{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T11:58:44Z","timestamp":1753876724824,"version":"3.41.2"},"reference-count":0,"publisher":"Oxford University Press (OUP)","issue":"Supplement_3","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Background<\/jats:title>\n                  <jats:p>Ambient air pollution and noise substantially impact public health and the economy. Different methods to quantify these impacts are described in the literature.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>Within the European project BEST-COST (Burden of disease-based methods for estimating the socio-economic cost of environmental stressors), we aim to develop an open-source R package to quantify and monetise the disease burden attributable to air pollution and noise, including the impact of social inequalities.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>The developed code will allow for different calculation pathways including: single baseline health data vs. age-specific estimates from life tables; relative and absolute risk; scenario comparison based on the population attributable fraction vs. population impact fraction; single-pollutant vs. correlated exposures; and outdoor vs. indoor air pollution. Moreover, the package can digest a variety of input data formats for the exposure-response function (e.g. relative risk with fixed shape vs. user-defined function) and exposure data (e.g. population-weighted mean vs. categorical distribution, spatial data). Eligible impact metrics will include morbidity incidence and prevalence, number of deaths, years of life lost, and years lived with disability. Finally, the R package will enable quantifying social inequities (using a novel multiple deprivation index) and monetising the attributable disease burden (using a state-of-the-art approach).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>During development, the R package will be tested in BEST-COST case studies in 5 European countries (BE, EE, FR, NO, PT), compared with existing tools, and discussed with key users in a workshop. The final R package will be available on GitHub in 2026.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>This tool will allow the quantification and monetisation of the health impact of air pollution and noise. The R package will be a flexible programming resource that can be used as a standalone or combined with existing tools to build a more solid basis for evidence-based policy making.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Key messages<\/jats:title>\n                  <jats:p>\u2022\u2002This open-source tool will allow the quantification and monetisation of the health impact of air pollution and noise, including the impact of social inequalities.<\/jats:p>\n                  <jats:p>\u2022\u2002The R package will be a flexible programming resource that can be used as a standalone or combined with existing tools to build a more solid basis for evidence-based policy making.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/eurpub\/ckae144.1559","type":"journal-article","created":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T18:47:34Z","timestamp":1730141254000},"source":"Crossref","is-referenced-by-count":0,"title":["Novel R package to quantify and monetize burden of disease attributable to air pollution and noise"],"prefix":"10.1093","volume":"34","author":[{"given":"A","family":"Luyten","sequence":"first","affiliation":[{"name":"Environmental Exposure and Health, Swiss Tropical and Public Health Institute , Basel,","place":["Switzerland"]},{"name":"University of Basel , Basel,","place":["Switzerland"]}]},{"given":"S","family":"Breitner","sequence":"additional","affiliation":[{"name":"Ludwig-Maximilians-Universit\u00e4t M\u00fcnchen , Munich,","place":["Germany"]}]},{"given":"A","family":"Barbosa","sequence":"additional","affiliation":[{"name":"University of Porto , Porto,","place":["Portugal"]}]},{"given":"A","family":"Kocbach B\u00f8lling","sequence":"additional","affiliation":[{"name":"Norwegian Institute for Public Health and the Environment , Trondheim,","place":["Norway"]}]},{"given":"M","family":"Lepnurm","sequence":"additional","affiliation":[{"name":"National Institute for Health Development , Tallinn,","place":["Estonia"]}]},{"given":"A","family":"Pauwels","sequence":"additional","affiliation":[{"name":"Sciensano , Brussels,","place":["Belgium"]}]},{"given":"M J","family":"Rueda-L\u00f3pez","sequence":"additional","affiliation":[{"name":"Scientific and Technical Centre for Building , Paris,","place":["France"]}]},{"given":"A","family":"Castro","sequence":"additional","affiliation":[{"name":"Environmental Exposure and Health, Swiss Tropical and Public Health Institute , Basel,","place":["Switzerland"]},{"name":"University of Basel , Basel,","place":["Switzerland"]}]}],"member":"286","published-online":{"date-parts":[[2024,10,28]]},"container-title":["European Journal of Public Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/academic.oup.com\/eurpub\/article-pdf\/34\/Supplement_3\/ckae144.1559\/60116903\/ckae144.1559.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/academic.oup.com\/eurpub\/article-pdf\/34\/Supplement_3\/ckae144.1559\/60116903\/ckae144.1559.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T18:47:34Z","timestamp":1730141254000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/eurpub\/article\/doi\/10.1093\/eurpub\/ckae144.1559\/7843906"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":0,"journal-issue":{"issue":"Supplement_3","published-online":{"date-parts":[[2024,10,28]]},"published-print":{"date-parts":[[2024,11,1]]}},"URL":"https:\/\/doi.org\/10.1093\/eurpub\/ckae144.1559","relation":{},"ISSN":["1101-1262","1464-360X"],"issn-type":[{"type":"print","value":"1101-1262"},{"type":"electronic","value":"1464-360X"}],"subject":[],"published-other":{"date-parts":[[2024,11]]},"published":{"date-parts":[[2024,10,28]]},"article-number":"ckae144.1559"}}