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Estimating the costs of air pollution to the National Health Service and social care: An assessment and forecast up to 2035
BACKGROUND: Air pollution damages health by promoting the onset of some non-communicable diseases (NCDs), putting additional strain on the National Health Service (NHS) and social care. This study quantifies the total health and related NHS and social care cost burden due to fine particulate matter...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039053/ https://www.ncbi.nlm.nih.gov/pubmed/29990358 http://dx.doi.org/10.1371/journal.pmed.1002602 |
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author | Pimpin, Laura Retat, Lise Fecht, Daniela de Preux, Laure Sassi, Franco Gulliver, John Belloni, Annalisa Ferguson, Brian Corbould, Emily Jaccard, Abbygail Webber, Laura |
author_facet | Pimpin, Laura Retat, Lise Fecht, Daniela de Preux, Laure Sassi, Franco Gulliver, John Belloni, Annalisa Ferguson, Brian Corbould, Emily Jaccard, Abbygail Webber, Laura |
author_sort | Pimpin, Laura |
collection | PubMed |
description | BACKGROUND: Air pollution damages health by promoting the onset of some non-communicable diseases (NCDs), putting additional strain on the National Health Service (NHS) and social care. This study quantifies the total health and related NHS and social care cost burden due to fine particulate matter (PM(2.5)) and nitrogen dioxide (NO(2)) in England. METHOD AND FINDINGS: Air pollutant concentration surfaces from land use regression models and cost data from hospital admissions data and a literature review were fed into a microsimulation model, that was run from 2015 to 2035. Different scenarios were modelled: (1) baseline ‘no change’ scenario; (2) individuals’ pollutant exposure is reduced to natural (non-anthropogenic) levels to compute the disease cases attributable to PM(2.5) and NO(2); (3) PM(2.5) and NO(2) concentrations reduced by 1 μg/m(3); and (4) NO(2) annual European Union limit values reached (40 μg/m(3)). For the 18 years after baseline, the total cumulative cost to the NHS and social care is estimated at £5.37 billion for PM(2.5) and NO(2) combined, rising to £18.57 billion when costs for diseases for which there is less robust evidence are included. These costs are due to the cumulative incidence of air-pollution-related NCDs, such as 348,878 coronary heart disease cases estimated to be attributable to PM(2.5) and 573,363 diabetes cases estimated to be attributable to NO(2) by 2035. Findings from modelling studies are limited by the conceptual model, assumptions, and the availability and quality of input data. CONCLUSIONS: Approximately 2.5 million cases of NCDs attributable to air pollution are predicted by 2035 if PM(2.5) and NO(2) stay at current levels, making air pollution an important public health priority. In future work, the modelling framework should be updated to include multi-pollutant exposure–response functions, as well as to disaggregate results by socioeconomic status. |
format | Online Article Text |
id | pubmed-6039053 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60390532018-07-19 Estimating the costs of air pollution to the National Health Service and social care: An assessment and forecast up to 2035 Pimpin, Laura Retat, Lise Fecht, Daniela de Preux, Laure Sassi, Franco Gulliver, John Belloni, Annalisa Ferguson, Brian Corbould, Emily Jaccard, Abbygail Webber, Laura PLoS Med Research Article BACKGROUND: Air pollution damages health by promoting the onset of some non-communicable diseases (NCDs), putting additional strain on the National Health Service (NHS) and social care. This study quantifies the total health and related NHS and social care cost burden due to fine particulate matter (PM(2.5)) and nitrogen dioxide (NO(2)) in England. METHOD AND FINDINGS: Air pollutant concentration surfaces from land use regression models and cost data from hospital admissions data and a literature review were fed into a microsimulation model, that was run from 2015 to 2035. Different scenarios were modelled: (1) baseline ‘no change’ scenario; (2) individuals’ pollutant exposure is reduced to natural (non-anthropogenic) levels to compute the disease cases attributable to PM(2.5) and NO(2); (3) PM(2.5) and NO(2) concentrations reduced by 1 μg/m(3); and (4) NO(2) annual European Union limit values reached (40 μg/m(3)). For the 18 years after baseline, the total cumulative cost to the NHS and social care is estimated at £5.37 billion for PM(2.5) and NO(2) combined, rising to £18.57 billion when costs for diseases for which there is less robust evidence are included. These costs are due to the cumulative incidence of air-pollution-related NCDs, such as 348,878 coronary heart disease cases estimated to be attributable to PM(2.5) and 573,363 diabetes cases estimated to be attributable to NO(2) by 2035. Findings from modelling studies are limited by the conceptual model, assumptions, and the availability and quality of input data. CONCLUSIONS: Approximately 2.5 million cases of NCDs attributable to air pollution are predicted by 2035 if PM(2.5) and NO(2) stay at current levels, making air pollution an important public health priority. In future work, the modelling framework should be updated to include multi-pollutant exposure–response functions, as well as to disaggregate results by socioeconomic status. Public Library of Science 2018-07-10 /pmc/articles/PMC6039053/ /pubmed/29990358 http://dx.doi.org/10.1371/journal.pmed.1002602 Text en © 2018 Pimpin et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Pimpin, Laura Retat, Lise Fecht, Daniela de Preux, Laure Sassi, Franco Gulliver, John Belloni, Annalisa Ferguson, Brian Corbould, Emily Jaccard, Abbygail Webber, Laura Estimating the costs of air pollution to the National Health Service and social care: An assessment and forecast up to 2035 |
title | Estimating the costs of air pollution to the National Health Service and social care: An assessment and forecast up to 2035 |
title_full | Estimating the costs of air pollution to the National Health Service and social care: An assessment and forecast up to 2035 |
title_fullStr | Estimating the costs of air pollution to the National Health Service and social care: An assessment and forecast up to 2035 |
title_full_unstemmed | Estimating the costs of air pollution to the National Health Service and social care: An assessment and forecast up to 2035 |
title_short | Estimating the costs of air pollution to the National Health Service and social care: An assessment and forecast up to 2035 |
title_sort | estimating the costs of air pollution to the national health service and social care: an assessment and forecast up to 2035 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6039053/ https://www.ncbi.nlm.nih.gov/pubmed/29990358 http://dx.doi.org/10.1371/journal.pmed.1002602 |
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