Category:Environmental health
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Pages about human health impacts caused by environmental chemicals, microbes, or physical agents.
Pages in category "Environmental health"
The following 200 pages are in this category, out of 222 total.
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C
- Cadmium
- Calculating attributable cancer incidence: waste
- Calculating DALYs: UVR and skin cancer
- Calculating DALYs: waste
- CalTOX
- Case study on ultrafine particles
- Changing ambient UVR and future future skin cancer
- Changing ambient UVR and future melanoma skin cancer
- Changing ambient UVR and future non-melanoma skin cancer
- Characterising source intensity
- Chemical mass balance models
- CHIMERE
- Combining epidemiology and toxicology in environmental health risk assessment
- Community Road Accident Database
- Computation of health impact indicators for agriculture
- Concepts for integrated monitoring
- Conceptual framework for integrated monitoring
- CONTAM
- Contaminant release in IEHIAS
- Contaminant sources in IEHIAS
- Context of IEHIAS
- Crop allocation
D
- Dealing with complex exposures
- Decision Support Tools metadatabase
- Defining IEHIAS stakeholders: example from agriculture
- Defining IEHIAS stakeholders: example from waste
- Defining IEHIAS stakeholders: example from water
- Delphi surveys
- Deriving and applying monetary values
- Descriptive scenarios
- Design in the IEHIAS
- Development needs for integrated monitoring
- Dioxins
- Disinfection by-products
- Dispersion modelling: agriculture
- Dispersion modelling: transport
- Dispersion modelling: waste
- DynamiCROP
E
- EcoSenseWeb
- EMF path loss models
- Emission factors for agriculture
- Energy crop scenarios
- Engaging IEHIAS stakeholders: example from water
- Environmental justice
- Estimating baseline skin cancer incidence
- Estimating exposure-response functions
- Estimating exposure-response functions: agriculture
- Estimating exposure-response functions: transport
- Estimating health effects for UVR and skin cancer
- Estimating health effects: waste
- Estimating traffic volumes for IEHIAS
- EU age- and gender- stratified population data
- EU age/sex stratified population: 100 metre grid
- EU age/sex stratified population: LAU2
- EU population totals: 100 metre grid
- EU population: Eurostat
- European Detailed Mortality Database
- European soil database
- Example of a common case study
- Execution in the IEHIAS
- Expert elicitation methodology
- Expert estimation in screening
- ExpoPlatform: Web based platform for exposure assessment
- Exposure modelling in IEHIAS
- Exposure, intake and uptake in IEHIAS
- Exposure-response function dataset IEHIAS
- Exposure-response functions protocol
- Exposure-to-intake modelling in IEHIAS
- Extrapolation
F
G
H
- Health effects in IEHIAS
- Health effects of the IEHIAS
- Health effects of waste management
- Health impact modelling for UVR and melanoma skin cancer
- Health impact modelling for UVR and non-melanoma skin cancer
- Health impacts of agricultural land use change
- Health impacts of regulative policies on use of DBP in consumer products
- Health statistics for the EU
- Human biomonitoring in IEHIAS
- Human PBPK model for dioxin
I
- IEHIAS
- Talk:IEHIAS
- Template:IEHIAS
- IEHIAS building indicators: example from agriculture
- IEHIAS causal chain
- IEHIAS Climate/meteorology
- IEHIAS Indicator selection
- IEHIAS mask area weighting: example for pesticides
- IEHIAS models: example from agriculture
- IEHIAS models:example of transport
- IEHIAS question: example from agriculture
- IEHIAS question: example from waste
- IEHIAS question: example from water
- IEHIAS scenarios: example for UVR and skin cancer
- IEHIAS scenarios: example from agriculture
- IEHIAS scenarios: example from transport
- IEHIAS scenarios: example from waste
- IEHIAS spatial visualisation toolbox
- IEHIAS stochastic allocation: example for pesticides
- IEHIAS tools for building system diagrams
- IEHIAS tools for scenario construction
- Impact analysis in IEHIAS
- Impact analysis: transport
- Impact calculation tool
- Impact functions for IEHIAS
- INDEX: indoor exposure model
- IndusChemFate
- Information needs in assessment design
- Intake fraction
- Intake fraction: exposure to pesticides in food
- Intake fractions of cadmium emissions from a large zinc smelter
- Integrated assessment of heavy metal releases in Europe
- Integrated E & H frameworks
- Integrated E & H monitoring programs
- Integrated environmental and health impact assessment of waste management
- Internal dose estimation in IEHIAS
- International Road Traffic and Accident Database
- Issue framing in the IEHIAS
L
M
- Main crop scenarios in IEHIAS
- Matching exposure and health metrics
- Methods for data integration
- Mind-mapping tools
- Modelling air pollution in Great Britain
- Modelling contaminant releases: agriculture
- Modelling contaminant releases: waste
- Modelling road transport in Helsinki and Hague
- Modelling the causal chain in IEHIAS
- Modelling untraviolet radiation exposures in Europe
- Modelling waste transport networks
- Monetary values: Common Case Study
- Monetisation methods
- Morbidity in IEHIAS
- Mortality in IEHIAS
- Multimedia models in IEHIAS
P
- PANGEA
- Parabens
- PBPK model for cadmium
- PBPK model in assessing population exposure to cadmium
- Photovoltaic Geographic Information System
- Phthalates
- Piloting in assessment design
- Piloting: Defining and describing uncertainties
- Piloting: Finding and evaluating data
- Piloting: Selecting and evaluating models
- Polychlorinated biphenyls
- Polycylic aromatic hydrocarbons
- Population map: dasymetric disaggregation
- Positive matrix factorisation
- Predictive scenarios
- Prescriptive scenarios
- Principal components analysis
- Probabilistic scenarios
- Protocol development in assessment design
- Protocol on expert elicitation
S
- Scoping the assessment
- Screening in assessment design
- Selecting indicators in IEHIAS
- Sensitivity analysis: UVR and skin cancer
- SIENA data
- SIENA data description
- Soil degredation and vulnerability map
- Solar Radiation Database
- Source attribution in IEHIAS
- Spatial disaggregation
- Spatial interpolation and extrapolation methods
- Spatial population modelling example
- Spatial resolution
- SRES-population scenarios on city level