Dr Ben Barratt is a Reader in Environmental Exposures & Public Health and Deputy Director of the Environmental Research Group.
The early part of his career focused on the establishment of co-ordinated air quality monitoring networks, including the London Air Quality Network, which became the largest urban network in Europe. He has since utilised this foundation in measurement techniques and data handling to develop analysis methods to characterise sources, trends and behaviour in urban air pollution. He specialised in the evaluation of technological or policy driven initiatives to improve air quality, including the London Congestion Charging Scheme and Low Emission Zone, the outputs of which have been used as evidence for future national and international schemes.
The aim of more recent research is to improve the resolution of environmental exposure assessments for panel, cohort and large-scale population studies. This is linked to the development of tools to allow the public to make informed choices to reduce their own exposure to indoor and outdoor air pollution. His research is often in collaboration with international multidisciplinary teams ranging from toxicology and population health through to behavioural science and policy development.
He is head of the Exposure Science Team, currently comprising five research associates, two research assistants and up to six PhD students. The overarching aim of his team’s work is to better characterise individual and population-level exposure to environmental stress, how this relates to the health of susceptible population subgroups, and methods of public health improvement. Much of the focus of the teams work is on global air quality, primarily in China and Sub-Saharan Africa.
Kenis A, Barratt B, 2021, The role of the media in staging air pollution: The controversy on extreme air pollution along Oxford Street and other debates on poor air quality in London, Environment and Planning C-politics and Space, ISSN:2399-6544
et al., 2021, Evidence for the presence of air pollution nanoparticles in placental tissue cells, Science of the Total Environment, Vol:751, ISSN:0048-9697
et al., 2020, Prostaglandin E2 and phagocytosis of inhaled particulate matter by airway macrophages in cystic fibrosis., J Cyst Fibros
et al., 2020, Prediction of PM2.5 concentrations at the locations of monitoring sites measuring PM10 and NOx, using generalized additive models and machine learning methods: A case study in London, Atmospheric Environment, Vol:240, ISSN:1352-2310
et al., 2020, Difference in ambient-personal exposure to PM2.5 and its health impact in local residents in urban and peri-urban Beijing, China: Results of the AIRLESS project, Faraday Discussions, ISSN:1359-6640