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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).

“Under a 1986 federal law titled the Emergency Medical Treatment and Labor Act (EMTALA), hospitals are required to treat people who come to the ED presenting with an emergency medical condition, defined as a condition that, without treatment, will likely lead to serious impairment or death. … EMTALA is one of the largest federal mandates to provide services to have gone unfunded (Friedman 2011); costs instead fall on states and local health care systems.” 481

“In bringing ethnographic attention to hot spotting as a technique of governance, we find that it provides lifesaving humanitarian interventions while operating within the racialized structures of violence that produce continual life crises. The institutional rationality of hotspotting and the encounters of care that it produces illustrate the often-contradictory role of medicine in the lives of poor people: both caring and coercive, it intertwines care and violence.” 475; “we conclude by suggesting that economic investment and return are becoming a reigning logic in the governance of poverty, generating hot spots as sites of interest for both policing and health care and decentering normative assessments of deviance, illness, and social problems” 476; “Neoliberal social assistance, as it is practiced in the health care safety net, is conceptualized as an “investment “in the population, as a strategic and targeted deployment of basic resources, one that promises to generate a return on investment for the state or health system in the form of cost savings.“ 485

 The authors examine the practice of “hot spotting,” a form of surveillance and intervention through which health care systems in the US intensively direct health and social services towards high-cost patients.  Health care hot spotting is seen as a way to improve population health while also reducing financial expenditures on healthcare for impoverished people. The authors argue that argue that ultimately hot spotting targets zones of racialized urban poverty—the same neighborhoods and individuals that have long been targeted by the police. These practices produce “a convergence of caring and punitive strategies of governance” (474). The boundaries between the spaces of healthcare and policing have shifted as a “financialized logic of governance has come to dominate both health and criminal justice” (474).