ArticlePloS one2012
DYNAMO-HIA--a Dynamic Modeling tool for generic Health Impact Assessments.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.
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Who cites it
32 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Alcohol consumption's attributable disease burden and cost-effectiveness of targeted public health interventions: a systematic review of mathematical models.BMC public health · 2019Pooled it
- Health gain by salt reduction in europe: a modelling study.PloS one · 2015Pooled it
- Non-communicable disease burden through adhering to Dutch dietary guidelines: a modeling study to estimate future reductions.EClinicalMedicine · 2025Article
- Trends in educational inequalities in obesity-attributable mortality in England and Wales, Finland, and Italy.Obesity (Silver Spring, Md.) · 2025Article
- Prevention Lab: a predictive model for estimating the impact of prevention interventions in a simulated Italian cohort.BMC public health · 2024Article
- 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
- Reducing the Burden of Disease Through Tobacco Taxes in Mongolia: A Health Impact Analysis Using a Dynamic Public Health Model.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2022Article
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- Planning for tomorrow: global cancer incidence and the role of prevention 2020-2070.Nature reviews. Clinical oncology · 2021Review
- 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
- 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
- Incidence trends of airflow obstruction among European adults without asthma: a 20-year cohort study.Scientific reports · 2020Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCurrently, no standard tool is publicly available that allows researchers or policy-makers to quantify the impact of policies using epidemiological evidence within the causal framework of Health Impact Assessment (HIA). A standard tool should comply with three technical criteria (real-life population, dynamic projection, explicit risk-factor states) and three usability criteria (modest data requirements, rich model output, generally accessible) to be useful in the applied setting of HIA. With DYNAMO-HIA (Dynamic Modeling for Health Impact Assessment), we introduce such a generic software tool specifically designed to facilitate quantification in the assessment of the health impacts of policies. METHODS AND
resultsDYNAMO-HIA quantifies the impact of user-specified risk-factor changes on multiple diseases and in turn on overall population health, comparing one reference scenario with one or more intervention scenarios. The Markov-based modeling approach allows for explicit risk-factor states and simulation of a real-life population. A built-in parameter estimation module ensures that only standard population-level epidemiological evidence is required, i.e. data on incidence, prevalence, relative risks, and mortality. DYNAMO-HIA provides a rich output of summary measures--e.g. life expectancy and disease-free life expectancy--and detailed data--e.g. prevalences and mortality/survival rates--by age, sex, and risk-factor status over time. DYNAMO-HIA is controlled via a graphical user interface and is publicly available from the internet, ensuring general accessibility. We illustrate the use of DYNAMO-HIA with two example applications: a policy causing an overall increase in alcohol consumption and quantifying the disease-burden of smoking.
conclusionBy combining modest data needs with general accessibility and user friendliness within the causal framework of HIA, DYNAMO-HIA is a potential standard tool for health impact assessment based on epidemiologic evidence.
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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.