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“Since asthma surveillance data were not available at the census tract level for most of Louisiana, we estimated asthma burden using the inpatient discharge data available through LDH.”  (4)

“Case counts are not provided for CTs with a 2018 population of less than 800 to safeguard privacy.” (4)

“To minimize the need for suppression, inpatient discharge data was aggregated for the three most recent years available (2017–2019) and average annual crude rates were calculated for cases where asthma (ICD-10 code J45) was the primary diagnosis, as well as where asthma was any diagnosis.” (4)

“Spearman’s Rank Correlation was utilized to analyze the correlation between various social and environmental vulnerability factors, COVID-19 incidence, and the measures of asthma risk by CT.” (4)

“This was performed by first ranking the values in each dataset using RANK.AVG function in MS Excel 2016, followed by applying the PEARSON function to compare two datasets. Significance was set at alpha less than 0.05 (α < 0.05), with degrees of freedom (df) equal to two less than the total number of data points represented in both datasets” (4)

The research team works for the Section of Environmental Epidemiology and Toxicology, Office of Public Health, Louisiana Department of Health in Baton Rouge. Team members included Arundhati Bakshi; Shanon Soileau; Collete Stewart; Kate Friedman; Collete Maser; Alexis Williams; Kathleen Aubin; and Alicia Van Doren. 

“Currently, much of the environmental focus of the pandemic remains on PM2.5 levels; however, we noted that higher levels of ozone was consistently associated with higher incidence rates of COVID-19, and it was the only environmental factor that appeared to have an additive effect over SVI on COVID-19 incidence (Fig 1).” (11)

“Specifically, our data show a moderately strong positive correlation between SVI due to minority status/language barrier and three health data variables: asthma hospitalization; estimated asthma prevalence; and cumulative COVID-19 incidence at 3 months (Table 2). Interestingly, SVI measures were either negatively or not significantly correlated COVID-19 incidence at the 9-and 12-month time points, indicating that social vulnerability factors may have played a greater role in COVID-19 spread early in the pandemic, but may have been of diminishing importance as the pandemic wore on (Fig 1 and Table 2).” (9)

Bakshi A, Van Doren A, Maser C, Aubin K, Stewart C, Soileau S, et al. (2022) Identifying Louisiana communities at the crossroads of environmental and social vulnerability, COVID-19, and asthma. PLoS ONE 17(2): e0264336. https:// doi.org/10.1371/journal.pone.0264336. 

This document uses data resources from the Center for Disease Control/Agency for Toxic Substances and Disease Registry (CDC/ATSDR), the Environmental Protection Agency (EPA), and the Louisiana Department of Health (LDH).

These data resources include the Social Vulnerability Index (2018 - CDC/ATSDR), the NATA Respiratory Hazard Index (EPA 2014), PM2.5level (average annual concentration in ug/m3, EPA 2016), ozone level (summer seasonal average of daily maximum 8-hour concentration in air in parts per billion, EPA 2016), indoor mold concerns reported to IEQES program (average annual number of calls, LDH 2017-2019), cumulative COVID-19 incidence rate at 3-, 6-, 9- and 12-month increments (LDH March 2020 - March 2021), asthma hospitalization (average annual crude rate, where asthma was a primary diagnosis among hospitalization cases, LDH 2017-2019), and estimated asthma prevalence (average annual crude rate, where asthma was any diagnosis among hospitalization cases, LDH 2017-2019).

The case study findings in the text have been discussed with senior staff at the California Governor’s Office of Emergency Services and members of the California Latino Legislative Caucus. It has also been presented at the Yale School of Forestry and Environmental Studies and the Yale Center for the Study of Race, Indigeneity, and Transnational Migration during a Scoping Analysis workshop with California policymakers and advocates.

“Despite these disadvantages, the state of California has failed to map wildfire vulnerability based on socioeconomic status. Without an accurate identification and mapping process, the state is unable to provide local governments and community-based groups with a reliable rendering of the populations most vulnerable to the impacts of wildfire. Most importantly, by failing to identify socially vulnerable communities across California, government entities are unable to understand in advance where to target limited resources and programs (Sadd et al., 2011).” (Mendez 57)

“To further ensure participation and strengthen capacity, federal, state and local governments should provide appropriate funding to community-based organizations working directly with vulnerable populations.Community-based organizations have stronger cultural competency in engaging with communities of color and immigrants,

greater levels of trust, and more flexibility to explicitly assist these populations. In community-based planning processes, vulnerable communities are actively engaged in the identification, analysis and interventions, monitoring, and evaluation of disaster risks. This approach helps reduce their vulnerabilities and enhance their capacities.” (Mendez 59)

This text highlights the importance of a mixed methods approach to disaster planning. Specifically, the importance of incorporating qualitative research methods as a way to anchor the voices of marginalized communities within disaster planning and provide context to emerging trends observed in climate related risks.  Regarding disaster planning and undocumented immigrant communities for example, Mendez (2020) stresses that practitioners must go beyond addressing the contextual vulnerability of these communities and consider how to address systemic problems perpetuated by the agricultural industry. The lack of accountability and disregard for human life within the industry, coupled with the lack political power within undocumented immigrant communities, particularly those belonging to the Mixteco/ Indigena indigenous groups, are systems of oppression which must be addressed if climate disaster risks are to be truly addressed.

Mendez (2020) stresses that the intersectionality of race, class, gender, indigeneity, and many other dimensions of identities coalesce to shape the lived experiences of people in their local environments. Traditional quantitative methods, though useful in providing snapshots of disaster vulnerability, can do little in capturing the social environmental conditions which determine responses to extreme weather and climatic events. At best, it can serve to provide an obscured understanding of disaster risks, at worst, this one-dimensional methodology approach may exacerbate existing inequalities perpetuated by systems of racism, classicism, and sexism by rendering whole communities invisible simply by virtue of sampling biases (Mendez, 2020). The case study by which Mendez frames his central argument focuses on how Indigenous immigrants were systematically ignored in emergency response and alleviation efforts following the Thomas Fire in California’s Ventura and Santa Barbara counties. 

The authors productively place three bodies of theory in conversation, abolitionist theories, urban political ecology, and decolonial theory, to rewrite the intellectual trajectories of EJ as extending the legacy of the Black Radical Tradition. What are our intellectual and political genealogies as students and researchers of the quotidian anthropocene? What genealogies are we pushing against? Drawing from their examples of spaces and historical moments of interracial solidarity, what kinds of coalitions do we see ourselves partnering with and contributing to as (largely?) newcomers to the activism in Austin?

What is the energy sector's relationship to racial capitalism? How is its current configuration shaped by legacies of settler colonialism, state bureaucracy, and corporate investment?