Dynamic population health modeling for quantitative health impact assessment : Methodological foundation and selected applications
Health Impact Assessment (HIA) – the evaluation policies, projects, or proposals concerning their effects on human health – becomes increasingly common practice at the local, national, and EU-level. So far, no standard tool exists to aid the quantification step in HIA. This thesis proposes dynamic population health modeling as a methodological foundation for quantitative HIA by motivating and introducing a ready-to-use software tool for this purpose: DYNAMO-HIA. This tool is equipped with a unique and novel data-set, covering the most important life-style risk factors (alcohol, smoking, obesity) and a number of related chronic diseases enabling to conduct HIAs for most EU countries. In addition, selected applications are presented ranging from the health consequences of an EU-wide tax increase on alcohol to the quantification of the life-long health benefits of reducing obesity when entering adulthood.
|Keywords||BMI, COPD, DYNAMO, EHIA, EIA, EU, HIA, HTA, Markov Model, alcohol, cancer, chronic diseases, diabetes, disability expectatncy, environmental health impact assessment, environmental impact assessment, health impact assessment, health technology assessment, incidence, life expectancy, lifestyle risk factors, macro-simulation, micro-simulation, mod, mortality, patient level modeling, prevalence, public health economics, simulation, smoking, tobacco|
|Promotor||Mackenbach, J.P. (Johan) , Boshuizen, H.C. (Hendriek)|
|Publisher||Erasmus MC: University Medical Center Rotterdam|
Lhachimi, S.K.. (2011, November 18). Dynamic population health modeling for quantitative health impact assessment : Methodological foundation and selected applications. Erasmus MC: University Medical Center Rotterdam. Retrieved from http://hdl.handle.net/1765/37852