Abstract

Lung cancer has become the leading cause of cancer-related deaths in China. The effect of ambient particulate matter with a diameter of 2.5μm or less (PM2.5) on lung cancer has received wide public attention. This thesis identified the spatial and temporal patterns and trends of lung cancer mortality among different subpopulations in China. The robust spatial and temporal regression models were used to assess the short- and long-term relationships between PM2.5 and lung cancer mortality. The findings will help policy-makers design more targeted and stringent PM2.5 control measures to curb lung cancer mortality in China.

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