@prefix dcterms: <http://purl.org/dc/terms/> .
@prefix dcat: <http://www.w3.org/ns/dcat#> .
@prefix foaf: <http://xmlns.com/foaf/0.1/> .
@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
@prefix ldp: <http://www.w3.org/ns/ldp#> .

<http://data.europa.eu/nuts/code/BE> a dcterms:Location .

<http://publications.europa.eu/resource/authority/data-theme/HEAL> a <http://www.w3.org/2004/02/skos/core#Concept>;
  <http://www.w3.org/2004/02/skos/core#prefLabel> "Health"@en .

<http://publications.europa.eu/resource/authority/dataset-type/PERSONAL_DATA> a <http://www.w3.org/2004/02/skos/core#Concept>;
  <http://www.w3.org/2004/02/skos/core#prefLabel> "Personal Data"@en .

<http://publications.europa.eu/resource/authority/language/ENG> a dcterms:LinguisticSystem .

<http://healthdataportal.eu/resource/authority/healthcategories/RPDG> a <http://www.w3.org/2004/02/skos/core#Concept>;
  <http://www.w3.org/2004/02/skos/core#prefLabel> "Pathogen data, impacting on human health"@en .

<http://data.europa.eu/eli/reg/2022/868/oj> a <http://data.europa.eu/eli/ontology#LegalResource> .

<http://publications.europa.eu/resource/authority/access-right/RESTRICTED> a dcterms:RightsStatement .

<http://publications.europa.eu/resource/authority/frequency/WEEKLY> a dcterms:Frequency .

<datasetAdmsIdentifier:1780317258578-1de9f632-0> a <http://www.w3.org/ns/adms#Identifier>;
  <http://www.w3.org/2004/02/skos/core#notation> "http://10.5.8.138:8080/dataset/f303e4e9-4de1-4842-a239-196b46d8c7b6"^^xsd:anyURI .

<datasetAdmsIdentifier:1780317258578-c1a70e2f-1> a <http://www.w3.org/ns/adms#Identifier>;
  <http://www.w3.org/2004/02/skos/core#notation> "https://sciensano.healthdataportal.eu:443/dataset/85d02992-b133-498a-8e41-d4534fe37f9e"^^xsd:anyURI .

<datasetContactPoint:1780317258577-bc04f6da-0> a <http://www.w3.org/2006/vcard/ns#Kind>,
    <http://www.w3.org/2006/vcard/ns#Organization>;
  <http://www.w3.org/2006/vcard/ns#fn> "Milena Callies";
  <http://www.w3.org/2006/vcard/ns#hasEmail> <mailto:hai_surv@sciensano>;
  <http://www.w3.org/2006/vcard/ns#organisationName> "Sciensano";
  <http://www.w3.org/2006/vcard/ns#organisationUnit> "1160 - Healthcare-associated infections and antimicrobial resistance" .

<datasetHasLegalBasis:1780317258577-04b559bb-0> a <https://w3id.org/dpv#LegalBasis>;
  dcterms:source <https://www.sciensano.be/nl/biblio/influenza-illness-including-covid-19-sentinel-surveillance-belgian-nursing-homes-amended-protocol-v2>;
  dcterms:description "We received approval for the ILI in NH study of 2021 by the Ethics Committee of the Vrije Universiteit Brussel (VUB) (reference B.U.N. 143201942153) until 31/12/2022. Approval of the amendment (Version 2) of this study until 2026 was received from the Ethics Committee of the Vrije Universiteit Brussel (VUB) (reference B.U.N. 143201942153) on August 9, 2023."@en .

<datasetProvenance:1780317258576-66a8fd36-0> a dcterms:ProvenanceStatement;
  <http://www.w3.org/2000/01/rdf-schema#label> "For the epidemiological/clinical part, the data for ILI_NH comes from the weekly questionnaire created in LimeSurvey and maintained by Sciensano. For the virological part, the data for ILI_NH comes from samples sent by the nursing homes and analysed by the National Reference Center Influenza. Data on the nursing home resident (anonymised) is obtained through the LimeSurvey questionnaire maintained by Sciensano."@en .

