 schema:familyName Ader
208 schema:givenName Florence
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054316012.48
210 rdf:type schema:Person
211 sg:person.01074116263.56 schema:affiliation grid-institutes:grid.450307.5
212 schema:familyName Boisset
213 schema:givenName Sandrine
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01074116263.56
215 rdf:type schema:Person
216 sg:person.01105774657.78 schema:affiliation grid-institutes:grid.413852.9
217 schema:familyName Carret
218 schema:givenName Gérard
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105774657.78
220 rdf:type schema:Person
221 sg:person.01177061631.15 schema:affiliation grid-institutes:grid.413852.9
222 schema:familyName Lina
223 schema:givenName Gérard
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01177061631.15
225 rdf:type schema:Person
226 sg:person.01203524444.51 schema:affiliation grid-institutes:grid.413852.9
227 schema:familyName Dumitrescu
228 schema:givenName Oana
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203524444.51
230 rdf:type schema:Person
231 sg:person.01206176231.14 schema:affiliation grid-institutes:None
232 schema:familyName Jacomo
233 schema:givenName Véronique
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01206176231.14
235 rdf:type schema:Person
236 sg:person.012113614214.35 schema:affiliation grid-institutes:grid.413852.9
237 schema:familyName Fredenucci
238 schema:givenName Isabelle
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012113614214.35
240 rdf:type schema:Person
241 sg:person.01226143321.15 schema:affiliation grid-institutes:grid.413852.9
242 schema:familyName Rasigade
243 schema:givenName Jean-Philippe
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01226143321.15
245 rdf:type schema:Person
246 sg:person.013132362523.07 schema:affiliation grid-institutes:None
247 schema:familyName Blasquez
248 schema:givenName Ghislaine
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013132362523.07
250 rdf:type schema:Person
251 sg:person.014373415410.97 schema:affiliation grid-institutes:None
252 schema:familyName Godin-Benhaim
253 schema:givenName Christine
254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014373415410.97
255 rdf:type schema:Person
256 sg:person.0622162173.28 schema:affiliation grid-institutes:grid.424469.9
257 schema:familyName Barbier
258 schema:givenName Maxime
259 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622162173.28
260 rdf:type schema:Person
261 sg:person.0652761063.63 schema:affiliation grid-institutes:None
262 schema:familyName Ronnaux-Baron
263 schema:givenName Anne-Sophie
264 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0652761063.63
265 rdf:type schema:Person
266 sg:person.0670605774.69 schema:affiliation grid-institutes:grid.424469.9
267 schema:familyName Wirth
268 schema:givenName Thierry
269 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0670605774.69
270 rdf:type schema:Person
271 sg:person.0746243633.02 schema:affiliation grid-institutes:grid.462854.9
272 schema:familyName Flandrois
273 schema:givenName Jean-Pierre
274 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0746243633.02
275 rdf:type schema:Person
276 sg:person.0763173455.82 schema:affiliation grid-institutes:grid.412954.f
277 schema:familyName Carricajo
278 schema:givenName Anne
279 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0763173455.82
280 rdf:type schema:Person
281 sg:person.0771012421.20 schema:affiliation grid-institutes:grid.463727.3
282 schema:familyName Supply
283 schema:givenName Philip
284 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0771012421.20
285 rdf:type schema:Person
286 sg:person.0775336700.86 schema:affiliation grid-institutes:grid.413852.9
287 schema:familyName Pichat
288 schema:givenName Catherine
289 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0775336700.86
290 rdf:type schema:Person
291 sg:pub.10.1038/ng.2744 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016429632
292 https://doi.org/10.1038/ng.2744
293 rdf:type schema:CreativeWork
294 sg:pub.10.1038/ng.3195 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045241239
295 https://doi.org/10.1038/ng.3195
296 rdf:type schema:CreativeWork
