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| |[http://www.integrated-assessment.eu/sitemap Page in IEHIAS] || Page in Opasnet || Status
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| |Toolkit
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| |Data
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| |Context
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| |Geographic
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| |Administrative
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| |Topography
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| |Population / Demography
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| |Population numbers/distribution
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| |EU population: Eurostat
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| |EU age/sex stratified population: 100 metre grid
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| |Administrative boundaries - EuroBoundaryMap
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| |EU age/sex stratified population: LAU2
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| |EU population totals: 100 metre grid
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| |EU age- and gender- stratified population data: EMEP grid (2010, 2020, 2030 and 2050)
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| |Behaviour / Lifestyle
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| |Socio-economic status
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| |Environmental
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| |General environmental data sources
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| |ExpoPlatform: Web based platform for exposure assessment
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| |Agents
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| |Chemicals
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| |Heavy metals
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| |POPS
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| |Radiation
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| |Wastes
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| |Electromagnetic radiation
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| |Noise
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| |Sources
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| |Infrastructure
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| |Activities
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| |Land cover / use
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| |Releases
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| |Emission factors
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| |Emission factors for agriculture
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| |Emission scenarios
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| |Emissions
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| |Environmental media / processes
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| |Air pollution
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| |Climate/meteorology
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| |Indoor environments
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| |Soil
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| |Water quality
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| |Exposure / Dose
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| |Exposure
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| |Intake / dose
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| |Biomarkers
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| |ExpoPlatform: Intake fractions
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| |Effects and impacts
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| |Exposure-response relationships
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| |Exposure / Dose / Concentration response functions
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| |Toxicology
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| |Health effects
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| |Morbidity
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| |Mortality
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| |European Detailed Mortality Database
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| |Impacts
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| |Monetary weights and values
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| |Severity weights
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| |Examples and case studies
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| |Examples of assessment methods
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| |Issue-framing
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| |Defining the question: an example from agriculture
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| |Defining the question: an example from waste
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| |Defining the question: an example from water
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| |Stakeholder consultation and engagement
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| |Defining the stakeholders: an example from agriculture
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| |Defining the stakeholders: an example from waste
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| |Defining the stakeholders: an example from water
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| |Engaging stakeholders: an example from water
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| |Scenarios
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| |Creating scenarios: an example from agriculture
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| |Main crop scenarios
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| |The impacts of the CAP
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| |Crop allocation
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| |Energy crop scenarios
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| |Creating scenarios: an example from transport
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| |Creating scenarios: an example from waste
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| |Downscaling IPCC SRES-population scenarios from OECD- to the city-level: London, Rome, Helsinki
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| |Creating scenarios: an example for UVR and skin cancer
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| |Creating scenarios: an example from water
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| |Scoping
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| |Building conceptual models: an example from agriculture
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| |A mind-map
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| |A systems diagram
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| |Customising the causal chain: an example from agriculture
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| |Building a conceptual model: the example of transport
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| |Scoping the assessment: ultraviolet radiation (UVR) and future skin cancer
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| |Indicator selection
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| |Building indicators: an example from agriculture
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| |Computation of health impact indicators for agriculture
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| |Human biomonitoring
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| |Case study lead in Europe
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| |Exploring the full-chain approach for PAHs using 2 case studies in Flanders and the Czech Republic
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| |The Benchmark Dose (BMD) approach for health effects of PCB exposure
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| |Case study PCBs in Slovak Republic
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| |Population modelling
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| |Spatial population modelling: an example using dasymetric disaggregation
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| |Population map: dasymetric disaggregation
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| |Source characterisation
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| |Characterising source intensity: an example from agriculture
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| |Modelling road transport: examples from the Hague and Helsinki
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| |Network modelling: modelling waste transport
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| |Route modelling
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| |Estimating traffic (truck) volumes
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| |Mask area weighting: an example for pesticides
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| |Pesticide maps: mask area weighting
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| |Stochastic allocation: an example for pesticides
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| |Pesticide maps: stochastic allocation
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| |Emission modelling
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| |Modelling contaminant release: an example from agriculture
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| |Modelling contaminant releases: an example from waste
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| |Environmental transport and transformation
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| |Dispersion modelling: an example from agriculture
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| |Dispersion modelling: an example from waste
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| |Dispersion modelling; an example from transport
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| |Focal sum modelling: an example for agriculture
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| Land use regression modelling: air pollution in Great Britain
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| Modelling ultraviolet radiation exposures: a European case study
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| Using a Kalman filter to improve a real time air pollution model
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| Exposure modelling
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| Intake and dose
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| Intake fraction: exposure to pesticides in food
