Analyze

Despite the current level of development of communications, which has managed to connect distant geographies in high quality of image and sound, the possibility of traveling and seeing people and places is still an amazing experience. It is therefore not surprising that, despite the crisis that the aviation and tourism industry experienced during the COVID-19 pandemic, the number of flights has increased today. However, these trends are in contrast to the climate crisis scenario in which air mobility appears as one of the main contributors to greenhouse gas emissions. It is therefore worth asking, what factors sustain this scenario and invite us to continue to prefer aircraft as a means of transportation? While the reasons for traveling are multiple, there is one central element: the fascination that exists behind travel. This fascination seems to be a constituent part of the human being, driven by the desire to overcome our limitations and soar through the skies in search of new latitudes. But this fascination is also driven through a collective imaginary that has been built and sustained, starting with the story of Icarus and Daedalus, and continued with countless references in popular culture that make us look to the skies and let ourselves be carried away by those desires to have wings and fly. Something that is even deeper in a country like Chile and in a city like Santiago, so far from the rest of the world and flanked by the Andes Mountains, where flying seems to be the only way to expand our borders. It is this imaginary, which seems to raise few controversies in the country, that faces the future that the aviation industry offers us, one that promises to populate our skies with different types of flying artifacts, in an image that however does not seem alien, since it has been fueled by science fiction, becoming established as the obvious path to follow. In the face of this scenario, one of the biggest questions that arises is how this reconfiguration of the skies that the aviation industry promises will be inserted within a climate crisis scenario like the one we live in, in which phenomena such as the change in the migratory patterns of birds appears as a real danger to this imaginary and that already worries the world of aviation. These are the questions that hide an imaginary as powerful as the one that the image I have chosen suggests, and in whose development Chile and its hydrogen have a lot to say and a lot to reflect on. 

Catalán Hidalgo, René. 2023. "(Mis)controlling the Atmosphere: Aeromobility-Meteorology Symbiosis, Implications and Unforeseen Consequences." In 4S Paraconference X EiJ: Building a Global Record, curated by Misria Shaik Ali, Kim Fortun, Phillip Baum and Prerna Srigyan. Annual Meeting of the Society of Social Studies of Science. Honolulu, Hawai'i, Nov 8-11.

“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).