<datasetPurpose:1780317258576-14c2df21-0> a <https://w3id.org/dpv#Purpose>;
  dcterms:description "Primary objectives  To establish a sentinel NH network geographically representative for the Belgian NH population with the aim to monitor ILI (including COVID-19).  To signal and monitor start, duration and intensity of ILI (including COVID-19) waves/appearances among NH residents to optimize and support provided health-care, -planning, -management and -policies.  To monitor locally circulating virus types/subtypes or lineages/sub-lineages and their relationship to global and regional patterns.   Secondary objectives  To monitor other COVID-19 or influenza-related aspects such as vaccine coverage, variant detection, etc., according to needs and wishes"@en .

<https://intranet-fdp.sciensano.be/dataset/73ebbc84-c300-462c-86a8-806b935214ab#admsIdentifier>
  a <http://www.w3.org/ns/adms#Identifier>;
  <http://www.w3.org/2004/02/skos/core#notation> "https://intranet-fdp.sciensano.be/dataset/73ebbc84-c300-462c-86a8-806b935214ab"^^xsd:anyURI .

<https://www.sciensano.be/en/projects/influenza-illness-including-covid-19-sentinel-surveillance-belgian-nursing-homes>
  a foaf:Document .

<https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a> a dcat:Resource,
    dcat:Dataset;
  dcterms:accessRights <http://publications.europa.eu/resource/authority/access-right/RESTRICTED>;
  dcterms:identifier "http://sciensanofdp.darwinproject.be:8080/dataset/8b61fd73-977d-4308-80ef-262c51af00aa"^^xsd:anyURI;
  dcterms:language <http://publications.europa.eu/resource/authority/language/ENG>;
  dcterms:license <http://purl.org/NET/rdflicense/cc-zero1.0>;
  <https://w3id.org/fdp/fdp-o#metadataIdentifier> <https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a#identifier>;
  <https://w3id.org/fdp/fdp-o#metadataIssued> "2026-07-22T23:02:01.070Z"^^xsd:dateTime;
  <https://w3id.org/fdp/fdp-o#metadataModified> "2026-07-22T23:02:34.040Z"^^xsd:dateTime;
  <http://semanticscience.org/resource/SIO_000628> <https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a/metrics/445c0a70d1e214e545b261559e2842f4>,
    <https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a/metrics/5d27e854a9e78eb3f663331cd47cdc13>;
  dcterms:isPartOf <https://public-fdp.sciensano.be/catalog/84539216-5daf-4d76-b112-f8723fe0f8c6>;
  <http://technical.fdp/modified> "2026-07-22T23:01:14.000Z"^^xsd:dateTime;
  <http://technical.fdp/sciensanoTheme> <http://www.wikidata.org/entity/Q5382704>;
  <http://data.europa.eu/r5r/applicableLegislation> <http://data.europa.eu/eli/reg/2022/868/oj>;
  <http://healthdataportal.eu/ns/health#hdab> <hdab:1>;
  <http://healthdataportal.eu/ns/health#healthCategory> <http://healthdataportal.eu/resource/authority/healthcategories/RPDG>;
  dcterms:provenance <datasetProvenance:1780317258576-66a8fd36-0>;
  dcterms:spatial <http://data.europa.eu/nuts/code/BE>;
  dcterms:type <http://publications.europa.eu/resource/authority/dataset-type/PERSONAL_DATA>;
  <http://technical.fdp/sciensanoOrg> "1160";
  <http://www.w3.org/ns/adms#identifier> <datasetAdmsIdentifier:1780317258578-1de9f632-0>,
    <datasetAdmsIdentifier:1780317258578-c1a70e2f-1>, <https://intranet-fdp.sciensano.be/dataset/73ebbc84-c300-462c-86a8-806b935214ab#admsIdentifier>;
  dcat:contactPoint <datasetContactPoint:1780317258577-bc04f6da-0>;
  dcat:keyword "surveillance"@en, "influenza-like illness"@en;
  dcat:landingPage <https://www.sciensano.be/en/projects/influenza-illness-including-covid-19-sentinel-surveillance-belgian-nursing-homes>;
  dcat:theme <http://publications.europa.eu/resource/authority/data-theme/HEAL>;
  <https://w3id.org/dpv#hasLegalBasis> <datasetHasLegalBasis:1780317258577-04b559bb-0>;
  <http://healthdataportal.eu/ns/health#maxTypicalAge> "120"^^xsd:nonNegativeInteger;
  <http://healthdataportal.eu/ns/health#minTypicalAge> "60"^^xsd:nonNegativeInteger;
  <http://healthdataportal.eu/ns/health#numberOfRecords> "4500"^^xsd:nonNegativeInteger;
  <http://healthdataportal.eu/ns/health#populationCoverage> "The population of ILI_NH comprises a representative sample of nursing homes, accounting for about 5% of all NH residents."@en;
