The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Airborne Particulate Matter and Human Health: A Review
Open accessAbstract
Results of recent research show that particulate matter (PM) composition and size vary widely with both space and time. Despite the variability in PM characteristics, which are believed to influence human health risks, the observed relative health risk estimates per unit PM mass falls within a narrow range of values. Furthermore, no single chemical species appears to dominate health effects; rather the effects appear to be due to a combination of species. Non-PM factors such as socioeconomic status and lifestyle are also believed to affect the health risk, although accounting for these confounding factors is challenging. Airborne PM is also responsible for a number of effects aside from human health, such as alterations in visibility and climate. Because the PM problem is associated with a range of societal issues such as energy production and economic development, making progress on reducing the effects of PM will require integrated strategies that bring together scientists and decision makers from different disciplines to consider tradeoffs holistically.
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Cites
An association between air pollution and mortality in six U.S. cities
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Atmospheric Chemistry and Physics
(2017) · doi:10.5194/acp-volume17-issue3-editorial · Cited by 2,667
Is Daily Mortality Associated Specifically with Fine Particles?
Schwartz, J., Dockery, D. W., & Neas, L. M. (1996) · Journal of the Air & Waste Management Association · doi:10.1080/10473289.1996.10467528 · Cited by 1,561
Hoek, G., Brunekreef, B., Goldbohm, S., Fischer, P., & van den Brandt, P. A. (2002) · The Lancet · doi:10.1016/s0140-6736(02)11280-3 · Cited by 1,560
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Concentration and Size Distribution of Ultrafine Particles Near a Major Highway
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Study of ultrafine particles near a major highway with heavy-duty diesel traffic
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Organic aerosol formation from the oxidation of biogenic hydrocarbons
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Cited by
Particle toxicology and health - where are we?
Riediker, M., Zink, D., Kreyling, W., Oberdörster, G., Elder, A., Graham, U., Lynch, I., Duschl, A., Ichihara, G., Ichihara, S., et al. (2019) · Particle and Fibre Toxicology · doi:10.1186/s12989-019-0302-8 · Cited by 237
Evaluating the Efficacy of Cloth Facemasks in Reducing Particulate Matter Exposure
Shakya, K. M., Noyes, A., Kallin, R., & Peltier, R. E. (2017) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/jes.2016.42 · Cited by 202
Remarkable dynamics of nanoparticles in the urban atmosphere
Dall'Osto, M., Thorpe, A., Beddows, D. C. S., Harrison, R. M., Barlow, J. F., Dunbar, T., Williams, P. I., & Coe, H. (2011) · Atmospheric Chemistry and Physics · doi:10.5194/acp-11-6623-2011 · Cited by 110
“100 nm and the main component of ambient particles by number, are more toxic than coarser particles, per unit mass (Davidson et al., 2005; Seaton et al., 1995) and a recent epidemiological study in London (Atkinson et al., 2010) showed a strong association between particle number concentrations and…”
Kee, N. G., Kim, H. S., Choi, H., Kim, H.-J., & Seo, Y. R. (2021) · Journal of Cancer Prevention · doi:10.15430/jcp.2021.26.3.153 · Cited by 8
Metadata
- Authors
- Davidson, C. I., Phalen, R. F., & Solomon, P. A.
- Venue
- Aerosol Science and Technology
- Publisher
- Informa UK Limited
- Published
- 2005-08
- Volume
- 39
- Issue
- 8
- Pages
- 737-749
- ISSN
- 0278-6826 (ISSN-L)
- 1521-7388
- OpenAlex
- W2045747043
- Cited by
- 803
- References
- 36
- FWCI
- 8.48
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Davidson, C. I., Phalen, R. F., & Solomon, P. A. (2005). Airborne Particulate Matter and Human Health: A Review. Aerosol Science and Technology. https://doi.org/10.1080/02786820500191348
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
