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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).

1000 years

jradams1

Climbing this "disposal" cell was the main event of our guided tour of the Weldon Spring's Interpretive Center. It represents the "finished product" of the toxic waste clean up project and Legacy Management site. Engineered and constructed with 8 layers of strategically chosen materials, the cell is expected to "deter the migration of [its] contaminants" for up to 1000 years. Thus, it is really more of a storage cell than a disposal cell...

Some of the questions coming from our group concerned the criteria of assessment used to determine the cell's long term durability and functionality. For instance, the cell was designed to control and treat leachate--water that has become contaminated from seeping through the cell--but this capacity has its limits. Though the cell has been designed to handle well-over the historical record of rainfall in the area, climate change has rendered history an ineffective means of predicting the severity of weather in the future.

Another concern is the transfer of knowledge about the cell and its toxic contents. How do we make sure no one opens it up (or blows it up) over the course of 1000 years? The strategy of the DOE is to monitor the cell by testing the local area for contaminants, maintaining strict military surveillance over the area, and by using the interpretive center to educate tourists and the local community about the cell, i.e. Legacy Management. But the US federal government's (or any institution's) ability to keep this up for 1000 years is obviously questionable, at the very best. What is certain here is that, by managing nuclear waste, with its inhuman time scales and the correlate amplification of complexity, we are venturing into uncharted waters. The DOE wants to create the impression that everything is under control and it may be, for the time being. It is also reasonable to take pains not to incite widespread fear and panic. But it is similarly important to recognize that we, in this moment, simply cannot be in control over 1000 years of possibility.