Matches in SemOpenAlex for { <https://semopenalex.org/work/W2108805518> ?p ?o ?g. }
- W2108805518 endingPage "e33317" @default.
- W2108805518 startingPage "e33317" @default.
- W2108805518 abstract "Background Currently, 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 Results DYNAMO-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. Conclusion By 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." @default.
- W2108805518 created "2016-06-24" @default.
- W2108805518 creator A5005004120 @default.
- W2108805518 creator A5015600063 @default.
- W2108805518 creator A5021915495 @default.
- W2108805518 creator A5024087229 @default.
- W2108805518 creator A5024259201 @default.
- W2108805518 creator A5028067284 @default.
- W2108805518 creator A5029793565 @default.
- W2108805518 creator A5032290945 @default.
- W2108805518 creator A5033136078 @default.
- W2108805518 creator A5039786996 @default.
- W2108805518 creator A5042474249 @default.
- W2108805518 creator A5056314340 @default.
- W2108805518 date "2012-05-10" @default.
- W2108805518 modified "2023-10-07" @default.
- W2108805518 title "DYNAMO-HIA–A Dynamic Modeling Tool for Generic Health Impact Assessments" @default.
- W2108805518 cites W1809365286 @default.
- W2108805518 cites W1974161354 @default.
- W2108805518 cites W1982728177 @default.
- W2108805518 cites W1993116630 @default.
- W2108805518 cites W1999347590 @default.
- W2108805518 cites W2004739806 @default.
- W2108805518 cites W2029492656 @default.
- W2108805518 cites W2033327372 @default.
- W2108805518 cites W2051288407 @default.
- W2108805518 cites W2056516403 @default.
- W2108805518 cites W2060311219 @default.
- W2108805518 cites W2076944358 @default.
- W2108805518 cites W2099235071 @default.
- W2108805518 cites W2119683858 @default.
- W2108805518 cites W2122777279 @default.
- W2108805518 cites W2149385960 @default.
- W2108805518 cites W2170345251 @default.
- W2108805518 doi "https://doi.org/10.1371/journal.pone.0033317" @default.
- W2108805518 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3349723" @default.
- W2108805518 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22590491" @default.
- W2108805518 hasPublicationYear "2012" @default.
- W2108805518 type Work @default.
- W2108805518 sameAs 2108805518 @default.
- W2108805518 citedByCount "57" @default.
- W2108805518 countsByYear W21088055182012 @default.
- W2108805518 countsByYear W21088055182013 @default.
- W2108805518 countsByYear W21088055182014 @default.
- W2108805518 countsByYear W21088055182015 @default.
- W2108805518 countsByYear W21088055182016 @default.
- W2108805518 countsByYear W21088055182017 @default.
- W2108805518 countsByYear W21088055182018 @default.
- W2108805518 countsByYear W21088055182019 @default.
- W2108805518 countsByYear W21088055182020 @default.
- W2108805518 countsByYear W21088055182021 @default.
- W2108805518 countsByYear W21088055182022 @default.
- W2108805518 crossrefType "journal-article" @default.
- W2108805518 hasAuthorship W2108805518A5005004120 @default.
- W2108805518 hasAuthorship W2108805518A5015600063 @default.
- W2108805518 hasAuthorship W2108805518A5021915495 @default.
- W2108805518 hasAuthorship W2108805518A5024087229 @default.
- W2108805518 hasAuthorship W2108805518A5024259201 @default.
- W2108805518 hasAuthorship W2108805518A5028067284 @default.
- W2108805518 hasAuthorship W2108805518A5029793565 @default.
- W2108805518 hasAuthorship W2108805518A5032290945 @default.
- W2108805518 hasAuthorship W2108805518A5033136078 @default.
- W2108805518 hasAuthorship W2108805518A5039786996 @default.
- W2108805518 hasAuthorship W2108805518A5042474249 @default.
- W2108805518 hasAuthorship W2108805518A5056314340 @default.
- W2108805518 hasBestOaLocation W21088055181 @default.
- W2108805518 hasConcept C112930515 @default.
- W2108805518 hasConcept C133925201 @default.
- W2108805518 hasConcept C138816342 @default.
- W2108805518 hasConcept C144133560 @default.
- W2108805518 hasConcept C159110408 @default.
- W2108805518 hasConcept C162118730 @default.
- W2108805518 hasConcept C2778149918 @default.
- W2108805518 hasConcept C2780456720 @default.
- W2108805518 hasConcept C2908647359 @default.
- W2108805518 hasConcept C41008148 @default.
- W2108805518 hasConcept C71924100 @default.
- W2108805518 hasConcept C99454951 @default.
- W2108805518 hasConceptScore W2108805518C112930515 @default.
- W2108805518 hasConceptScore W2108805518C133925201 @default.
- W2108805518 hasConceptScore W2108805518C138816342 @default.
- W2108805518 hasConceptScore W2108805518C144133560 @default.
- W2108805518 hasConceptScore W2108805518C159110408 @default.
- W2108805518 hasConceptScore W2108805518C162118730 @default.
- W2108805518 hasConceptScore W2108805518C2778149918 @default.
- W2108805518 hasConceptScore W2108805518C2780456720 @default.
- W2108805518 hasConceptScore W2108805518C2908647359 @default.
- W2108805518 hasConceptScore W2108805518C41008148 @default.
- W2108805518 hasConceptScore W2108805518C71924100 @default.
- W2108805518 hasConceptScore W2108805518C99454951 @default.
- W2108805518 hasIssue "5" @default.
- W2108805518 hasLocation W21088055181 @default.
- W2108805518 hasLocation W210880551810 @default.
- W2108805518 hasLocation W21088055182 @default.
- W2108805518 hasLocation W21088055183 @default.
- W2108805518 hasLocation W21088055184 @default.
- W2108805518 hasLocation W21088055185 @default.
- W2108805518 hasLocation W21088055186 @default.