Karin Larsson

Exposure, Disease and Risk.

Presentation of some case studies using geographical information systems (GIS)

Occupational and Environmental Medicin &

GIS Centreat

Lund University

Common aim for all cases

• Estimate human exposure to possibly harmful environmental factors.

• Investigate relationships between exposure and health effects.

• Improve risk assessment for health effects caused by environmental factors.

Methodology• Model the spatial and temporal variation of

possibly harmful environmental factors.

• Integrate these model results with population data to estimate exposure.

• Link exposure to data on health to evaluate these relationships.

• Employ different methods for sampling of environmental and health data.

• Employ different statistical methods for evaluating relationships and risk.

Case 1: Developing a methodology for risk assessment of exposure to air pollution.

Study area

Scania in Southern Sweden

Areal extent: appr. 10 000 km2

Population: appr. 1.1 milj

• Emission database is built for the region.

• Meteorological dispersion models are used to estimate concentration of air pollutants (particles and NO2) in time and space.

• GIS is used to link concentrations to the population’s residential coordinates, i.e. static population (step 1).

• GIS is used to link concentrations to the population’s location in time and space, i.e. dynamic population (step 2).

Dispersion model

Concentration NO2

Location of population on residential coordinate

Population and concentration

Exposure

Data requirement• NO2 and particles:

– Traffic information

– Industrial activities

– Energy production, heating

• Specific particle sources:– Emissions generated by wind

• agricultural land• ocean

– Traffic• whirls of dust around roads

caused by cars

– Diffuse industrial sources• industries• agriculture activities

• Meteorological parameters

Exposure differences inside and outside cities (>15 000 people)

Towns: 543 500

Countryside: 591 500

• Exposure estimates will be connected with records on ICD-10 diagnoses of airway diseases registered in indoor- and outdoor patient care.

• Exposure levels for symptomatic patients may be compared to other groups.

• Structured selection of cases and referents for case-referent studies is facilitated.

Case 2: Association between air pollution and self reported airway nuisance

Study area

Växjö town and municipality in South Sweden

Areal extent: town: appr. 28 km2

municipality: appr. 1 700 km2

Population: town: appr. 50 000municipality: appr. 74 000

• Meteorological dispersion models are used to estimate concentration of air pollutants (particles and NO2) in time and space.

• Intensive campain for detailed mesurements of air pollution is performed during 3 months.

• GIS is used to link concentrations to a static population (step 1).

• GIS is used to link concentrations to a dynamic population (step 2).

• Diaries and questionnaries are filled out by 120 randomly selected persons to report nuisance from airways during the campaign period.

• Statistical analyses for estimation of association between air pollution and nuisance.

Case 3: Development of a methodology for estimation of health effects associated with exposure to radon, NO2 and noise

Study area

Scania in Southern Sweden

Areal extent: appr. 10 000 km2

Population: appr. 1.1 milj

Estimate exposure by using GIS.

• Emission data inventory and collection: radon and noice.

• Use of dispersion models: air pollutants and noise.

• Use of maps and measurement data: ground emitted radon.

• Link concentrations to a static population (step 1).

• Link concentrations to a dynamic population (step 2).

Data requirement

• Noise:

– Traffic information

– Industrial activities

– Shooting ranges

– Motor sport facilities

• Radon:

– Ground radon inventories

– Ground radon measurements

– Indoor radon measurements• relevant building

characteristics

• Topography

• Ground conditions (soft/hard)

• Noise protection measures

Noise: 40 dBA from different transport sources

Estimated risk areas for ground radon occurance based on rocks and soils

Estimation of health effects

• Using risk data from literature (Step 1).

• Perform structured case-referent studies on diseases related to: noise – increased blood pressureradon – lung cancerparticles and nitrogen dioxide – airway diseases(Step 2).

• Evaluate trends of exposure and health effects by making calculations for different years.

• Use the methodology for estimating effects of different scenarios for planning purposes.

• Develop a methodology to be used by the County Council for monitoring and taking measures to reach environmental objectives concerning health.

”Case” 4: Rapid Inquiry Facility (RIF) in Scania

In who’s interest?

• Governmental agencies at all levels for planning, monitoring and follow up of health status and effects.

• Energy agencies.• Environmental protection agencies.• EU.• Research community. • Companies.