Bibliometrics and visualization analysis of land use regression models in ambient air pollution research
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TLDR
In order to better assess the health-related risks of ambient air pollution, and to best inform preventative public health intervention policies, application of LUR models to environmental epidemiology studies in China should be encouraged.Abstract:
Objective
To quantitatively analyze the current status and development trends regarding the land use regression (LUR) models on ambient air pollution studies.
Methods
Relevant literature from the PubMed database before June 30, 2017 was analyzed, using the Bibliographic Items Co-occurrence Matrix Builder (BICOMB 2.0). Keywords co-occurrence networks, cluster mapping and timeline mapping were generated, using the CiteSpace 5.1.R5 software. Relevant literature identified in three Chinese databases was also reviewed.
Results
Four hundred sixty four relevant papers were retrieved from the PubMed database. The number of papers published showed an annual increase, in line with the growing trend of the index. Most papers were published in the journal of Environmental Health Perspectives. Results from the Co-word cluster analysis identified five clusters: cluster#0 consisted of birth cohort studies related to the health effects of prenatal exposure to air pollution; cluster#1 referred to land use regression modeling and exposure assessment; cluster#2 was related to the epidemiology on traffic exposure; cluster#3 dealt with the exposure to ultrafine particles and related health effects; cluster#4 described the exposure to black carbon and related health effects. Data from Timeline mapping indicated that cluster#0 and#1 were the main research areas while cluster#3 and#4 were the up-coming hot areas of research. Ninety four relevant papers were retrieved from the Chinese databases with most of them related to studies on modeling.
Conclusion
In order to better assess the health-related risks of ambient air pollution, and to best inform preventative public health intervention policies, application of LUR models to environmental epidemiology studies in China should be encouraged.
Key words:
Air pollution; Bibliometrics; Cluster analysis; Environmental epidemiology; Land use regression modelsread more
Citations
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Journal ArticleDOI
Ambient PM2.5 exposures and systemic biomarkers of lipid peroxidation and total antioxidant capacity in early pregnancy.
Yujuan Zhang,Jianmei Wang,Xian Gong,Li Chen,Bumei Zhang,Qina Wang,Bin Han,Nan Zhang,Fengxia Xue,Sverre Vedal,Zhipeng Bai +10 more
TL;DR: Increased serum MDA and T-AOC were significantly associated with increases in PM2.5 at several lag exposure time windows in both groups, and more severe lipid peroxidation and insufficient antioxidant capacity associated with PM 2.5 was found in CREPL women than NEP women.
Journal ArticleDOI
Maternal exposure to ambient PM2.5 and term birth weight: A systematic review and meta-analysis of effect estimates.
TL;DR: In this paper, a systematic review and meta-analysis of evidence regarding PM2.5 exposure in term birth is presented, which shows that TBW was negatively associated with maternal exposure during the entire pregnancy and each trimester.