Climate Change, Environmental Justice, and Vulnerability: An Exploratory Spatial Analysis

Research has demonstrated that vulnerable populations including disadvantaged populations of color live in areas that may place them at higher risk of exposure to social and environmental hazards. Due to climate change, these populations may experience worse health outcomes and environmental health disparities. The purpose of this project was to explore the use of Geographic Information Systems (GIS) to assess areas that may be vulnerable to climate change across the United States. We employed ArcGIS 9.3 to create vulnerability scores for areas across the country that may be that may be impacted by climate change at the county level in the United States using different social, environmental, and health indicators. We included data on race=ethnicity and socioeconomic status from the US Census. Data on pollution sources and pollution levels were obtained from the United States Environmental Protection Agency. Health data were obtained from the Behavioral Risk Factor Surveillance System (BRFSS), the National Vital Statistics System, and the National Center for Health Statistics. We also employed the Moran’s I statistic to assess any significant vulnerability clusters. We found the highest scores for counties in the South particularly the Deep South and in Metropolitan areas in the Northeast and Midwest. Our findings provide insight into the areas of the country that may be vulnerable to the impacts of climate-change. More work needs to be performed to improve the spatial resolution of the maps and include more physical data that will help target areas that need effective climate change related mitigation and adaptation policies

Environmental Injustice and the Mississippi Hog Industry

The recent growth and restructuring of the swine industry in the state of Mississippi has raised various environmental and socioeconomic concerns. We spatially examined the location and attributes of 67 industrial hog operations to determine if African American and low-income communities have a high prevalence of industrial hog operations located near their neighborhoods at the census block group level. We used spatial data and cross-classification analysis to compare the prevalence of industrial hog operations in neighborhoods that are primarily African American and low income with the prevalence in neighborhoods that are African American and affluent. We also used logistic regression to evaluate the relationship between the environmental justice variables and the location of the industrial hog operations. The block group characterization showed a high prevalence of hog operations in the four highest quintiles compared with the lowest quintile for percentage African American and percentage poverty. At increasing levels of percentage African Americans and percentage of persons in poverty, there are 2.4-3.6 times more operations compared with the referent group; additionally, scale adjustment to only the hog counties reduces this to 1.8-3.1 more operations compared with the referent group. The inequitable distribution of hog-confined agricultural feeding operations in these communities may have adverse environmental impacts associated with industrial hog production, such as increased health risks and quality of life degradation, as have occurred in other areas having similar facilities

Using photovoice as a tool for community engagement to assess the environment and explore environmental health disparities

Photovoice was used as a participatory research method to document perceived local environmental hazards, pollution sources, and potential impact on health among community members to address environmental health disparities. A convenience sample of 16 adults in Orangeburg, South Carolina participated in Photovoice. Photos depicted positive and negative implications of the environment across seven themes: recreation and leisure; food access; hazards and pollution; health, human, and social services; economic issues; beautification; and accommodation and accessibility. Positive and negative photos demonstrated a high level of interest among community members in considering how the environment influences health and health disparities

Public Infrastructure Disparities and the Microbiological and Chemical Safety of Drinking and Surface Water Supplies in a Community Bordering a Landfill

The historically African-American Rogers-Eubanks community straddles unincorporated boundaries of two municipalities in Orange County, North Carolina, and predates a regional landfill sited along its border in 1972. Community members from the Rogers-Eubanks Neighborhood Association (RENA), concerned about deterioration of private wells and septic systems and a lack of public drinking water and sewer services, implemented a community-driven research partnership with university scientists and community-based organizations to investigate water and sewer infrastructure disparities and the safety of drinking and surface water supplies. RENA drafted memoranda of agreement with partners and trained community monitors to collect data (inventory households, map water and sewer infrastructure, administer household water and sewer infrastructure surveys, and collect drinking and surface water samples). Respondents to the surveys reported pervasive signs of well vulnerability (100%) and septic system failure (68%). Each 100-m increase in distance from the landfill was associated with a 600 most probable number/100 mL decrease in enterococci concentrations in surface water (95% confidence interval = −1106, −93). Pervasive private household water and sewer infrastructure failures and poor water quality were identified in this community bordering a regional landfill, providing evidence of a need for improved water and sanitation services

Association between an Internet-Based Measure of Area Racism and Black Mortality

Racial disparities in health are well-documented and represent a significant public health concern in the US. Racism-related factors contribute to poorer health and higher mortality rates among Blacks compared to other racial groups. However, methods to measure racism and monitor its associations with health at the population-level have remained elusive. In this study, we investigated the utility of a previously developed Internet search-based proxy of area racism as a predictor of Black mortality rates. Area racism was the proportion of Google searches containing the “N-word” in 196 designated market areas (DMAs). Negative binomial regression models were specified taking into account individual age, sex, year of death, and Census region and adjusted to the 2000 US standard population to examine the association between area racism and Black mortality rates, which were derived from death certificates and mid-year population counts collated by the National Center for Health Statistics (2004–2009). DMAs characterized by a one standard deviation greater level of area racism were associated with an 8.2% increase in the all-cause Black mortality rate, equivalent to over 30,000 deaths annually. The magnitude of this effect was attenuated to 5.7% after adjustment for DMA-level demographic and Black socioeconomic covariates. A model controlling for the White mortality rate was used to further adjust for unmeasured confounders that influence mortality overall in a geographic area, and to examine Black-White disparities in the mortality rate. Area racism remained significantly associated with the all-cause Black mortality rate (mortality rate ratio = 1.036; 95% confidence interval = 1.015, 1.057; p = 0.001). Models further examining cause-specific Black mortality rates revealed significant associations with heart disease, cancer, and stroke. These findings are congruent with studies documenting the deleterious impact of racism on health among Blacks. Our study contributes to evidence that racism shapes patterns in mortality and generates racial disparities in health

