Linked Life Data

17668011

Source:http://linkedlifedata.com/resource/pubmed/id/17668011

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2008-2-19
pubmed:abstractText
This study presents the methods and results of part of the HAPiNZ (Health and Air Pollution in New Zealand) study. A part of this project was to produce accurate measures of pollution exposure for the entire population of New Zealand living in urban areas. Suitable data are limited in most parts of New Zealand with some areas having no monitoring at all. As a result, this project has developed an empirical model to estimate annual exposure values for the whole country down to the census area unit level. This uses surrogate emission indicators and meteorological variables. Data sources used include census data on domestic heating, industrial emissions estimates, vehicle kilometres travelled and meteorological measurements. These were used to calculate annual exposure estimates and were then compared to monitored data for the areas where monitoring data were available. Results show a good association between the model estimates and the monitored data, enabling advanced health effects assessments for the country's entire urban population.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1559-064X
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
18
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
200-10
pubmed:meshHeading
pubmed:year
2008
pubmed:articleTitle
An empirical model for estimating census unit population exposure in areas lacking air quality monitoring.
pubmed:affiliation
Department of Geography, University of Canterbury, Christchurch, New Zealand. simon.kingham@canterbury.ac.nz
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't, Validation Studies