297 sg:pub.10.1038/ng.3704 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012540401
298 https://doi.org/10.1038/ng.3704
299 rdf:type schema:CreativeWork
300 sg:pub.10.1038/nrmicro3536 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000169186
301 https://doi.org/10.1038/nrmicro3536
302 rdf:type schema:CreativeWork
303 sg:pub.10.1186/1471-2164-14-145 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047220193
304 https://doi.org/10.1186/1471-2164-14-145
305 rdf:type schema:CreativeWork
306 sg:pub.10.1186/1471-2180-6-23 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013028388
307 https://doi.org/10.1186/1471-2180-6-23
308 rdf:type schema:CreativeWork
309 grid-institutes:None schema:alternateName Agence Régionale de Santé Rhône-Alpes, Lyon, France
310 Comité Départemental d’Hygiène Sociale, CLAT69, Lyon, France
311 Laboratoire Biomnis, Lyon, France
312 schema:name Agence Régionale de Santé Rhône-Alpes, Lyon, France
313 Comité Départemental d’Hygiène Sociale, CLAT69, Lyon, France
314 Laboratoire Biomnis, Lyon, France
315 rdf:type schema:Organization
316 grid-institutes:grid.412954.f schema:alternateName Laboratoire des Agents Infectieux et d’Hygiène, CHU de Saint-Etienne, Saint-Etienne, France
317 schema:name Laboratoire des Agents Infectieux et d’Hygiène, CHU de Saint-Etienne, Saint-Etienne, France
318 rdf:type schema:Organization
319 grid-institutes:grid.413306.3 schema:alternateName Service des Maladies Infectieuses et Tropicales, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
320 schema:name Centre International de Recherche en Infectiologie, CIRI, University of Lyon, France
321 Service des Maladies Infectieuses et Tropicales, Hôpital de la Croix-Rousse, Hospices Civils de Lyon, Lyon, France
322 rdf:type schema:Organization
323 grid-institutes:grid.413852.9 schema:alternateName Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France
324 schema:name Centre International de Recherche en Infectiologie, CIRI, University of Lyon, France
325 Institut de Systématique, Evolution, Biodiversité, UMR-CNRS 7205, Muséum National d’Histoire Naturelle, Université Pierre et Marie Curie, Ecole Pratique des Hautes Etudes, Sorbonne Universités, Paris, France
326 Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France
327 Laboratoire Biologie Intégrative des Populations, Ecole Pratique des Hautes Etudes, PSL Research University, Paris, France
328 rdf:type schema:Organization
329 grid-institutes:grid.424469.9 schema:alternateName Laboratoire Biologie Intégrative des Populations, Ecole Pratique des Hautes Etudes, PSL Research University, Paris, France
330 schema:name Institut de Systématique, Evolution, Biodiversité, UMR-CNRS 7205, Muséum National d’Histoire Naturelle, Université Pierre et Marie Curie, Ecole Pratique des Hautes Etudes, Sorbonne Universités, Paris, France
331 Laboratoire Biologie Intégrative des Populations, Ecole Pratique des Hautes Etudes, PSL Research University, Paris, France
332 rdf:type schema:Organization
333 grid-institutes:grid.450307.5 schema:alternateName Laboratoire TIMC-IMAG, UMR 5525 CNRS-UJF, UFR de Médecine, Université Grenoble Alpes, Grenoble, France
334 schema:name Laboratoire TIMC-IMAG, UMR 5525 CNRS-UJF, UFR de Médecine, Université Grenoble Alpes, Grenoble, France
335 Laboratoire de Bactériologie, Institut de Biologie et de Pathologie, CHU de Grenoble, Grenoble, France
336 rdf:type schema:Organization
337 grid-institutes:grid.462854.9 schema:alternateName Laboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, University of Lyon, France
338 schema:name Institut des Agents Infectieux, Hospices Civils de Lyon, Lyon, France
339 Laboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, University of Lyon, France
340 rdf:type schema:Organization
341 grid-institutes:grid.463727.3 schema:alternateName INSERM U1019, CNRS-UMR 8204, Center for Infection and Immunity of Lille, Institut Pasteur de Lille, Université de Lille, Lille, France
342 schema:name INSERM U1019, CNRS-UMR 8204, Center for Infection and Immunity of Lille, Institut Pasteur de Lille, Université de Lille, Lille, France
343 rdf:type schema:Organization
 




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


...