Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11256
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dc.contributor.authorINT PANIS, Luc-
dc.date.accessioned2010-11-08T09:37:01Z-
dc.date.availableNO_RESTRICTION-
dc.date.available2010-11-08T09:37:01Z-
dc.date.issued2010-
dc.identifier.citationATMOSPHERIC ENVIRONMENT, 44(7). p. 1003-1004-
dc.identifier.issn1352-2310-
dc.identifier.urihttp://hdl.handle.net/1942/11256-
dc.description.abstractEpidemiology is showing consistent relationships between air pollution and health. Activity based models are now available that allow detailed time-series of both vehicle related air pollution and the geographical distribution of people to be modelled simultaneously. This has the potential to improve exposure assessments and enable a disaggregated and focussed policy response.-
dc.language.isoen-
dc.publisherElsevier-
dc.subject.otherActivity Based modelling, Air quality, Traffic, Air pollution, Health effect, dynamic exposure modelling-
dc.titleNew Directions: Air quality epidemiology can benefit from activity based models-
dc.typeJournal Contribution-
dc.identifier.epage1004-
dc.identifier.issue7-
dc.identifier.spage1003-
dc.identifier.volume44-
local.bibliographicCitation.jcatA1-
local.type.refereedRefereed-
local.type.specifiedArticle-
dc.bibliographicCitation.oldjcatA1-
dc.identifier.doi10.1016/j.atmosenv.2009.10.047-
item.fullcitationINT PANIS, Luc (2010) New Directions: Air quality epidemiology can benefit from activity based models. In: ATMOSPHERIC ENVIRONMENT, 44(7). p. 1003-1004.-
item.contributorINT PANIS, Luc-
item.fulltextWith Fulltext-
item.accessRightsOpen Access-
crisitem.journal.issn1352-2310-
crisitem.journal.eissn1873-2844-
Appears in Collections:Research publications
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