Cargando…
Spatial variability of the effect of air pollution on term birth weight: evaluating influential factors using Bayesian hierarchical models
BACKGROUND: Epidemiological studies suggest that air pollution is adversely associated with pregnancy outcomes. Such associations may be modified by spatially-varying factors including socio-demographic characteristics, land-use patterns and unaccounted exposures. Yet, few studies have systematicall...
Autores principales: | Li, Lianfa, Laurent, Olivier, Wu, Jun |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4744429/ https://www.ncbi.nlm.nih.gov/pubmed/26850268 http://dx.doi.org/10.1186/s12940-016-0112-5 |
Ejemplares similares
-
Investigating the association between birth weight and complementary air pollution metrics: a cohort study
por: Laurent, Olivier, et al.
Publicado: (2013) -
Air toxics and birth defects: a Bayesian hierarchical approach to evaluate multiple pollutants and spina bifida
por: Swartz, Michael D, et al.
Publicado: (2015) -
A Statewide Nested Case–Control Study of Preterm Birth and Air Pollution by Source and Composition: California, 2001–2008
por: Laurent, Olivier, et al.
Publicado: (2016) -
Influential Nodes Identification in the Air Pollution Spatial Correlation Weighted Networks and Collaborative Governance: Taking China’s Three Urban Agglomerations as Examples
por: Guo, Feipeng, et al.
Publicado: (2022) -
Ambient air pollution exposure and full-term birth weight in California
por: Morello-Frosch, Rachel, et al.
Publicado: (2010)