Category:Environmental health
From Opasnet
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
