The future burden of type 2 diabetes in Belgium: a microsimulation model
Objective: To forecast the annual burden of type 2 diabetes and related socio-demographic disparities in Belgium until 2030. Methods: This study utilized a discrete-event transition microsimulation model. A synthetic population was created using 2018 national register data of the Belgian population aged 0-80 years, along with the national representative prevalence of diabetes risk factors obtained from the latest (2018) Belgian Health Interview and Examination Surveys using Multiple Imputation by Chained Equations (MICE) as inputs to the Simulation of Synthetic Complex Data (simPop) model. Mor... Mehr ...
Verfasser: | |
---|---|
Dokumenttyp: | research article |
Erscheinungsdatum: | 2024 |
Verlag/Hrsg.: |
BioMed Central (BMC)
|
Schlagwörter: | Diabetes / Microsimulation / Burden / Forecast / Diabetes Mellitus / Type 2 / Humans / Belgium / Female / Adult / Middle Aged / Aged / Male / Adolescent / Young Adult / Child / 80 and over / Preschool / Prevalence / Infant / Risk Factors / Newborn / Incidence / Forecasting / Cost of Illness / Socioeconomic Factors / Computer Simulation |
Sprache: | Englisch |
Permalink: | https://search.fid-benelux.de/Record/base-27362500 |
Datenquelle: | BASE; Originalkatalog |
Powered By: | BASE |
Link(s) : | https://hdl.handle.net/20.500.12105/19387 |