@prefix dcterms: .
@prefix dcat: .
@prefix foaf: .
@prefix xsd: .
@prefix ldp: .
a ;
dcterms:identifier "https://public-fdp.sciensano.be/dataset/897cefb9-0cc4-4b97-b435-12ea87ff78e9" .
a dcterms:Location .
a ;
"Health"@en .
a dcterms:LinguisticSystem .
a dcterms:RightsStatement .
a .
a dcterms:Frequency .
a ;
"http://10.5.8.138:8080/dataset/818561b2-7d59-44e6-a105-e4206d8ed4e5"^^xsd:anyURI .
a ;
"Zenodo";
"https://zenodo.org/records/11397544"^^xsd:anyURI .
a ;
"https://sciensano.healthdataportal.eu:443/dataset/709c03fc-de5b-4da0-bd07-a142e0e86b4f"^^xsd:anyURI .
a foaf:Agent;
foaf:name "Leonor Guariguata" .
a foaf:Agent;
foaf:name "Sarah Croes" .
a foaf:Agent;
foaf:name "Sarah Nayani" .
a foaf:Agent;
foaf:name "Brecht Devleesschauwer" .
a foaf:Agent;
foaf:name "Vanessa Gorasso" .
a dcterms:ProvenanceStatement;
"This dataset is based on the causes of death database from the Belgian National Burden of Disease Study (BeBOD), which in turn is based on Statbel. Other source(s) used are the Belgian Health Interview Survey data for the data on tobacco use."@en .
a ;
dcterms:description "What are the most important diseases in Belgium? Which risk factors contribute most to the overall disease burden? How is the burden of disease evolving over time, and how does it differ across the country? In a context of increasing budgetary constraints, a precise answer to these basic questions is more than ever necessary to inform policy-making. To address this need, Sciensano is conducting a national burden of disease study. In addition to generating internally consistent estimates of death rate (mortality) or how unhealthy we are (morbidity) by age, sex and region, the estimates will also include how much of that burden can be attributed to risk factors. This can be useful for priority setting and prevention policy planning."@en .
a ;
"Data from medical registries and mortality registries"@en .
a foaf:Document .
a ;
"https://intranet-fdp.sciensano.be/dataset/07ce607a-eae1-4db5-b299-502519fe69eb"^^xsd:anyURI .
a foaf:Document .
a dcat:Resource,
dcat:Dataset;
dcterms:accessRights ;
dcterms:identifier "https://doi.org/10.5281/zenodo.11397544"^^xsd:anyURI;
dcterms:language ;
dcterms:license ;
dcat:version "Version v2024-04-24";
;
"2026-07-22T23:01:53.046Z"^^xsd:dateTime;
"2026-09-22T23:01:39.159Z"^^xsd:dateTime;
,
;
dcterms:isPartOf ;
"2026-07-22T23:01:14.000Z"^^xsd:dateTime;
;
;
;
;
dcterms:provenance ;
dcterms:spatial ;
"1140";
,
, ,
;
dcat:keyword "Belgium"@en, "BeBOD"@en, "Burden of disease"@en, "Mortality"@en, "Tobacco use"@en,
"Years of life lost"@en;
dcat:landingPage , ;
dcat:theme ;
"65"^^xsd:nonNegativeInteger;
"0"^^xsd:nonNegativeInteger;
"376849"^^xsd:nonNegativeInteger;
"The general Belgian population"@en;
dcterms:accrualPeriodicity ;
dcterms:creator , ,
, ,
;
;
dcterms:temporal [ a dcterms:PeriodOfTime;
dcat:endDate "2020-12-31"^^xsd:date;
dcat:startDate "2013-01-01"^^xsd:date
];
dcterms:alternative "BeBOD"@en;
dcat:distribution ,
;
;
"BeBOD estimates of attributable mortality and years of life lost due to tobacco use, 2013-2020";
foaf:page ;
dcterms:description "Étude nationale belge sur la charge de morbidité : estimations de la charge de morbidité attribuable Nos résultats s'appuient sur les estimations des causes de décès issues de l'étude nationale belge sur la charge de morbidité et recourent à l'évaluation comparative des risques pour estimer la part de cette charge imputable aux facteurs de risque. Fraction attribuable à la population À partir du niveau d'exposition estimé et du risque sanitaire associé, on calcule une fraction attribuable à la population (FAP). La PAF correspond à la proportion de la charge de morbidité causée par l'exposition au facteur de risque. Charge attribuable La charge de morbidité est quantifiée en décès et en années de vie perdues (YLL). Pour déterminer la charge attribuable à un facteur de risque, sa PAF est multipliée par la charge totale observée. Facteurs de risque Tabagisme La prévalence des personnes n'ayant jamais fumé, des anciens fumeurs et des fumeurs actuels, ainsi que le nombre quotidien de cigarettes fumées par les fumeurs, sont tirés de l'Enquête belge de santé par interview. Des modèles de régression bayésiens sont utilisés pour lisser, interpoler et extrapoler les estimations observées. Plus d'informations Pour plus d'informations sur BeBOD, veuillez consulter le site https://www.sciensano.be/en/projects/belgian-national-burden-disease-study. Explorez les estimations via https://burden.sciensano.be/shiny/risk."@fr,
