Background Machine learning algorithms have very high predictive ability. However, no
study has used machine learning to estimate historical concentrations of PM 2.5 (particulate …

Background China is experiencing severe ambient air pollution. However, few studies
anywhere have examined the health effects of PM 1 (particulate matter with aerodynamic …

Constant urbanization growth has seriously increased the influence of urbanization
development on atmospheric environment security (AES). Thus, understanding the …

Evidence of associations between exposure to ambient air pollution and health outcomes
are sparse in the South Asian region due to limited air pollution exposure and quality health …

The air pollution in China is a severe problem. The aim of our study was to investigate the
impact of air pollutants on acute respiratory outcomes in outpatients. Outpatient data from 2 …

Background Little is known about the effect of ambient fine particulate matter (PM 2.5) on
chronic obstructive pulmonary disease (COPD) in China. The objective of this study was to …

The present study assessed the effect of short-term exposure to PM 2.5 of daily outpatient
visits for respiratory diseases. Electronic records of daily outpatient visits were collected from …

In this study, we estimated the short-term effects of ambient air pollution on respiratory
disease hospitalization in Taiyuan, China. Daily data of respiratory disease hospitalization …

The objective of this study was to investigate the potential association between air pollutants
and respiratory diseases (RDs). Generalized additive models were used to analyze the …

Background Exposure to air pollutants, such as particulate matter (PM), represents a
growing health problem. The aim of our study was to investigate whether PM could induce a …