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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).

Zotero, Google Drive, Microsoft Office

Zotero and the STS platform

1. In the different instances of PECE (D-STS/TAF/etc.) are the artifacts/essays you have created in once instance available to cite/share in another? For example, how would you link an essay built for VTP into a TAF-California essay?

2. How to navigate the various levels of restriction remains unclear to me. For example, if I want to share and build an essay with a research partner but the project is not ready for prime time, how do I set restrictions to share work in progress? Is there a way for me to do a quality control tests to see how an essay looks to not-me participants.

3. I want to use PECE to build an annotated bibliography that typically addresses Traweek's 5 key aspects of a reading. Importing the citation to zotero is easy, and typically I would add notes to the zotero file, but if I want a more uniform notetaking and accessible bibliography PECE seems to be a better fit. For any given project how should I go about building a PECE essay that would be consistently allow new citations to be added along with ongoing and layered/laminated annotations?

The authors "define disaster media as a heuristic, or approach, that recognizes the ways “natural” and human-made disasters are communicated about, constructed, and variously exacerbated or relieved through media means. This heuristic is not simply a temporary model for problem solving but tries to account for ecological forces and material conditions" (my emphasis).

They close the article with three provocations:

1) All Media on Deck: the current moment of combo disaster (COVID and climate crisis) requires the production of more public and open access materials (of various kinds), but also boosting of media literacy. The auhtors acknowledge the conundrum of producing more media, while being confronted with sustainability issues and the call for "no-carbon" media.

2) Relief and media Production: a critical look at the kinds of assumptions that governments/NGOs/industry bring to COVID-19 relief efforts (videos, websites, maps, algorithms...) -- what counts as relief and for whom? 

3) Focus on Social and Environmental Justice: "In moving forward, it will be crucial to approach disaster media as a domain in which structural reform agendas that interweave social and environmental justice can flourish."

In the article, the authors address visualizations of COVID cases, including related satellite mages of air pollution in Southern California and China (generated by NASA/ESA) as well as of mass graves in Iran.

First, they provide basic framing of how to critically read air pollution satellite imagery. Connections between COVID-19 measures and improvements in air pollution are not identifiable in a straightforward way.

"Figure 1a, for instance, uses bright magenta to indicate greater concentrations of nitrogen dioxide and light blue to signify cleaner air. However, such color choices can be misleading: there is no material correlation between nitrogen dioxide and the color magenta; and reduced traces of this chemical do not turn the sky a paler shade of blue. [...] color-coding selections imply, satellite images are not just scientific; they are cultural as well."

Second, they point out the paradox role of satellite imagery to account for the inequitable impact of COVID-19

"satellite image, from a US satellite operator, locates pandemic “excesses” in an Iranian “elsewhere.” But this is an increasingly deceptive proposition, given that the United States has one of the highest COVID-19 per capita transmission and fatality rates in the world."

Third, they draw comparisons between the "hockey stick" visualization of global Climate Change and the various "curves" used to display COVID-19 developments:

From a disaster media perspective, the film’s global warming graph depicts a dramatic climate shift, projects imminent catastrophe, and issues a world warning. Its circulation in global media culture for the past fifteen years potentially informs the ways people are engaging now with similar-looking charts of coronavirus death and illness. Historically, news media have relied on sensationalistic photos of human suffering to convey a sense of disaster, but in the age of big data and the current pandemic, numbers speak, and graphs and curves tend to dominate the mediascape. In both cases, scientific experts and publics must grapple with how these graphs make meaning, what datasets they rely upon, and how these media come to stand in for highly complex conditions.

Finally, they remark that COVID-19 visualizations are always incomplete - because of lack of testing and withholding of data - but also because stories of e.g. workers are missing. They reference the cover of the New York Times (May 24, 2020) that displayed the names of 100,000 people who had died from COVID.

The article points out the simulation Crimson Contagion that was run by the Department of Health in 2019.

"Despite all of the pressing unknowns of the disease, one cannot call its emergence unpredictable. A simulation by the US Department of Health and Human Services, code-named Crimson Contagion, ran from January through August 2019. The aim was to prepare for the effects of an influenza pandemic. The findings reportedly “drove home just how underfunded, underprepared and uncoordinated the federal government would be for a life or-death battle with a virus for which no treatment existed” (Sanger et al. 2020)"

They also note the rise in Internet usage, pointing to environmental and energy implications:

"[C]oronavirus capitalism is interwoven with digital capitalism (Schiller 1999; Terranova 2004; Fuchs 2019). The pandemic has prompted a massive rush to online spaces of work and leisure activities. It is estimated that the COVID-19 pandemic has increased total internet use by 70 percent (Beech 2020)."

"Yet with this surge in online activities and virtual gatherings, the COVID-19 crisis has both exacerbated and laid bare the internet’s rising energy dependency, its growing carbon footprint, and issues of energy justice. The challenge is to be able to address crises of various kinds while reducing fossil fuel use especially, and developing sustainable and equitably managed energy sources. There is a burgeoning scholarly literature about the ill effects of the nuclear, petroleum, coal, and hydroelectric energy sources that power the grid and about the environmental devastation their industrial incursions wreak. In the meantime, the impacts of extraction and production of the various energy forms that keep the grid and the internet operating are often toxic and inequitable." 

Finally, they point to the connection between media and health, including civic archiving of HIV activists.

[F]ilm and media scholarship on public health [...] not only serves as crucial context for the COVID-19 pandemic but also extends the conceptual contours of disaster media to include disease and illness, outbreaks and pandemics, and the ways government agencies address or fail to address health-related crises. Alexandra Juhasz’s book AIDS TV (1995) explores community educational initiatives and activist videos that became vital means of conveying information about and perspectives on HIV transmission during the 1980s and '90s and continuing public health crises. Addressing media portrayals of other outbreaks, Kirsten Ostherr’s Cinematic Prophylaxis (2005) critically examines Hollywood films “that represent the spread of contagious disease across national borders.” In it Ostherr argues, “Audiovisual materials play a crucial role in the articulation of world health, not only as vehicles of educational and ideological dissemination, but also as metaphors for the spread of disease within the processes of globalization” (2). Her study sheds light on the current COVID-19 crisis by demonstrating how outbreaks become disaster media.