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How was research for this document conducted? Who participated?

margauxf

“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. 

How are the links between environmental conditions and health articulated?

margauxf

“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. 

What forms of evidence and expertise are used in the document?

margauxf

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).

What empirical points in this text -- dates, organization, laws, policies, etc -- will be important to your research?

annlejan7

Operations of transnational companies are affecting marginalized communities across the globe. As Kaswan had highlighted through examples of Union Carbide’s pesticide plant in India, as well as pollution associated with oil companies in Latin America, the implications of distributive environmental justice in such contexts are apparent yet difficult to address. Across international boundaries law enforcement becomes increasingly difficult, which is at the heart of the problem of my research topic. 

 

What (two or more) quotes from this text are exemplary or particularly evocative?

annlejan7

“The “right” scale will depend upon the nature of the harm being analyzed and purpose for which information is being gathered.” (Kaswan, p 29)

 

“Numerous studies, at a multiplicity of scales, analyze the distribution of a wide variety of land uses, as well as risk: what exposures, with what consequences, do people experience?” (Kaswan, p 33). 

 

What does this text focus on and what methods does it build from? What scales of analysis are foregrounded?

annlejan7

This text builds on concepts of equality, bases for deviating from the core idea of equality, and the multiple contexts that define and shape distributive justice. Kaswan additionally advances the distributive environmental justice by outlining the different contexts, including historical land use patterns, government regulations, infrastructure, and enforcement and the implications that each of these dimensions have on contributing to distributive injustice. 

 

What is the main argument, narrative and effect of this text? What evidence and examples support these?

annlejan7

The main narrative of this text builds on foundational ideas on equality and extrapolates it further to establish how distributive environmental justice, its ideas and articulations, as well as its operationalization, has taken shape throughout the years. To outline these points, Kaswan outlines different cases of environmental disaster, and subsequent government responses, to showcase how government institutions have both upheld and endeavored to address distributive environmental inequality in the past decades.

pece_annotation_1478472142

Sara_Nesheiwat

The Chernobyl nuclear power plant explosion in 1986 led to a ten day reactor fire that resulted in a large and unknown amount of radiation spilling into the surrounding areas in Ukraine. This caused the contamination of the environments and those around the reactor. Hundreds of thousands of people had to evacuate and to this day it remains to be an issue. Due to this controversy that still surrounds this disaster, the IAEA, FAO, UNDP, UNEP, OCHA, UNSCEAR and WHO created the Chernobyl Forum. They generate "authoritative consensual statements" on the environmental consequences due to the radiation exposure. Ultimately they and this event in Chernobyl are what called for this report.