The burden associated with ambient PM2.5 and meteorological factors in Guangzhou, China, 2012-2016: A generalized additive modeling of temporal years of life lost

Article ID	Journal	Published Year	Pages	File Type
10130165	Chemosphere	2018	10 Pages	PDF

Abstract

Daily PM2.5 exposure has a nonlinear effect on YLL and increased levels of PM2.5 may lead to increased YLL. This study highlights the urge to reduce ambient PM2.5 pollution in Guangzhou, in order to promote environmental health.

Keywords

DIC AIC MAPE GAM VIF IQR PM2.5 YLL 10-Fold cross-validation standard deviation disease burden MAE Years of life lost Meteorological factor Variance inflation factors inter-quartile range Generalized additive model Akaike information criterion Mean Absolute Error mean absolute percentage error