A Data Integration Approach to Estimating Personal Exposures to Air Pollution

Matthew L. Thomas*, Gavin Shaddick, David Topping, Karyn Morrissey, Thomas J. Brannan, Mike Diessner, Ruth C.E. Bowyer, Stefan Siegert, Hugh Coe, James Evans, Fernando Benitez-Paez, James V. Zidek

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


Globally, air pollution is the largest environmental risk to public health. In order to inform policy and target mitigation strategies there is a need to increase our understanding of the (personal) exposures experienced by different population groups. The Data Integration Model for Exposures (DIMEX) integrates data on daily travel patterns and activities with measurements and models of air pollution using agent-based modelling to simulate the daily exposures of different population groups. Here we present the results of a case study using DIMEX to model personal exposures to PM2.5 in Greater Manchester, UK, and demonstrate its ability to explore differences in time activities and exposures for different population groups. DIMEX can also be used to assess the effects of reductions in ambient air pollution and when run with concentrations reduced to 5 μg/m3 (new WHO guidelines) lead to an estimated (mean) reduction in personal exposures between 2.7 and 3.1 μg/m3 across population (gender-age) groups.

Original languageEnglish
Title of host publicationProceedings of 2022 IEEE International Conference on Big Data (Big Data)
Number of pages9
Publication date2022
Publication statusPublished - 2022
Event2022 IEEE International Conference on Big Data, Big Data - Osaka, Japan
Duration: 17 Dec 202220 Dec 2022


Conference2022 IEEE International Conference on Big Data, Big Data
SponsorAnkura Consulting Group, LLC, Hitachi Zosen Corporation, KPMG Consulting Co., Ltd., NTT Data Intellilink Corporation, Think in Data Initiative, Association Inc


  • Air pollution
  • Data Integration
  • Health effects
  • Micro-simulation


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