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 R; School of Public Health, Lanzhou University, Lanzhou, Gansu, China., Zhang X; Immunization Program Division, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China., Li D; Medical Records Management Office, Gansu Provincial Maternal and Child Care Hospital, Lanzhou, Gansu, China., Wang T; School of Public Health, Lanzhou University, Lanzhou, Gansu, China., Yue X; Office of Gansu Provincial Maternal and Child Care Hospital, Lanzhou, Gansu, China., Shi T; School of Public Health, Lanzhou University, Lanzhou, Gansu, China., Li Z; School of Public Health, Lanzhou University, Lanzhou, Gansu, China., Zou Z; School of Public Health, Lanzhou University, Lanzhou, Gansu, China., Ren X; School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
Source: International journal of environmental health research [Int J Environ Health Res] 2026 Jul; Vol. 36 (7), pp. 1808-1819. Date of Electronic Publication: 2026 Jan 04.
Publication Type: Journal Article
Journal Info: Publisher: Informa Healthcare Country of Publication: England NLM ID: 9106628 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1369-1619 (Electronic) Linking ISSN: 09603123 NLM ISO Abbreviation: Int J Environ Health Res Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1369-1619
DOI:10.1080/09603123.2025.2604160