Title |
Car indoor air pollution - analysis of potential sources
|
---|---|
Published in |
Journal of Occupational Medicine and Toxicology, December 2011
|
DOI | 10.1186/1745-6673-6-33 |
Pubmed ID | |
Authors |
Daniel Müller, Doris Klingelhöfer, Stefanie Uibel, David A Groneberg |
Abstract |
The population of industrialized countries such as the United States or of countries from the European Union spends approximately more than one hour each day in vehicles. In this respect, numerous studies have so far addressed outdoor air pollution that arises from traffic. By contrast, only little is known about indoor air quality in vehicles and influences by non-vehicle sources.Therefore the present article aims to summarize recent studies that address i.e. particulate matter exposure. It can be stated that although there is a large amount of data present for outdoor air pollution, research in the area of indoor air quality in vehicles is still limited. Especially, knowledge on non-vehicular sources is missing. In this respect, an understanding of the effects and interactions of i.e. tobacco smoke under realistic automobile conditions should be achieved in future. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 10% |
United Kingdom | 1 | 10% |
Spain | 1 | 10% |
Unknown | 7 | 70% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 60% |
Practitioners (doctors, other healthcare professionals) | 3 | 30% |
Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
France | 1 | <1% |
Unknown | 112 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 17% |
Researcher | 15 | 13% |
Student > Master | 12 | 10% |
Student > Bachelor | 11 | 9% |
Student > Postgraduate | 8 | 7% |
Other | 19 | 16% |
Unknown | 31 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Environmental Science | 26 | 22% |
Engineering | 17 | 15% |
Medicine and Dentistry | 9 | 8% |
Chemistry | 5 | 4% |
Computer Science | 4 | 3% |
Other | 20 | 17% |
Unknown | 35 | 30% |