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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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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
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Header DbId: mdl
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An: 41486698
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Individual and joint associations of PM<subscript>2.5</subscript> components with the mumps incidence: based on quantile g-computation and Bayesian kernel machine regression.
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  Data: <searchLink fieldCode="AU" term="%22Li+R%22">Li R</searchLink>; School of Public Health, Lanzhou University, Lanzhou, Gansu, China.<br /><searchLink fieldCode="AU" term="%22Zhang+X%22">Zhang X</searchLink>; Immunization Program Division, Gansu Provincial Center for Disease Control and Prevention, Lanzhou, Gansu, China.<br /><searchLink fieldCode="AU" term="%22Li+D%22">Li D</searchLink>; Medical Records Management Office, Gansu Provincial Maternal and Child Care Hospital, Lanzhou, Gansu, China.<br /><searchLink fieldCode="AU" term="%22Wang+T%22">Wang T</searchLink>; School of Public Health, Lanzhou University, Lanzhou, Gansu, China.<br /><searchLink fieldCode="AU" term="%22Yue+X%22">Yue X</searchLink>; Office of Gansu Provincial Maternal and Child Care Hospital, Lanzhou, Gansu, China.<br /><searchLink fieldCode="AU" term="%22Shi+T%22">Shi T</searchLink>; School of Public Health, Lanzhou University, Lanzhou, Gansu, China.<br /><searchLink fieldCode="AU" term="%22Li+Z%22">Li Z</searchLink>; School of Public Health, Lanzhou University, Lanzhou, Gansu, China.<br /><searchLink fieldCode="AU" term="%22Zou+Z%22">Zou Z</searchLink>; School of Public Health, Lanzhou University, Lanzhou, Gansu, China.<br /><searchLink fieldCode="AU" term="%22Ren+X%22">Ren X</searchLink>; School of Public Health, Lanzhou University, Lanzhou, Gansu, China.
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  Data: <searchLink fieldCode="JN" term="%229106628%22">International journal of environmental health research</searchLink> [Int J Environ Health Res] 2026 Jul; Vol. 36 (7), pp. 1808-1819. <i>Date of Electronic Publication: </i>2026 Jan 04.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Informa+Healthcare%22">Informa Healthcare </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>9106628 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1369-1619 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209603123%22">09603123 </searchLink><i>NLM ISO Abbreviation: </i>Int J Environ Health Res <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1080/09603123.2025.2604160
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      – Code: eng
        Text: English
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        StartPage: 1808
    Titles:
      – TitleFull: 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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            NameFull: Zhang X
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            – D: 01
              M: 07
              Text: 2026 Jul
              Type: published
              Y: 2026
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              Value: 1369-1619
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              Value: 36
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            – TitleFull: International journal of environmental health research
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