2020
DOI: 10.1016/j.envres.2020.109543
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Patterns of distributive environmental inequity under different PM2.5 air pollution scenarios for Salt Lake County public schools

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Cited by 27 publications
(22 citation statements)
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“…Our analyses used generalized estimating equations (GEEs), which are well suited for clustered and non-normally distributed data, as they provide a better fitting model than regular ordinary least squares (OLS) regression [ 66 , 67 ]. Other EJ studies on air pollution have utilized GEEs in their analyses [ 11 , 13 , 68 ].…”
Section: Methodsmentioning
confidence: 99%
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“…Our analyses used generalized estimating equations (GEEs), which are well suited for clustered and non-normally distributed data, as they provide a better fitting model than regular ordinary least squares (OLS) regression [ 66 , 67 ]. Other EJ studies on air pollution have utilized GEEs in their analyses [ 11 , 13 , 68 ].…”
Section: Methodsmentioning
confidence: 99%
“…Data from the American Community Survey (ACS) from 2017 indicates that although the population is predominantly (70.93%) non-Hispanic/Latino White, it also includes more than 330,131 (29.06%) racial/ethnic minority residents, with Hispanic/Latino as the largest minority group at 18.28% of the population. Two distributive environmental injustice studies on unequal exposures to air pollution have been conducted in the Salt Lake area to date, and they have revealed strong patterns of injustice with respect to race/ethnicity [11,12]. One study relied on chronic, averaged air pollution measures [12], and the other examined three different two-day air pollution scenarios [11].…”
Section: Case Study Areamentioning
confidence: 99%
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