Analyze

How was research for this document conducted? Who participated?

margauxf
Annotation of
In response to

“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
Annotation of
In response to

“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
Annotation of
In response to

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).

Sherri White-Williamson collects a water sample in Sampson County NC (March 2021)

rwitter
In response to

In response to multiple concerns about water quality expressed by residents, EJCAN launched a water quality testing initiative with university-based collaborators from UNC Chapel Hill and Appalachian State University. Threats to water include but are not limited to industrialized agriculture. Industrialized hog feces contain pathogens, heavy metals, and antibiotic-resistant bacteria that growers store in large, open pit lagoons (Grant 1999; Wing et al. 2008; Blanchette 2019; Christenson et al. 2022). When operators spray the waste onto nearby fields, they also release air and waterborne contaminants. Scholars have linked airborne emissions from industrial hog operations to respiratory dysfunction, mood disorders, compromised immune function, anemia, kidney disease, tuberculosis, and low birth weight (Wing et al. 2000; Kravchenko et al. 2018; Guidry et al. 2018). Moreover, the odor is noxious, causing nausea, embarrassment, disorientation, and social loss in cultural continuity as people cease culturally meaningful practices like gardening, going for walks, or gathering outside to share food (Herring 2014; Blanchette 2019). The impacts to water include contamination, harmful algal blooms, fish kills, and eutrophication in rivers and estuaries, especially when hurricanes flood the inner coastal plains with industrialized animal waste (Wing et al. 2000; Wing et al. 2008; NCCN 2021; Emanuel 2018; Christenson et al. 2022). Access to water infrastructure in Sampson County is highly uneven, and residents have been advocating for improved access for more than a decade.