Javascript must be enabled to continue!
Cumulative Exposures to Environmental and Socioeconomic Risk Factors in Milwaukee County, Wisconsin
View through CrossRef
The environmental justice literature demonstrates consistently that
low-income and minority communities are disproportionately exposed to
environmental hazards. In this case study, we examined cumulative
multipollutant, multidomain, and multimatrix environmental exposures in
Milwaukee County, Wisconsin. We identified spatial hot spots in
Milwaukee County both individually and through clusters across a profile
of environmental pollutants that span regulatory domains and matrices of
exposure, as well as socioeconomic indicators. The most sensitive
cluster within the urban area was largely characterized by low
socioeconomic status (SES) and an overrepresentation of the Non-Hispanic
Black (NHB) population relative to the county as a whole. In this
cluster, average pollutant concentrations were equivalent to the 78th
percentile in county-level blood lead levels, 67th percentile in
county-level NO2, 79th percentile in county-level CO, and 78th
percentile in county-level air toxics while simultaneously having an
average equivalent to the 62nd percentile in county-level unemployment,
70th percentile in county-level population rate lacking a high school
diploma, 73rd percentile in county-level poverty rate, and 28th
percentile in county-level median household income. The spatial patterns
of pollutant exposure and SES indicators suggested that these
disparities were not random but were instead structured by socioeconomic
and racial factors. Our case study, which combines environmental
pollutant exposures, sociodemographic data, and clustering analysis,
provides a roadmap to identify and target overburdened communities for
interventions that reduce environmental exposures and consequently
improve public health.
Title: Cumulative Exposures to Environmental and Socioeconomic Risk Factors in Milwaukee County, Wisconsin
Description:
The environmental justice literature demonstrates consistently that
low-income and minority communities are disproportionately exposed to
environmental hazards.
In this case study, we examined cumulative
multipollutant, multidomain, and multimatrix environmental exposures in
Milwaukee County, Wisconsin.
We identified spatial hot spots in
Milwaukee County both individually and through clusters across a profile
of environmental pollutants that span regulatory domains and matrices of
exposure, as well as socioeconomic indicators.
The most sensitive
cluster within the urban area was largely characterized by low
socioeconomic status (SES) and an overrepresentation of the Non-Hispanic
Black (NHB) population relative to the county as a whole.
In this
cluster, average pollutant concentrations were equivalent to the 78th
percentile in county-level blood lead levels, 67th percentile in
county-level NO2, 79th percentile in county-level CO, and 78th
percentile in county-level air toxics while simultaneously having an
average equivalent to the 62nd percentile in county-level unemployment,
70th percentile in county-level population rate lacking a high school
diploma, 73rd percentile in county-level poverty rate, and 28th
percentile in county-level median household income.
The spatial patterns
of pollutant exposure and SES indicators suggested that these
disparities were not random but were instead structured by socioeconomic
and racial factors.
Our case study, which combines environmental
pollutant exposures, sociodemographic data, and clustering analysis,
provides a roadmap to identify and target overburdened communities for
interventions that reduce environmental exposures and consequently
improve public health.
Related Results
Disrupting the Jail-To-Deportation Pipeline in Wisconsin
Disrupting the Jail-To-Deportation Pipeline in Wisconsin
Most deportations of noncitizens living in Wisconsin involve violations of state law. In Wisconsin—and across the country—the majority of noncitizens who face deportation proceedin...
Racial and Ethnic Inequities to Cumulative Environmental and Occupational Impacts in Michigan
Racial and Ethnic Inequities to Cumulative Environmental and Occupational Impacts in Michigan
AbstractThe contribution of occupational exposures to the extent of cumulative environmental impacts, and their implications for environmental justice (EJ), have not been investiga...
Influence of Cumulative Rainfall on the Occurrence of Landslides in Korea
Influence of Cumulative Rainfall on the Occurrence of Landslides in Korea
This study presents the impact of cumulative rainfall on landslides, following the analysis of cumulative rainfall for 20 days before the landslide. For the 1520 landslides analyze...
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Evaluating the Science to Inform the Physical Activity Guidelines for Americans Midcourse Report
Abstract
The Physical Activity Guidelines for Americans (Guidelines) advises older adults to be as active as possible. Yet, despite the well documented benefits of physical a...
Geology and Ground-Water Resources of Thomas County, Kansas
Geology and Ground-Water Resources of Thomas County, Kansas
This report describes the geography, geology, and groundwater resources of Thomas County in northwestern Kansas. The hydrologic and geologic information was obtained in the field d...
Begging the Question: Judicial Review of Ballot Questions for Referred State Constitutional Amendments in Wisconsin
Begging the Question: Judicial Review of Ballot Questions for Referred State Constitutional Amendments in Wisconsin
Among the most powerful instantiations of popular sovereignty is the people’s right to amend their state constitutions. In Wisconsin, the legislature refers proposed state constitu...
Pan-cancer DNA methylation signature quantification of lifestyle exposures and cancer prognosis
Pan-cancer DNA methylation signature quantification of lifestyle exposures and cancer prognosis
Abstract
Background: Alcohol consumption, body mass index (BMI) and cigarette smoking are among the most well-studied lifestyle cancer risk exposures which can also change ...

