Rudolf T Hoogenveen
Biographic Data
| ID | 5506750 |
|---|---|
| NAME | Rudolf T Hoogenveen |
| GIVEN NAMES | Rudolf T |
| FAMILY NAME | Hoogenveen |
| SIGNATURE | HOOGENVEEN R T |
| AFFILIATIONS | National Institute for Public Health and the Environment |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1993 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
Lifetime cost-effectiveness and equity impacts of the Healthy Primary School of the Future initiative
Clinicaltrials.gov ( NCT02800616 ). Registered 15 June 2016 - Retrospectively registered
The Dynamo-HIA Model
In Health Impact Assessment (HIA), or priority-setting for health policy, effects of risk factors (exposures) on health need to be modeled, such as with a Markov model, in which exposure influences mortality and disease incidence rates. Because many risk factors are related to a variety of chronic diseases, these Markov models potentially contain a large number of states (risk factor and disease combinations), providing a challenge both technical…
Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data
Estimates of incidence and prevalence can be obtained by combining data from GPRNs. Uncertainty in the estimates of absolute figures may lead to different rankings of diseases and, hence, should be taken into consideration when comparing disease incidences and prevalences
Forecasting the number of diabetic patients in The Netherlands in 2005
OBJECTIVES. There is evidence from past decades that the number of diabetic patients has increased independently of changes in demography. A static model that takes into account only demographic changes is therefore unable to forecast the expected number of diabetic patients correctly. METHODS. We developed a dynamic model in which actual incidence, prevalence, and life expectancy data are used and alternative assumptions about future trends in t…
The Dynamo-HIA Model
In Health Impact Assessment (HIA), or priority-setting for health policy, effects of risk factors (exposures) on health need to be modeled, such as with a Markov model, in which exposure influences mortality and disease incidence rates. Because many risk factors are related to a variety of chronic diseases, these Markov models potentially contain a large number of states (risk factor and disease combinations), providing a challenge both technical…
Forecasting the number of diabetic patients in The Netherlands in 2005
OBJECTIVES. There is evidence from past decades that the number of diabetic patients has increased independently of changes in demography. A static model that takes into account only demographic changes is therefore unable to forecast the expected number of diabetic patients correctly. METHODS. We developed a dynamic model in which actual incidence, prevalence, and life expectancy data are used and alternative assumptions about future trends in t…
Estimating and comparing incidence and prevalence of chronic diseases by combining GP registry data
Estimates of incidence and prevalence can be obtained by combining data from GPRNs. Uncertainty in the estimates of absolute figures may lead to different rankings of diseases and, hence, should be taken into consideration when comparing disease incidences and prevalences
The Dynamo-HIA Model
In Health Impact Assessment (HIA), or priority-setting for health policy, effects of risk factors (exposures) on health need to be modeled, such as with a Markov model, in which exposure influences mortality and disease incidence rates. Because many risk factors are related to a variety of chronic diseases, these Markov models potentially contain a large number of states (risk factor and disease combinations), providing a challenge both technical…
Lifetime cost-effectiveness and equity impacts of the Healthy Primary School of the Future initiative
Clinicaltrials.gov ( NCT02800616 ). Registered 15 June 2016 - Retrospectively registered
Medicine (4 works) · Demography (3 works) · Environmental health (3 works) · Mathematics (3 works) · Public health (3 works) · Biostatistics (2 works) · Chronic Disease Management Strategies (2 works) · Demography (2 works) · Gerontology (2 works) · Health Promotion and Cardiovascular Prevention (2 works)