Quantifying the impact of air pollution on Covid-19 hospitalisation and death rates in Scotland
Lee, Duncan and Robertson, Chris and McRae, Carole and Baker, Jessica (2022) Quantifying the impact of air pollution on Covid-19 hospitalisation and death rates in Scotland. Spatial and Spatio-temporal Epidemiology, 42. 100523. ISSN 1877-5853 (https://doi.org/10.1016/j.sste.2022.100523)
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Abstract
Better understanding the risk factors that exacerbate Covid-19 symptoms and lead to worse health outcomes is vitally important in the public health fight against the virus. One such risk factor that is currently under investigation is air pollution concentrations, with some studies finding statistically significant effects while other studies have found no consistent associations. The aim of this paper is to add to this global evidence base on the potential association between air pollution concentrations and Covid-19 hospitalisations and deaths, by presenting the first study on this topic at the small-area scale in Scotland, United Kingdom. Our study is one of the most comprehensive to date in terms of its temporal coverage, as it includes all hospitalisations and deaths in Scotland between 1 s t March 2020 and 31 s t July 2021. We quantify the effects of air pollution on Covid-19 outcomes using a small-area spatial ecological study design, with inference using Bayesian hierarchical models that allow for the residual spatial correlation present in the data. A key advantage of our study is its extensive sensitivity analyses, which examines the robustness of the results to our modelling assumptions. We find clear evidence that PM2.5 concentrations are associated with hospital admissions, with a 1 μ gm − 3 increase in concentrations being associated with between a 7.4% and a 9.3% increase in hospitalisations. In addition, we find some evidence that PM2.5 concentrations are associated with deaths, with a 1 μ gm − 3 increase in concentrations being associated with between a 2.9% and a 10.3% increase in deaths.
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Item type: Article ID code: 81093 Dates: DateEvent1 August 2022Published8 June 2022Published Online26 May 2022Accepted31 October 2021SubmittedSubjects: Science > Mathematics > Probabilities. Mathematical statistics
Medicine > Public aspects of medicine > Public health. Hygiene. Preventive MedicineDepartment: Faculty of Science > Mathematics and Statistics Depositing user: Pure Administrator Date deposited: 14 Jun 2022 11:12 Last modified: 15 Aug 2024 01:08 URI: https://strathprints.strath.ac.uk/id/eprint/81093