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ENVIRONMENT & HEALTH INDICATORS FOR EUROPE: A PILOT STUDY OF INDICATORS OF AIR POLLUTION & HEALTH D Dalbokova, 1 M Sadeh, 2 M Krzyzanowski, 1 P Wilkinson 2 for the Environment & Health Indicators Project Group 1 WHO European Centre for Environment & Health, Bonn 2 London School of Hygiene & Tropical Medicine
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BACKGROUND Pilot of selected countries of WHO-European region Data on air pollution & health impacts Policy focus Three purposes: - monitoring - evaluating - formulating
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OBJECTIVE To test the methods and systems for reporting indicators of air pollution and health and their usefulness to policy makers
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ANALYSES (1)trends over time in emissions, pollution levels and upstream determinants (2)between-population comparisons of exposures and health impacts (3)the potential for reducing air pollution health impacts from realistic policy interventions
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TRENDS & BETWEEN- POPULATION COMPARISONS
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TRENDS IN DIESEL CONSUMPTION BY COUNTRY
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TRENDS IN INDICATORS, CZECH REPUBLIC
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HEALTH IMPACT
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YEARS OF LIFE LOST CALCULATION Quantitative risk assessment methods AirQ 2.0.4 Country/population specific data: life tables ambient pollution (policy data) Exposure-response relationships from published literature Sensitivity analyses
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Czech republic Germany Hungary Israel Netherlands Spain Switzerland 0 20 40 60 80 YLL per 10^5 population 051015202530 PM2.5 (population weighted), µg.m-3 YLL/100,000 in starting year of simulation
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Czech republic Germany Hungary Israel Netherlands Spain Switzerland 0 2000 4000 6000 8000 YLL per 10^5 population 051015202530 PM2.5 (population weighted) / µg.m-3 YLL/100,000 in first 10 years
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Czech republic Germany Hungary Israel Netherlands Spain Switzerland.4.6.8 1 Loss of life expectancy 051015202530 PM2.5 (population weighted) / ug.m-3 Loss of life expectancy from age 30
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ASSESSING POLICIES Realistic potential for change from policy interventions: (i)assume specified reductions in ambient pollutant concentrations (ii)estimate the effects of particular types of policy intervention on exposures to outdoor pollution for example from restriction of urban vehicle traffic.
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Emissions Exposures (ambient concentrations) Health impacts Effect of policy intervention (measured/modelled) Decision process Costs Preferences
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CONCLUSIONS Standardized data collection & analysis Comparisons useful, even with uncertainties Greatest utility if results linked to policy questions – modelling Ideal for the future further data on upstream determinants more countries addition of evidence on effect of interventions decision support framework or model
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