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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 first section of the presentation focuses on the use of artificial intelligence to improve manufacturing and reduce carbon emissions (see 2019 report). Formosa's efforts go back to 2017, when the company was one of five business that each invested NT$30million in the creation of Taiwan’s first AI Academy, initiated by scholars at Academia Sinica (see also Lin 2018). According to the Ministry of Foreign Affairs “[t]he academy has drawn faculty from scholarly institutions ranging from Taiwan’s major universities to foreign research institutes, Academia Sinica and the Industrial Technology Research Institute, as well as from the corporate sphere, with AI managers and entrepreneurs coming in to share their real-world AI experience.” Further, they state that by 2020, FPG had trained over 100 workers through courses offered by the academy.

Slides 37-55 outline FPG's current carbon capture system in Kaoshiung and its future plans for CCS systems in Mailiao, including an experimental system of biodegradable carbon capture. These initiatives, largely through Formosa Smart Energy Corp. also attempt to use AI models to regulate carbon capture for optimal production. 

See slides 40-42 for new initiatives on carbon capture. They list plans to build deep water carbon capture pits, being sited in Yunlin as of 9.2022.

The carbon capture system they have in place at Nanya seems to have reduced the amount of naptha necessary to manufacture butyl ether, a chemical used in solvents and pesticides, through reinjection of that carbon dioxide into source feedstocks (Enhanced Oil Recovery).

“國際碳捕捉技術發展

依據全球碳捕捉與封存研究所(Global CCS Institute, CCSI)最新發布之「2022年全球碳捕捉與

封存發展現況報告(The Global Status Of CCS 2022)」，⾄2022年全球共有30個⼤型CCS綜合

專案已經營運，其中有22個採⾏強制採油技術(Enhanced oil recovery, EOR)，利⽤⼆氧化碳灌

注⾄快枯竭的油氣⽥，獲取更多殘存油氣，以增加效益，其餘8個專案封存於陸地或海洋深層

鹽⽔層，顯示現階段應⽤仍以EOR技術為主，除可減少碳排外，更可增加獲利。

自動翻譯

 Capture Technology Development

According to the "2022 Global Carbon Capture and Storage Storage Development Status Report“ (The Global Status Of CCS 2022), by 2022 there will be 30 large CCS comprehensive

The projects are already in operation, and 22 of them adopt enhanced oil recovery (EOR), using carbon dioxide irrigation. Inject into the depleted oil and gas to obtain more residual oil and gas to increase efficiency, and the remaining 8 projects are sealed in land or deep ocean

The salt water layer shows that the current application is still dominated by EOR technology, which can not only reduce carbon emissions, but also increase profits.” (Slide 38)

Heavy reliance on technosolutions to reach emission reduction and climate goals. Shift from oil as fuel to oil as material. Cooperation between industry, academic, and technical research organizations to research new carbon capture systems. Longevity of the petrochemical industry within climate politics is a high priority for FPG, but also the efficiency of petrochemical inputs. Climate change action is being pursued, but more so in capture of carbon emitted and repurposed within chemical reactions, as opposed to omitted through reductions in production