County level study of the interaction effect of PM_2.5 and climate sustainability on mortality in China.

ABSTRACT:

Introduction

PM_2.5 and climate change are two major public health concerns, with majority of the research on their interaction focused on the synergistic effect, particularly for extreme events such as hot or cold temperatures. The climate sustainability index (CLS) was introduced to comprehensively explore the impact of climate change and the interactive effect on human health with air pollution.

Methods

In this study, a county-level panel data in China was collected and used. The generalized additive model (GAM) and geographically and temporally weighted regression (GTWR) was used to explore the interactive and spatial effect on mortality between CLS and PM_2.5.

Results and discussions

Individually, when CLS is higher than 150 or lower than 50,

SUBMITTER: Guo Y 

PROVIDER: S-EPMC9853058 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature