EUR > Medicine & Health > Erasmus MC > View Doctoral Thesis
http://hdl.handle.net/1765/37852

Dynamic population health modeling for quantitative health impact assessment : Methodological foundation and selective applications

(Dynamisch modelleren van de volksgezondheid voor kwantitatieve gezondheidseffectschatting: Methodologische onderbouwing en geselecteerde toepassingen)


Doctoral Thesis
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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.


Supervisors (promotores):

Prof. Dr. Mackenbach, J.P.
Prof. Dr. Boshuizen, H.C.


Keywords


Automatically Extracted Terms
  • 0.0
  • disease
  • health
  • model
  • factor
  • 0.1
  • population
  • mortality
  • state
  • dynamo-hia
  • alcohol
  • health impact assessment
  • prevalence
  • policy
  • cancer
  • impact
  • scenario
  • effect
  • price
  • transition


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