Air pollutants are known to have adverse effects on human health.

We use dispersion models and land use regression models to predict exposures to air pollutants for several EU and UK projects, varying in spatial and temporal scale. We also undertake bespoke air pollution measurement campaigns to calibrate and evaluate our models. Several of these studies use personal air pollution monitors to investigate the differences in exposures between micro-environments (e.g. indoors and outdoors; journey-times).



ELAPSE (Effects of Low-Level Air Pollution: A Study in Europe) is a Europe-wide collaboration in a research project Mortality and morbidity effects of long-term exposure to low-level PM2.5, Black Carbon, NO2 and O3: an analysis of European cohorts. The project is funded by Health Effects Institute under the RFA 14-3: Assessing Health Effects of Long-term Exposure to Low Levels of Ambient Air Pollution and runs from mid-2016 to mid-2019.

STEAM (Comparative evaluation of Spatio-Temporal Assessment Methods for estimating the health effects of air pollution) is a Medical Research Council funded project where we compare land use regression and dispersion models.

ERICA (Enhancing Environmental data Resources in Cohort studies: ALSPAC exemplar) aims to establish generalisable mechanisms for linking natural environment records into longitudinal population databanks established by cohort studies. As an exemplar we will be adding early life nitrogen dioxide (NO2) exposure into ALSPAC to evaluating the association of in utero and early life NO2 exposure and later health outcomes.

Developing a methodology to harmonise noise and air pollution exposures for three biobanks in Europe.

Developing new land use regression models for ultra-fine particles (UFP) and oxidative potential of particulate air pollution, and undertaking personal monitoring of UFP and PM2.5 of individuals in five cohorts in the EU.

Modelling early life exposure to particulates to investigate the effects on respiratory health through childhood and adolescence (with Bristol University).