  dcterms:accrualPeriodicity <http://publications.europa.eu/resource/authority/frequency/WEEKLY>;
  <https://w3id.org/dpv#hasPurpose> <datasetPurpose:1780317258576-14c2df21-0>;
  dcterms:temporal [ a dcterms:PeriodOfTime;
      dcat:startDate "2022-10-17"^^xsd:date
    ];
  dcterms:alternative "ILI-NH"@en;
  dcat:distribution <https://public-fdp.sciensano.be/distribution/23f16a2c-af67-453c-891a-a6fe4c6ab1b9>;
  <http://healthdataportal.eu/ns/health#numberOfUniqueIndividuals> "7475"^^xsd:nonNegativeInteger;
  <http://www.w3.org/2000/01/rdf-schema#label> "ILI-NH - Influenza-like illness (including COVID-19) sentinel surveillance in Belgian nursing homes";
  foaf:page <https://www.sciensano.be/en/projects/influenza-illness-including-covid-19-sentinel-surveillance-belgian-nursing-homes>;
  dcterms:description "Het doel van ILI_NH is het signaleren en monitoren van het begin, de duur en de intensiteit van golven of uitbraken van griepachtige aandoeningen (ILI) – waaronder COVID-19 – onder bewoners van verpleeghuizen (NH), teneinde de geleverde gezondheidszorg, planning, beheer en beleid te optimaliseren en te ondersteunen. Daarnaast volgt ILI_NH lokaal circulerende virustypen/subtypes of -stammen/substammen en hun relatie tot mondiale en regionale patronen. We beschikken over een geaggregeerde dataset op verpleeghuisniveau met ILI-gevallen, ILI-gerelateerde ziekenhuisopnames en sterfgevallen in verpleeghuizen voor het gehele seizoen. We beschikken over geanonimiseerde steekproefgegevens van bewoners van verpleeghuizen met gekoppelde epidemiologische gegevens tussen oktober en mei van elk seizoen."@nl,
    "The objective of ILI_NH is to signal and monitor start, duration and intensity of influenza-like illness or ILI (including COVID-19) waves/appearances among nursing homes (NH) residents to optimize and support provided health-care, -planning, -management and -policies. In addition, ILI_NH monitors locally circulating virus types/subtypes or lineages/sub-lineages and their relationship to global and regional patterns. We have an aggregated dataset on NH level with ILI-cases, ILI-related hospital admissions, and deaths in NH, for the whole season. We have anonymized sample data of nursing home residents with linked epidemiological data between October and May of each season."@en,
    "L'objectif d'ILI_NH est de signaler et de surveiller le début, la durée et l'intensité des vagues ou des épidémies de syndromes grippaux (y compris la COVID-19) chez les résidents des maisons de retraite afin d'optimiser et de soutenir les soins de santé, la planification, la gestion et les politiques en la matière. En outre, ILI_NH surveille les types/sous-types ou lignées/sous-lignées de virus circulant localement et leur relation avec les tendances mondiales et régionales. Nous disposons d'un ensemble de données agrégées au niveau des EHPAD comprenant les cas de SGI, les hospitalisations liées à la SGI et les décès en EHPAD, pour l'ensemble de la saison. Nous disposons d'échantillons de données anonymisées sur les résidents des établissements d'hébergement pour personnes âgées, associées à des données épidémiologiques, pour la période comprise entre octobre et mai de chaque saison."@fr;
  dcterms:publisher [ a foaf:Agent;
      dcterms:type <http://healthdataportal.eu/resource/authority/publisher-type/nationalPublicHealthInstitute>;
      <http://data.europa.eu/m8g/contactPoint> [ a <http://data.europa.eu/m8g/ContactPoint>;
          <http://data.europa.eu/m8g/contactPage> <https://sciensano.be>;
          <http://data.europa.eu/m8g/email> <mailto:info@sciensano.be>
        ];
      foaf:name "Sciensano";
      dcterms:description "Sciensano is the Belgian national public health institute."@en
    ];
  dcterms:title "ILI-NH - Influenza-like illness (including COVID-19) sentinel surveillance in Belgian nursing homes"@en,
    "ILI-NH - Surveillance sentinelle des syndromes grippaux (y compris la COVID-19) dans les maisons de repos belges"@fr,
    "ILI-NH - Sentinelonderzoek naar griepachtige aandoeningen (inclusief COVID-19) in Belgische verzorgingstehuizen"@nl;
  dcterms:conformsTo <https://public-fdp.sciensano.be/profile/2f08228e-1789-40f8-84cd-28e3288c3604> .

