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Individual and joint associations of PM2.5 components with the mumps incidence: based on quantile g-computation and Bayesian kernel machine regression.

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Bibliographic Details
Title: Individual and joint associations of PM2.5 components with the mumps incidence: based on quantile g-computation and Bayesian kernel machine regression.
Authors: Li, Rui1 (AUTHOR), Zhang, Xiaoshu2 (AUTHOR), Li, Donghua3 (AUTHOR), Wang, Tingrong1 (AUTHOR), Yue, Xiong4 (AUTHOR), Shi, Tianshan1 (AUTHOR), Li, Zhenjuan1 (AUTHOR), Zou, Zixuan1 (AUTHOR), Ren, Xiaowei1 (AUTHOR) renxw@lzu.edu.cn
Source: International Journal of Environmental Health Research. Jul2026, Vol. 36 Issue 7, p1808-1819. 12p.
Database: Environment Complete
Description
ISSN:09603123
DOI:10.1080/09603123.2025.2604160