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| Intake fractions of cadmium emissions from a large zinc smelter
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| Using a PBPK model to assess population exposure to cadmium
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| Deriving exposure-response functions
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| Combining epidemiology and toxicology for the purpose of deriving ERFs: TCDD-induced dental aberrations
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| Expert elicitation: case study on ultrafine particles
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| Estimating-exposure response functions: an example from transport
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| Estimating exposure-response functions: pesticides, PM and endotoxins from agriculture
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| Health effects
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| Estimating baseline skin cancer incidence for London, Helsinki and Rome
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| Estimating health effects: UVR and skin cancer
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| Health impact modelling: ultraviolet radiation and non-melanoma skin cancer
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| Health impact modelling: ultraviolet radiation and melanoma skin cancer
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| Calculating attributable cancer incidence: an example from waste
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| Estimating health effects: an example from waste
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| Impact analysis
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| Calculating DALYs: an example from waste
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| DALY calculations: UVR and skin cancer
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| Impact analysis: an example from transport
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| Uncertainty analysis
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| Qualitative uncertainty assessment: a worked example
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| Uncertainty in the agriculture case study
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| Sensitivity analysis: ultraviolet radiation (UVR) and skin cancer
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| Uncertainty analysis: an example from waste
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| Examples of integrated assessments
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| Changing ambient UVR and future melanoma and non-melanoma skin cancer in London, Rome and Helsinki
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| Changing ambient UVR and future skin cancer in London, Rome and Helsinki: melanoma skin cancer (CMM)
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| Changing ambient UVR and future skin cancer in London, Rome and Helsinki: non-melanoma skin cancer (BCC and SCC)
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| Health effects of waste management
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| Integrated assessment of heavy metal releases in Europe
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| Models and methods
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| Issue framing tools
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| Indicator selection: a protocol
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| Mind-mapping tools
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| Tools for building system diagrams
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| Collaborative assessment
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| Protocol on stakeholder involvement
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| Scenario modelling
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| Tools for scenario construction
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| Screening tools
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| Spatial analysis and visualisation
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| Focal sum modelling
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| Land use regression
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| Spatial visualisation toolbox
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| Urban simulator - SIENA
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| SIENA - data
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| SIENA - data description
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| Population modelling
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| Source apportionment models
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| Chemical mass balance models
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| Positive matrix factorisation
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| Principal components analysis
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| Emission models
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| Air pollution models
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| ADMS-Urban
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| CAR-International
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| CHIMERE
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| EcoSenseWeb
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| Hydrological and water quality models
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| List of hydrological and water quality models
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| Noise models
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| Electro-magnetic radiation models
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| EMF path loss models
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| Geomorf - Geographical Model of Radio-Frequency Power Density
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| UV radiation models
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| Ultraviolet radiation models and online simulation tools
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| Micro-environmental models
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| CONTAM
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| INDEX: Indoor Exposure Model
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| RISK IAQ model
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| Multi-media models
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| CalTOX
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| PANGEA
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| dynamiCROP
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| Exposure, intake and dose models
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| IndusChemFate - a generic PBPK model
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| PBPK model for cadmium
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| Physiologically based toxicokinetic (PBTK) model for dioxin
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| Exposure-response function methodology
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| Exposure-response functions protocol
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| Exposure-response functions: protocol and guidelines
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| Impact analysis methods and tools
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| Impact calculation tool
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| Uncertainty analysis methods and tools
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| Aguila
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| Protocol on expert elicitation
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| Value of information
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| Generic assessment tools
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| Decision Support Tools metadatabase
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| Monitoring methods
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| Framework for Integrated Monitoring
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| Overview of existing integrated E & H monitoring programs
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| Overview of existing integrated E & H frameworks
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| Concepts For Integrated monitoring
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| Conceptual framework for integrated monitoring
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| Structural framework for integrated monitoring
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| Methods for data integration
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| Development needs for integrated monitoring
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| Case study PAHs in Czech Republic
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| Human biomonitoring
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| Listings
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| Case study summary reports
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| Health impacts of agricultural land use change in Greece and Great Britain
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| Health impacts of regulative policies on use of di-n-butylphthalate (DBP) in consumer products
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| Models and tools
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| Worked examples of assessment techniques
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| Worked examples of complete assessments
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|
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| Guidance System
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| Guidance System
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| The concept
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| The need for IEHIA
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| IEHIA in relation to other assessment methodologies
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| Hazards and benefits
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| Steps in IEHIA
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| Issue framing
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| Challenges in issue framing
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| Defining the question
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| Who defines the question?
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| What types of questions can be assessed?