<https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a/metrics/445c0a70d1e214e545b261559e2842f4>
  <http://semanticscience.org/resource/SIO_000332> <https://www.ietf.org/rfc/rfc3986.txt>;
  <http://semanticscience.org/resource/SIO_000628> <https://www.ietf.org/rfc/rfc3986.txt> .

<https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a/metrics/5d27e854a9e78eb3f663331cd47cdc13>
  <http://semanticscience.org/resource/SIO_000332> <https://www.wikidata.org/wiki/Q8777>;
  <http://semanticscience.org/resource/SIO_000628> <https://www.wikidata.org/wiki/Q8777> .

<https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a#identifier>
  a <http://purl.org/spar/datacite/Identifier>;
  dcterms:identifier "https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a" .

<https://public-fdp.sciensano.be/distribution/> a ldp:DirectContainer;
  dcterms:title "Distributions";
  ldp:membershipResource <https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a>;
  ldp:hasMemberRelation dcat:distribution;
  ldp:contains <https://public-fdp.sciensano.be/distribution/23f16a2c-af67-453c-891a-a6fe4c6ab1b9> .

<https://public-fdp.sciensano.be/sample/> a ldp:DirectContainer;
  dcterms:title "Samples";
  ldp:membershipResource <https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a>;
  ldp:hasMemberRelation <http://www.w3.org/ns/adms#sample> .

<https://public-fdp.sciensano.be/analytics/> a ldp:DirectContainer;
  dcterms:title "Analytics";
  ldp:membershipResource <https://public-fdp.sciensano.be/dataset/ad166b10-6936-4d10-a728-ef6cd6be1e8a>;
  ldp:hasMemberRelation <http://healthdataportal.eu/ns/health#analytics> .

<https://public-fdp.sciensano.be/profile/2f08228e-1789-40f8-84cd-28e3288c3604> <http://www.w3.org/2000/01/rdf-schema#label>
    "Dataset Profile" .
