Association of ambient air pollution with cardiovascular disease risks in people with type 2 diabetes: a Bayesian spatial survival analysis.

Pei-Fang SuFei-Ci SieChun-Ting YangYu-Lin MauShihchen KuoHuang-Tz Ou

Published in: Environmental health : a global access science source (2020)

Against traditional non-spatial analyses, our Bayesian spatial survival model enhances the assessment precision for environmental research with spatial survival data to reveal significant adverse cardiovascular effects of air pollution among vulnerable diabetic patients.

Keyphrases

air pollution
cardiovascular disease
particulate matter
lung function
free survival
type diabetes
human health
emergency department
electronic health record
gene expression
risk assessment
cystic fibrosis
coronary artery disease
machine learning
deep learning