Analyze

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.

4/16 The Daily Beast ran this headline:"Scientists Tracked COVID-19 Mutat ions—and the Results Are Terrifying" which links to this Forster study and visualization of phylogenetic network of SARS-CoV-2 genomes sampled from across the world.

4/13 The website FiveThirtyEight published this comic on pandemic modeling to explain the wide disparity of predicted deaths by the CDC and a report from the Imperial College of London: https://fivethirtyeight.com/features/a-comic-strip-tour-of-the-wild-world-of-pandemic-modeling/

NYT reporting of CDC forecast which presented during a conference call and not made public: https://www.nytimes.com/2020/03/13/us/coronavirus-deaths-estimate.html?searchResultPosition=2report

Imperial College London, Report 9: https://www.imperial.ac.uk/media/imperial-college/medicine/mrc-gida/2020-03-16-COVID19-Report-9.pdf

In the College of New Jersey Hurrican Sandy oral history, The oral collected some information about residents affected by Hurricane Sandy in New Jersey. All the stories about the effects of such a hazard include all groups and classes of people, such as poor or rich, young and old, and families and single people. Hurrican Sandy's damages were distributed among all groups of people, by destroying houses, drowning people, and lost of electricity and water for days and months. This oral history shows the different stories and events of all the different groups that were affected really bad in the Hurrican 

Air pollution causes many eye and skin irritation in addition with lung problems resulting in asthma and even cancer. These risks would affect people who live in communities that have high pollution, severely. 

The largest risk at hand would be how the nautral disaster, Hurricane Sandy, affected the beaches of New Jersey, causing some the beaches to lose a significant amount of sand; this becomes a risk because the beaches weren't available to use. The beaches of New Jersey make most of the profit in tourism: the shore gaining $35.5 billion for tourism locations. This became a risk becuase there was money lost during and after the storm, as groups tried to repair the shores. In addition, the cost to repair the shores were extremely costly. Another group that received risks and hazards were the communities near the shores: they had to change their entire lifestyle when the beaches were destroyed after the storm. Those communities had to learn how to live without the beaches' resources and had to get accustomed to not going down to the shores while the beaches were being restored.

In this case, the hazard is distributed differently in the sense of geography because areas near the Eastern shore have had much greater damage rather than ones far away from the Eastern shore.

In this article, it is comparing how polluted Newark is compared to the country mentioning facts such as Newark residents face the nation's second greatest risk due to diesel emissions, the city being the nation's largest trash incinerator in the Northeast, and 25% of the school children in Newark face asthma which is double compared to the nation's average rate. 

Despite air pollution being a problem for every group, this article specifies children as the victims. For example, the author quotes Congressmen Donald M. Payne, Jr saying, "Every single day, children in Newark are exposed to harmful levels of pollution from the port and other sources that rob them of their health, just because of where they live" (Adams). Adams most likely did this to show the severity of this problem by shedding light onto the victims. Air pollution also increases the chances for children developing asthma. Adams writes, "one in four Newark children suffers from asthma, and the hospitalization rate is 150 percent greater for kids living in the city than in the rest of the state, and more than thirty times the rate nationwide."

this diagram shows how different age groups suffer from povert.  as the years in age grow larger, the higher the numbers in poverty.

A sacrifice zone or sacrifice area (often termed a national sacrifice zone or national sacrifice area) is a geographic area that has been permanently impaired by environmental damage or economic disinvestment. These zones are most commonly found in low-income and minority communities. Children that grow up near these areas are more likely to have asthma and other lung issuesd