Context of IEHIAS: Difference between revisions

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* [[:Category:IEHIAS Geographic|Geographic]]
* [[:Category:IEHIAS Geographic|Geographic]]
* [[:Category:IEHIAS Population/Demography|Population/Demography]]
* [[:Category:IEHIAS Population/Demography|Population/Demography]]
==See also==
{{IEHIAS}}

Latest revision as of 19:02, 25 September 2014


The text on this page is taken from an equivalent page of the IEHIAS-project.

Any assessment of environmental health impacts depends on the context in which it is undertaken: the specific study area and population, and the assumptions made as part of the assessment scenarios. These contextual conditions need to be specified. In addition, many of thedata sets used in an assessment (for example on sources, exposures andf health effects) have to be lined to some form of spatial reference system (such as administrative regions) or linked to recognisable environmental features (e.g. cities, landscape zones) for the purpose of analysis, visualisation and interpretation.

For all these reasons, assessments require a range of contextual or background data, including:

  1. Geographic data, such as:
  2. Population and demography, such as:
    • population numbers or density
    • age and gender
    • socio-economic status
  3. Background health status, such as:
    • mortality rates
    • morbidity

Selected data sets, and information on other data sources, are available via these links.

Pages under this topic

See also

Integrated Environmental Health Impact Assessment System
IEHIAS is a website developed by two large EU-funded projects Intarese and Heimtsa. The content from the original website was moved to Opasnet.
Topic Pages
Toolkit
Data

Boundaries · Population: age+sex 100m LAU2 Totals Age and gender · ExpoPlatform · Agriculture emissions · Climate · Soil: Degredation · Atlases: Geochemical Urban · SoDa · PVGIS · CORINE 2000 · Biomarkers: AP As BPA BFRs Cd Dioxins DBPs Fluorinated surfactants Pb Organochlorine insecticides OPs Parabens Phthalates PAHs PCBs · Health: Effects Statistics · CARE · IRTAD · Functions: Impact Exposure-response · Monetary values · Morbidity · Mortality: Database

Examples and case studies Defining question: Agriculture Waste Water · Defining stakeholders: Agriculture Waste Water · Engaging stakeholders: Water · Scenarios: Agriculture Crop CAP Crop allocation Energy crop · Scenario examples: Transport Waste SRES-population UVR and Cancer
Models and methods Ind. select · Mindmap · Diagr. tools · Scen. constr. · Focal sum · Land use · Visual. toolbox · SIENA: Simulator Data Description · Mass balance · Matrix · Princ. comp. · ADMS · CAR · CHIMERE · EcoSenseWeb · H2O Quality · EMF loss · Geomorf · UVR models · INDEX · RISK IAQ · CalTOX · PANGEA · dynamiCROP · IndusChemFate · Transport · PBPK Cd · PBTK dioxin · Exp. Response · Impact calc. · Aguila · Protocol elic. · Info value · DST metadata · E & H: Monitoring Frameworks · Integrated monitoring: Concepts Framework Methods Needs
Listings Health impacts of agricultural land use change · Health impacts of regulative policies on use of DBP in consumer products
Guidance System
The concept
Issue framing Formulating scenarios · Scenarios: Prescriptive Descriptive Predictive Probabilistic · Scoping · Building a conceptual model · Causal chain · Other frameworks · Selecting indicators
Design Learning · Accuracy · Complex exposures · Matching exposure and health · Info needs · Vulnerable groups · Values · Variation · Location · Resolution · Zone design · Timeframes · Justice · Screening · Estimation · Elicitation · Delphi · Extrapolation · Transferring results · Temporal extrapolation · Spatial extrapolation · Triangulation · Rapid modelling · Intake fraction · iF reading · Piloting · Example · Piloting data · Protocol development
Execution Causal chain · Contaminant sources · Disaggregation · Contaminant release · Transport and fate · Source attribution · Multimedia models · Exposure · Exposure modelling · Intake fraction · Exposure-to-intake · Internal dose · Exposure-response · Impact analysis · Monetisation · Monetary values · Uncertainty
Appraisal