Importance of the Population Exposure Model in the Impact of PM and Daily Mortality

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dc.article.numberS217
dc.catalogadoraba
dc.contributor.authorStrappa García de la Huerta, Valentina
dc.contributor.authorCifuentes Lira, Luis Abdón
dc.contributor.authorJorquera, Héctor
dc.date.accessioned2025-08-28T21:12:27Z
dc.date.available2025-08-28T21:12:27Z
dc.date.issued2009
dc.description.abstractBackground and Objectives: A usual critique of ecological studies is the poor characterization of the population exposure to air pollution. In this work, the impact of population exposure modeling to particulate matter (PM10 and PM2.5) on the risk estimates is analyzed for the inhabitants of Santiago (Chile), for the years 1997 to 2005. Methods: All cause mortality risks were computed using a simple exposure model (average of several monitors) and a more detailed one, based on the results of an atmospheric photochemical model for four weeks, and extrapolated to the rest of the year. Results: Significant contributions to the risk estimates were found when the detailed exposure model was considered. The elderly showed the biggest increase on risk due to PM2.5 exposure, from 2.7% (CI 95%: 1.8–3.6) to 3% (1.9–4.1). For all ages, the increase was smaller, from 1% (0.4–1.7) to 1.2% (0.3–2.1). Even though the increases in risk were higher for the cold season, the incorporation of the proposed exposure wasn’t statistically significant. Conclusion: Health risks found were consistent with the evidence of previous national and international studies. The relative risks estimations using the proposed model were greater than using the average of the monitors, as usual in ecological studies. Even though the difference between the two models was not statistically significant, the RR increase is important for policy applications. The model based on photochemical estimations is a contribution in the exposure assessment, but its influence has to be explored with more detail.
dc.format.extent1 página
dc.fuente.origenWOS
dc.identifier.doi10.1097/01.ede.0000362726.17466.e2
dc.identifier.issn1044-3983
dc.identifier.urihttps://doi.org/10.1097/01.ede.0000362726.17466.e2
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/105354
dc.identifier.wosidWOS:000270874101309
dc.information.autorucEscuela de Ingeniería; Strappa García de la Huerta, Valentina; S/I; 126687
dc.information.autorucEscuela de Ingeniería; Cifuentes Lira, Luis Abdón; 0000-0001-7416-5607; 58703
dc.information.autorucS/I; Jorquera, Héctor; S/I; S/I
dc.issue.numero6
dc.language.isoen
dc.nota.accesocontenido parcial
dc.relation.ispartofAnnual Conference of the International-Society-for-Environmental-Epidemiology (21st : 2009 : Dublin, Ireland)
dc.revistaEpidemiology
dc.rightsacceso restringido
dc.subject.ddc620
dc.subject.deweyIngenieríaes_ES
dc.titleImportance of the Population Exposure Model in the Impact of PM and Daily Mortality
dc.typecomunicación de congreso
dc.volumen20
sipa.codpersvinculados126687
sipa.codpersvinculados58703
sipa.codpersvinculadosS/I
sipa.trazabilidadWOS;05-06-2021
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