The effects of exposure to NO2, PM2.5 and PM10 on health service attendances with respiratory illnesses: A time-series analysis

Mebrahtu, T.F. orcid.org/0000-0003-4821-2304, Santorelli, G., Yang, T.C. et al. (3 more authors) (Cover date: 15 September 2023) The effects of exposure to NO2, PM2.5 and PM10 on health service attendances with respiratory illnesses: A time-series analysis. Environmental Pollution, 333. 122123. ISSN 0269-7491

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Copyright, Publisher and Additional Information: © 2023 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (CC-BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Air pollution; Respiratory illness; Lagged effect; Quasi-experimental; Time-series
Dates:
  • Accepted: 27 June 2023
  • Published (online): 28 June 2023
  • Published: 29 June 2023
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Nov 2023 15:48
Last Modified: 14 Nov 2023 15:48
Status: Published
Publisher: Elsevier BV
Identification Number: https://doi.org/10.1016/j.envpol.2023.122123
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