The Public Health Exposome: A Population-Based, Exposure Science Approach to Health Disparities Research

The lack of progress in reducing health disparities suggests that new approaches are needed if we are to achieve meaningful, equitable, and lasting reductions. Current scientific paradigms do not adequately capture the complexity of the relationships between environment, personal health and population level disparities. The public health exposome is presented as a universal exposure tracking framework for integrating complex relationships between exogenous and endogenous exposures across the lifespan from conception to death. It uses a social-ecological framework that builds on the exposome paradigm for conceptualizing how exogenous exposures “get under the skin”. The public health exposome approach has led our team to develop a taxonomy and bioinformatics infrastructure to integrate health outcomes data with thousands of sources of exogenous exposure, organized in four broad domains: natural, built, social, and policy environments. With the input of a transdisciplinary team, we have borrowed and applied the methods, tools and terms from various disciplines to measure the effects of environmental exposures on personal and population health outcomes and disparities, many of which may not manifest until many years later. As is customary with a paradigm shift, this approach has far reaching implications for research methods and design, analytics, community engagement strategies, and research training

Moving Up the Ladder in Rising Waters: Community Science in Infrastructure and Hazard Mitigation Planning as a Pathway to Community Control and Flood Disaster Resilience

Partial funding for Open Access provided by the UMD Libraries' Open Access Publishing Fund.Public participation is the democratic gateway to more just, inclusive, and resilient communities. However, infrastructure and hazard mitigation planning tends toward top-down, expert-driven processes that fail to meaningfully include communities most at risk of disasters. In this article, we critically examine the potential of citizen science in infrastructure and hazard mitigation planning with a focus on stormwater infrastructure and extreme wet-weather events, as floods are the most common disaster in the US. We review literature on various citizen science approaches, from crowdsourcing to community science, and offer a framework that situates them within Sherry Arnstein’s foundational piece on public participation, a “Ladder of Citizen Participation.” We discuss the opportunities different participatory methods offer for meaningful public involvement, knowledge generation, and ultimately community control and ownership of stormwater and flood infrastructure. We provide case study examples across the US of how public works departments, emergency management, and related organizations have engaged communities around hazard risks and flooding challenges, and offer recommendations for how these programs can be improved. We conclude that in order to produce data needed to mitigate flood disasters and increase trust and public interest in infrastructure needs, civic participation should be grounded in community science, utilizing a multimedia and technological platform. The methods applied and data generated can be leveraged toward public safety, and provide voice, agency, and power particularly to disenfranchised communities most at risk from current hazards and looming climate change impacts.http://doi.org/10.5334/cstp.46

Hybrid Resiliency-Stressor Conceptual Framework for Informing Decision Support Tools and Addressing Environmental Injustice and Health Inequities

While structural factors may drive health inequities, certain health-promoting attributes of one’s “place” known as salutogens may further moderate the cumulative impacts of exposures to socio-environmental stressors that behave as pathogens. Understanding the synergistic relationship between socio-environmental stressors and resilience factors is a critical component in reducing health inequities; however, the catalyst for this concept relies on community-engaged research approaches to ultimately strengthen resiliency and promote health. Furthermore, this concept has not been fully integrated into environmental justice and cumulative risk assessment screening tools designed to identify geospatial variability in environmental factors that may be associated with health inequities. As a result, we propose a hybrid resiliency-stressor conceptual framework to inform the development of environmental justice and cumulative risk assessment screening tools that can detect environmental inequities and opportunities for resilience in vulnerable populations. We explore the relationship between actual exposures to socio-environmental stressors, perceptions of stressors, and one’s physiological and psychological stress response to environmental stimuli, which collectively may perpetuate health inequities by increasing allostatic load and initiating disease onset. This comprehensive framework expands the scope of existing screening tools to inform action-based solutions that rely on community-engaged research efforts to increase resiliency and promote positive health outcomes

Assessment of the distribution of toxic release inventory facilities in metropolitan Charleston: An environmental justice case study

Objectives. We assessed spatial disparities in the distribution of Toxic Release Inventory (TRI) facilities in Charleston, SC. Methods. We used spatial methods and regression to assess burden disparities in the study area at the block and census-tract levels by race/ethnicity and socioeconomic status (SES). Results. Results revealed an inverse relationship between distance to TRI facilities and race/ethnicity and SES at the block and census-tract levels. Results of regression analyses showed a positive association between presence of TRI facilities and high percentage non-White and a negative association between number of TRI facilities and high SES. Conclusions. There are burden disparities in the distribution of TRI facilities in Charleston at the block and census-tract level by race/ethnicity and SES. Additional research is needed to understand cumulative risk in the region