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| Consulting with stakeholders
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| Types of stakeholder
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| Engaging stakeholders
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| Methods for stakeholder engagement
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| Open assessment
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| Formulating scenarios
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| The role of scenarios
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| Scenarios and the causal chain
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| Types of scenario
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| Prescriptive scenarios
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| Descriptive scenarios
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| Predictive scenarios
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| Probabilistic scenarios
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| Creating scenarios for IEHIA
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| European policy scenarios
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| Scoping the assessment
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| Building a conceptual model
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| Setting boundaries
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| Guidelines on boundary setting
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| Mind-maps
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| System diagrams
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| The causal chain
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| Expanding the causal chain
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| Customising the causal chain
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| Other conceptual frameworks
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| The DPSIR framework
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| The DPSEEA framework
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| The MEME framework
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| Selecting indicators
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| Types of indicator
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| Position in the causal chain
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| DALYs and QALYs
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| Monetary costs
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| Structure
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| Perspective
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| Building good indicators
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| Design
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| Key issues in design
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| Learning from examples
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| Accuracy and uncertainty
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| Dealing with complex exposures
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| Dealing with complex exposures: an example for water
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| Matching exposure and health metrics
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| Information needs
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| Vulnerable and susceptible groups
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| Socio-economic status
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| Value systems
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| Geographic variation
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| Geographic location and extent
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| Spatial resolution
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| Effects of spatial resolution: worked example
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| Zone design
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| Timeframe
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| Ethical issues: environmental justice
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| Screening
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| Expert estimation
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| Expert elicitation methodology
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| Delphi surveys
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| Extrapolation
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| Transferring results from other studies
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| Temporal (trend) extrapolation methods
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| Spatial interpolation and extrapolation methods
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| Triangulation
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| Rapid modelling
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| Proxies
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| Proxies: the example of traffic-related air pollution
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| Analogues
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| Developing simple models
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| Intake fractions
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| Piloting
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| Finding and evaluating data
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| Environmental and exposure data
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| Representivity of environmental monitoring networks
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| Exposure-response functions
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| Human biomonitoring data
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| Case studies in human biomonitoring
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| Interpreting human biomonitoring data
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| Population, demographic and socio-economic data
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| Health data
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| Selecting and evaluating models
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| Model linkage
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| Defining and describing uncertainties
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| Framework for uncertainty classification
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| Location of uncertainty
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| Protocol development
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| Examples of assessment protocols
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| Execution
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| Managing the assessment
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| Collaborating on an assessment
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| Liaising with stakeholders
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| Participating in assessment
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| Documentation and auditing
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| Data management
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| Managing uncertainties
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| Assessment performance
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| Modelling the causal chain
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| Contaminant sources
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| Characterising sources
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| Data sources
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| Source distribution
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| Source intensity
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| Modelling source activity
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| Spatial disaggregation
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| Contaminant release
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| Release pathways and processes
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| Release inventories
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| Modelling contaminant releases
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| Development of emission scenarios
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| Development of emission mitigation scenarios
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| Emission factors
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| Transport and transformation in environmental media
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| Air pollution
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| Atmospheric dispersion models
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| Statistical air pollution models
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| Indoor air pollution models
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| Water quality
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| Non-ionising radiation
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| Noise
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| GIS-based models
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| Source attribution
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| Multimedia models
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| Exposure, intake and uptake
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| Exposure modelling
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| Population modelling
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| Exposure factors
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| Intake fractions
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| Consumer products exposure models
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| Time micro-environment activity modelling
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| Exposure-to-intake modelling
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| Internal dose estimation
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| PBPK modelling
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| Health effects
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| Estimating exposure-response functions
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| Estimating health effects
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| Impact analysis
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| Key issues in impact analysis
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| Methods and measures for impact analysis
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| Health-based impact measures
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| Monetisation methods
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| Deriving and applying monetary values
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| Deriving non-market values
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| Discounting
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| Value transfers
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| Treatment of uncertainty
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| Uncertainty analysis
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| Framework for uncertainty classification
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| Methods for uncertainty analysis
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| Value of information
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| Appraisal
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| Reporting assessment results
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| Myths in risk communication
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| Designing effective assessment reports
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| Indicator scorecards
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| Mapping
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| Effective map design
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| Comparing and ranking outcomes
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| Cost-effectiveness analysis
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| Cost-benefit analysis
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| Multi-criteria assessment
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| Help
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|
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| Help
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| About the IEHIAS
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| Structure
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| User groups
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| Users and permissions
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| Editing your user account
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| Contributing to IEHIAS
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| Content types
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| Where to put the contributed pages?
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| Glossary
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| Tutorials
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| Tutorial: Text editor
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| Tutorial: Using the "Read more" Style
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| Tutorial: How to insert hyperlinks
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| Tutorial: Creating equations
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