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ABSTRACT: Background
Environmental exposure is a crucial factor contributing to the increasing health and economic burden of chronic lower respiratory diseases (CLRDs). This study aims to quantify the effects of environmental exposure on hospitalization costs associated with CLRDs and their population heterogeneity, thus providing a scientific basis for formulating more precise and effective cost-control policies.Methods
Hospital admission records from seven major tertiary hospitals in Changchun from 2017 to 2020 were collected, as were environmental monitoring and meteorological data. A generalized additive model and distributed lag nonlinear model were employed to identify the exposure-response relationships and lag effects of pollutants and temperature.Results
A total of 2
SUBMITTER: Jia H
PROVIDER: S-EPMC12711853 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature