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: Mertens, Elly
Ocira, Junior
Sagastume, Diana
Vasquez, Maria Salve
Vandevijvere, Stefanie
Peñalvo, José L
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-27393401
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://hdl.handle.net/20.500.12105/19387