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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).

This text builds from earlier conceptions of the term “land dispossession” and “land grab”. As defined by the 2011 International Land Coalition, land grabbing specifically refers to large scale land acquisitions that are “ in violation of human rights, without prior consent of the preexisting land users, and with no consideration of social and environmental impacts”. Characterization of land grabs and their resulting harms most commonly considers the effect of physical displacement and harms within the articulated “grabbed” area (Nyantakyi-Frimpong, 2017;Ogwand, 2018;  huaserman, 2018). Li and Pan seek to expand the frame of analysis for land grabs beyond the site of grabbed land to consider the full extent of harms associated with land grabs both geographically (via pollution spillover to areas outside of “grabbed land”) and temporally (via latent “expulsion by pollution). 

 “While the villagers are not passive victims and have adopted various resistance strategies, the space for them to struggle and achieve success is confined and shaped by the existing power asymmetry in which local villagers, capital and local government are embedded.”  (Li and Pan, 2021, p 418). 

“...this framing of land dispossession is problematic in two aspects. Firstly, it obscures an invisible form of land dispossession in which people still maintain control of their land but its use value is damaged by pollution. This kind of indirect land dispossession could lead to expulsion, not due to the direct loss of control over land but by it being rendered useless by pollution.” Li and Pan, 2021, p 409). 

 This text employs a case study approach to characterize how villagers in a village in China have been displaced “in-place” as a result of new industrial activities within the area  (all specific details have been hidden within the publication, wherein the names of villager groups and the site of study itself is referenced only by coded letters). The scale of analysis primarily centers at the village level, though analysis of the case study itself extends towards the country level specifically when analysis of state actors are involved. 

Authors Hua Li and Lu Pan are scholars from China. Li is  affiliated with the College of Humanities and Law at Taiyuan University of Technology, wherein her research focuses specifically on water politics, environmental justice, and rural development and agrarian change. Pan is affiliated with the College of Humanities and Development at China Agricultural University. Her research interests include marginalized communities, rural development, and agrarian change.