1. Air pollution and WEather-related health
impacts: 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. AIM
“To examine the interaction of pollutant mixtures and
weather on health and health inequalities, now and in the
context of future air quality and climate policies, through
epidemiological studies based on the development, testing
and application of multi-pollutant data that are
disaggregated in time and space.”

3. OBJECTIVES
(1) Model the atmosphere
(2) Test
(3) Model indoor environment
(4) Do epidemiology
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(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. WP1. (Edin) WP6. (Edin)
5 x 5 km of pollutants Quantify se variations
and weather, 2000-10 and policy impacts
WP2. (Edin) WP7. (LSHTM)
Performance testing Develop, apply and
of 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. 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. 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...
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• Health impacts studies

7. WP3 Modelling indoor environment exposure
WP3 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
NOx
1. Air pollution and temperature
PM2.5
meteorology
• measurements
• spatio-temporal models
2. Models of building performance
(temperature, indoor pollutants): occupant
Effect modification exposure
3. Time-space epidemiological models
4. Decision analysis • mortality
5. Health impact models • morbidity

8. WP3 Modelling indoor environment exposure
Impact of occupant behaviour on overheating
Journal paper: Mavrogianni A., Davies M., Taylor J., Oikonomou E., Biddulph P., Wilkinson P., Das P. and
Jones B., 2013. The impact of occupancy patterns, occupant-controlled ventilation and shading on indoor
overheating risk in domestic environments. To be submitted.

9. WP3 Modelling indoor environment exposure
WP3 output
A tool able to map the
relative contribution of the
building fabric on the
modification of exposure to
outdoor air temperature
and pollution.

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. MCDA Framework
Scores
Comparison of
performance of options
Weights
Relative importance of the
criteria (stakeholders)
Evidence
Models or expert
opinion

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