"Belgian National Burden of Disease Study Estimates of the attributable burden of disease Our results build on the estimates of causes of death from the Belgian National Burden of Disease Study and apply comparative risk assessment to estimate the proportion of that burden due to risk factors. Population attributable fraction Based on the estimated level of exposure and the associated health risk, a population attributable fraction (PAF) is calculated. The PAF is the proportion of the disease burden that is caused by exposure to the risk factor. Attributable burden The burden of disease is quantified in deaths and in Years of Life Lost (YLL). To derive the burden attributable to a risk factor, its PAF is multiplied with the total observed burden. Risk factors Tobacco use The prevalence of never, former and current smokers, as well as the daily number of cigarettes smoked by smokers, is derived from the Belgian Health Interview Survey. Bayesian regression models are used to smoothen, interpolate and extrapolate observed estimates. More information For additional background on BeBOD, please visit https://www.sciensano.be/en/projects/belgian-national-burden-disease-study. Explore the estimates via https://burden.sciensano.be/shiny/risk."@en,
"Belgische nationale studie naar de ziektelast: schattingen van de toe te schrijven ziektelast Onze resultaten zijn gebaseerd op de schattingen van de doodsoorzaken uit de Belgische nationale studie naar de ziektelast en maken gebruik van een vergelijkende risicobeoordeling om het aandeel van die ziektelast dat aan risicofactoren kan worden toegeschreven, te schatten. Populatie-attribuutfractie Op basis van het geschatte blootstellingsniveau en het daarmee samenhangende gezondheidsrisico wordt een populatie-attribuutfractie (PAF) berekend. De PAF is het aandeel van de ziektelast dat wordt veroorzaakt door blootstelling aan de risicofactor. Toerekenbare last De ziektelast wordt gekwantificeerd in sterfgevallen en in Years of Life Lost (YLL). Om de aan een risicofactor toe te rekenen last af te leiden, wordt de PAF ervan vermenigvuldigd met de totale waargenomen last. Risicofactoren Tabaksgebruik De prevalentie van mensen die nooit hebben gerookt, ex-rokers en huidige rokers, evenals het dagelijkse aantal sigaretten dat door rokers wordt gerookt, is afgeleid uit de Belgian Health Interview Survey. Er worden Bayesiaanse regressiemodellen gebruikt om waargenomen schattingen te afvlakken, te interpoleren en te extrapoleren. Meer informatie Voor meer achtergrondinformatie over BeBOD kunt u terecht op https://www.sciensano.be/en/projects/belgian-national-burden-disease-study. Bekijk de schattingen via https://burden.sciensano.be/shiny/risk."@nl;
dcterms:issued "2024-04-24T00:00:00.000Z"^^xsd:dateTime;
dcterms:modified "2024-04-24T00:00:00.000Z"^^xsd:dateTime;
dcterms:publisher [ a foaf:Agent;
dcterms:type ;
[ a ;
;
];
foaf:name "Sciensano";
dcterms:description "Sciensano is a research institute and the national public health institute of Belgium. It is a so-called federal scientific institution that operates under the authority of the federal minister of Public Health and the federal minister of Agriculture of Belgium"@en
];
dcterms:title "BeBOD estimates of attributable mortality and years of life lost due to tobacco use, 2013-2020"@en,
"BeBOD schattingen van de aan tabaksgebruik toe te schrijven sterfte en het aantal verloren levensjaren, 2013-2020"@en,
"Estimations du BeBOD concernant la mortalité attribuable au tabagisme et les années de vie perdues, 2013-2020"@fr;
dcterms:conformsTo .
;
.
;
.
a ldp:DirectContainer;
dcterms:title "Distributions";
ldp:membershipResource ;
ldp:hasMemberRelation dcat:distribution;
ldp:contains ,
.
a ldp:DirectContainer;
dcterms:title "Samples";
ldp:membershipResource ;
ldp:hasMemberRelation .
a ldp:DirectContainer;
dcterms:title "Analytics";
ldp:membershipResource ;
ldp:hasMemberRelation ;
ldp:contains .
"Dataset Profile" .