Structural framework for integrated monitoring

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

The detail information for this framework is given in D64.1-Revised integrated monitoring report. It is available on INTARESE website.

In order to integrate data from multiple monitoring programs, we have developed a structural framework for it, namely Integrated Environment and Health Data (IEHD) framework (Figure 1).

Concepts and principles

It is well known that integrated usage of information from integrated environment and health monitoring programs can bridge the gaps between environment and human health. According, we propose an integrated environment and health data (IEHD) framework to demonstrate the steps on integrating usage of data from integrated environment and health monitoring programs. It can facilitate achieving the goals of greater efficiency and quality and of better-informed decisions, in ways that support specific information management needs.

Step by step plan

Step 0: define goal

In this step, the goal of data integration should be defined clearly from the start. It can help to make integrated plan in the next step.

Step 1: make integrated plan

In step 1, making an integrated plan can help to identify databases that are needed to collect in the next step and the source of data.

Step 2: collect data

In step 2, the data collection takes place. As mentioned above, data collection is determined by the research goal.

Step 3: analyze data

Before the data integration, it is necessary to analyze data for each individual database, including define data characteristics, format and process data, assess data usefulness and quality, at end analyze data.

Step 4: analyze integrated data

This step is one of the most important steps. It is a process to integrate multiple databases, data cubes, files, or notes. The data sets can be combined in different ways, based upon the issue under consideration

Step 5: report results

This step creates prototype output and generates reports. In general, tabulation, results from statistical analysis and map making are generally needed.

Step 6: recommend new actions

In this step, information for action you need to drive prototype results, to get stakeholder input, and to create mechanisms for access and dissemination, therefore the visualization tools (maps, interactive computer mapping interface) are necessary.

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Figure 1 Structural components and steps of the IEHD and their interconnection.

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

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