ArticleDemography2012
The DYNAMO-HIA model: an efficient implementation of a risk factor/chronic disease Markov model for use in Health Impact Assessment (HIA).
Article in Demography, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.
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Who cites it
35 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Modelling health and economic impact of nutrition interventions: a systematic review.European journal of clinical nutrition · 2023Pooled it
- Health gain by salt reduction in europe: a modelling study.PloS one · 2015Pooled it
- Cost-Effectiveness of Personalised Nutrition in Adults With Overweight and Obesity: PREVENTOMICS Studies in Poland and the UK.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2025Trial
- Non-communicable disease burden through adhering to Dutch dietary guidelines: a modeling study to estimate future reductions.EClinicalMedicine · 2025Article
- Foresight in public health: a tutorial on application and insights on challenges from the PHIRI foresight exercise.European journal of public health · 2024Article
- A Blueprint for Multi-use Disease Modeling in Health Economics: Results from Two Expert-Panel Consultations.PharmacoEconomics · 2024Article
- Economic Evaluation of a Personalized Nutrition Plan Based on Omic Sciences Versus a General Nutrition Plan in Adults with Overweight and Obesity: A Modeling Study Based on Trial Data in Denmark.PharmacoEconomics - open · 2024Article
- Constructing synthetic populations in the age of big data.Population health metrics · 2023Article
- Reducing daily salt intake in China by 1 g could prevent almost 9 million cardiovascular events by 2030: a modelling study.BMJ nutrition, prevention & health · 2022Article
- Estimating the health and economic effects of the voluntary sodium reduction targets in Brazil: microsimulation analysis.BMC medicine · 2021Article
- HIA and EIA Are Different, but Maybe Not in the Way We Thought They Were: A Bibliometric Analysis.International journal of environmental research and public health · 2021Article
- To what extent could cardiovascular diseases be reduced if Germany applied fiscal policies to increase fruit and vegetable consumption? A quantitative health impact assessment.Public health nutrition · 2021Article
- Modelling tool to support decision-making in the NHS Health Check programme: workshops, systematic review and co-production with users.Health technology assessment (Winchester, England) · 2021Article
- Health impact assessment to predict the impact of tobacco price increases on COPD burden in Italy, England and Sweden.Scientific reports · 2021Article
- A health inequality impact assessment from reduction in overweight and obesity.BMC public health · 2020Article
- Simulations of future cardiometabolic disease and life expectancy under counterfactual obesity reduction scenarios.Preventive medicine reports · 2020Article
- Equity impacts of interventions to increase physical activity among older adults: a quantitative health impact assessment.The international journal of behavioral nutrition and physical activity · 2020Article
- Economic Evaluation of Five Tobacco Control Policies Across Seven European Countries.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020Article
- A social cost-benefit analysis of meat taxation and a fruit and vegetables subsidy for a healthy and sustainable food consumption in the Netherlands.BMC public health · 2020Article
- Potential impact of reduced tobacco use on life and health expectancies in Belgium.International journal of public health · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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 technically (keeping down execution time and memory use) and practically (estimating the model parameters and retaining transparency). To meet this challenge, we propose an approach that combines micro-simulation of the exposure information with macro-simulation of the diseases and survival. This approach allows users to simulate exposure in detail while avoiding the need for large simulated populations because of the relative rareness of chronic disease events. Further efficiency is gained by splitting the disease state space into smaller spaces, each of which contains a cluster of diseases that is independent of the other clusters. The challenge of feasible input data requirements is met by including parameter calculation routines, which use marginal population data to estimate the transitions between states. As an illustration, we present the recently developed model DYNAMO-HIA (DYNAMIC MODEL for Health Impact Assessment) that implements this approach.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.