Air pollution and WEather-related healthimpacts: methodological Study Of Multi-           pollutant Exposures             ...
AIM“To examine the interaction of pollutant mixtures andweather on health and health inequalities, now and in thecontext o...
OBJECTIVES(1) Model the atmosphere(2) Test(3) Model indoor environment(4) Do epidemiology---------------------------------...
WP1. (Edin)                                WP6. (Edin)5 x 5 km of pollutants                     Quantify se variationsand...
Scientific contributions•   Pollutant mixes + weather•   Pollutant sources•   Indoor environment as modifier•   Analytical...
Epidemiology• Simulation and other methods for assessing use of  modelled vs measured air pollution data• Indoor environme...
WP3 Modelling indoor environment exposureWP3 aims• To examine the contribution of the indoor  environment as a modifier of...
WP3 Modelling indoor environment exposureImpact of occupant behaviour on overheatingJournal paper: Mavrogianni A., Davies ...
WP3 Modelling indoor environment exposureWP3 outputA tool able to map therelative contribution of thebuilding fabric on th...
WP6 Multi-Criteria Decision Analysis (MCDA)• A quantitative method to support policy makers compare  policy options across...
MCDA Framework                 Scores                 Comparison of                 performance of options                ...
Plan for next 6-12 months• Initial epidemiological analyses• Further development and application of models of the  indoor ...
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  1. 1. Air pollution and WEather-related healthimpacts: methodological Study Of Multi- pollutant Exposures (AWESOME) London School of Hygiene & Tropical Medicine St George’s, University of London University College London University of Edinburgh University of Strathclyde
  2. 2. AIM“To examine the interaction of pollutant mixtures andweather on health and health inequalities, now and in thecontext of future air quality and climate policies, throughepidemiological studies based on the development, testingand application of multi-pollutant data that aredisaggregated in time and space.”
  3. 3. OBJECTIVES(1) Model the atmosphere(2) Test(3) Model indoor environment(4) Do epidemiology-----------------------------------------------------------------------------(5) Examine air quality and climate policies(6) Examine socio-economic impacts, environmental justice(7) Develop and apply MCDA framework(8) Study the process of evidence generation and use
  4. 4. WP1. (Edin) WP6. (Edin)5 x 5 km of pollutants Quantify se variationsand weather, 2000-10 and policy impactsWP2. (Edin) WP7. (LSHTM)Performance testing Develop, apply andof grid data test MCDA WP4. (LSHTM/SG) Epidemiological analysis.WP3. (UCL)Combine with models WP5. (Edin)of indoor environ. Impact of AQ and climate policies PhD. (LSHTM) Knowledge generation and use
  5. 5. Scientific contributions• Pollutant mixes + weather• Pollutant sources• Indoor environment as modifier• Analytical methods – incl. use of AP model data in epi research• Socio-economic impacts• Use of MCDA• Tests of policies & scenarios• Knowledge generation and use
  6. 6. Epidemiology• Simulation and other methods for assessing use of modelled vs measured air pollution data• Indoor environment (as effect modifier): link to housing models – then link to geographical data• Pollutant sources and mixtures...--------------------------------------------------------------------------• Health impacts studies
  7. 7. WP3 Modelling indoor environment exposureWP3 aims• To examine the contribution of the indoor environment as a modifier of exposure to outdoor pollutants and weather;• in order to provide an integrated assessment of the associated health risks. building fabric O3 NOx1. Air pollution and temperature PM2.5 meteorology • measurements • spatio-temporal models2. Models of building performance (temperature, indoor pollutants): occupant Effect modification exposure3. Time-space epidemiological models4. Decision analysis • mortality5. Health impact models • morbidity
  8. 8. WP3 Modelling indoor environment exposureImpact of occupant behaviour on overheatingJournal paper: Mavrogianni A., Davies M., Taylor J., Oikonomou E., Biddulph P., Wilkinson P., Das P. andJones B., 2013. The impact of occupancy patterns, occupant-controlled ventilation and shading on indooroverheating risk in domestic environments. To be submitted.
  9. 9. WP3 Modelling indoor environment exposureWP3 outputA tool able to map therelative contribution of thebuilding fabric on themodification of exposure tooutdoor air temperatureand pollution.
  10. 10. WP6 Multi-Criteria Decision Analysis (MCDA)• A quantitative method to support policy makers compare policy options across a number of criteria under uncertainty• Integrates research evidence with the relative importance of the criteria to rank the policy options in terms of their overall performance across all criteria• It tests the sensitivity of the performance of the options to uncertainty in the evidence and differences in opinions on the relative importance of the criteria
  11. 11. MCDA Framework Scores Comparison of performance of options Weights Relative importance of the criteria (stakeholders) Evidence Models or expert opinion
  12. 12. Plan for next 6-12 months• Initial epidemiological analyses• Further development and application of models of the indoor environment• Stakeholder input relating to: -- policy priorities -- the development of the MCDA framework

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