The non-fatal burden of cancer in Belgium, 2004–2019: a nationwide registry-based study ...
Abstract Background The importance of assessing and monitoring the health status of a population has grown in the last decades. Consistent and high quality data on the morbidity and mortality impact of a disease represent the key element for this assessment. Being increasingly used in global and national burden of diseases (BoD) studies, the Disability-Adjusted Life Year (DALY) is an indicator that combines healthy life years lost due to living with disease (Years Lived with Disability; YLD) and due to dying prematurely (Years of Life Lost; YLL). As a step towards a comprehensive national burd... Mehr ...
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Dokumenttyp: | Datenquelle |
Erscheinungsdatum: | 2022 |
Verlag/Hrsg.: |
figshare
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Schlagwörter: | Medicine / Biotechnology / 59999 Environmental Sciences not elsewhere classified / FOS: Earth and related environmental sciences / Sociology / FOS: Sociology / Immunology / FOS: Clinical medicine / 69999 Biological Sciences not elsewhere classified / FOS: Biological sciences / Cancer / Science Policy / Computational Biology |
Sprache: | unknown |
Permalink: | https://search.fid-benelux.de/Record/base-28970869 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://dx.doi.org/10.6084/m9.figshare.c.5792945 |
Abstract Background The importance of assessing and monitoring the health status of a population has grown in the last decades. Consistent and high quality data on the morbidity and mortality impact of a disease represent the key element for this assessment. Being increasingly used in global and national burden of diseases (BoD) studies, the Disability-Adjusted Life Year (DALY) is an indicator that combines healthy life years lost due to living with disease (Years Lived with Disability; YLD) and due to dying prematurely (Years of Life Lost; YLL). As a step towards a comprehensive national burden of disease study, this study aims to estimate the non-fatal burden of cancer in Belgium using national data. Methods We estimated the Belgian cancer burden from 2004 to 2019 in terms of YLD, using national population-based cancer registry data and international disease models. We developed a microsimulation model to translate incidence- into prevalence-based estimates, and used expert elicitation to integrate the ...