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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).

The Grassroots Global Justice Alliance is an international organization focusing on various kinds of injustices. They have launched various programs, including Global Wellbeing, Grassroots Feminism, Demilitarise and Movement Building, aiming at addressing various types of worldwide justice struggles. 

The Grassroots Global Movement has gathered Climate Justice Alliance, It Takes Roots, People’s Action, and East Michigan Environmental Action Council to build political power for the frontlines communiteis for 2020 and beyond.

The Grassroots Global Justice Alliance is aiming at thriving the green new deal. The core of the work of just transiton from this organizations is the principles mentioned in the green new deal. 

Teach 3.11 was developed to serve students and general public. It allows the public to have more access to different books, teaching material, and research regarding disasters. The website was built in response to the Fukushima disaster of 2011, in order to provide "an educational space for understanding the history, memory, and context of social disasters" (Teach 3.11). The editorial team has members from different countries, reflecting the international collaboration that natural and nuclear disasters require. With it's availability in six different languages, public contribution and comments enabled on articles gives a global platform for discussion and sharing. They are currently accepting papers for their "Terms of Disaster" collection.

This system was built for academia worldwide to study the historical context behind technical and scientific issues related to large-scale disasters. They enhance the knowledge of scholars of where science and technology, history, and Asia meet. The site uses volunteers to translate various resources into English, Japanese, Korean, Bahasa Indonesia, and Chinese so many people can share in the knowledge that others have.

Students, professors, and others in academia appear to use the the site to blog about their experiences in Japan as it relates to diasters.

It appears that the funding for the development came from Nanyang Techonological University in Singapore. The system is maintained and kept current by numerous international volunteers who contribute content.

The data is presented much like on Twitter or Facebook with a timeline showing the most recent information first with a small exerpt of the article and the ability to click on a "read more" button to view the article in full.