COVID19 Places: India
This essay scaffolds a discussion of how COVID19 is unfolding in India. A central question this essay hopes to build towards is: If we examine the ways COVID19 is unfolding in India, does "Ind
This essay scaffolds a discussion of how COVID19 is unfolding in India. A central question this essay hopes to build towards is: If we examine the ways COVID19 is unfolding in India, does "Ind
Based on what I have found thus far regarding narratives surrounding the socioeconomic state of New Orleans, there are two predominant ones I have come across: New Orleans as the “laggard,” the city of play but not work, of poor educational quality, and the other of New Orleans as a "comeback" city shaping to a knowledge-based economy following Hurricane Katrina. The former reminds me of racist stereotypes typically used to describe groups of people deemed not to fit within the white supremacist narrative of progress. The other, post-Hurricane Katrina narrative, is portrayed in the media as a phoenix rising from the ashes, one of the “most rapid and dramatic economic turnarounds in recent American history.” I felt an almost visceral reaction to the assertion of one article that “It would be wrong to say the hurricane destroyed New Orleans public schools, because there was so little worth saving even before the storm hit.” I cannot help but be reminded of “terra nullius,” the “empty land” narrative implemented by colonial powers to seize and control land, dismissing the people residing on the land as insignificant to their broader aim of economic and political dominance. In place of public schools, charter schools are perceived as an improvement—but what of the people who were displaced due to the storm and long to return, yet cannot afford to send their children to a charter school and would be forced to bus their kids across the city? Many people end up not returning to New Orleans as a result. I find it interesting to compare these pre- and post-Hurricane Katrina narratives of New Orleans with the information I find from sources such as this one: a shrinking African American population, fewer young people, less affordable housing, increased segregation, etcetera. What do these demographic changes in the city imply for the “ecosystem” deemed ideal for Innovation hubs? As this article asserts, “New Orleans is making a big name for itself among innovative industries and entrepreneurs and the city’s unique vibe plays a big role in that.” On the other hand, City Councilmember Kristen Palmer asserts that “People have been consistently pushed out…If we lose our people and our culture, we lose our city.” What implication does this “burst” in innovation in New Orleans have for both the Anthropocenics of the city as well as its culture, a culture that is stereotyped as one long “party” with intermittent “emptiness,” as opposed to the realities of the people who have resided in the city for generations, or even the people who moved away after the Hurricane and long to return but to no avail? I am curious to see how education, job training (or lack thereof), and issues of housing feed into the anthropocenics of the city. How do grassroots, social justice and environmentalist activists and organizations (such as this one) perceive the changes in the city following the Hurricane compared to innovation hub technicians and CEOs? How do the social and environmental outcomes of Hurricane Katrina fit within the history of "natural" disasters and climate change in New Orleans? I think it is important to keep articles such as this one central to our focus as we move forward with this project.
I’m interested in how universities, cities, and corporations develop the physical embodiment of the knowledge economy in U.S. city centers in an attempt to foster global connections, and the effect this tends to have on historically black and brown communities. What I find interesting about New Orleans is the manner in which following Hurricane Katrina (which some allege was a human-made disaster), gentrification of the city was spurred on, particularly as predominantly young, white people seeking to work in tech start-ups and corporations moved in to what is deemed yet another potential site for “Innovation.” This made room for corporations and richer residents to move in at the expense of working-class neighborhoods . As council member James Gray argued, “The area desperately needs activity and development…if the city of New Orleans is going to recover, if the Lower Ninth is going to recover- we need development. We cannot turn it away.” I came across an advertisement for an event hosted by INNO that will be held in New Orleans for a “global innovation conference” whereby innovators can “forge the connections that matter.” While I am in the preliminary stages of my research in Houston regarding the Innovation District being built in Midtown Houston, I see astonishing parallels with New Orleans and similar questions arise. Many of the employees at tech companies I have interviewed thus far speak of the notion of the “ecosystem”: the confluence of higher educational institutions, cities, corporations, and start-ups that provides the ideal environment for businesses to thrive and innovation to flourish. However, who is included in this ecosystem and who is left out? What implications (if any) does the use of such environmental terms (ecosystem) to describe innovation economies have for the anthropocene? What does innovation mean and who does it benefit? How do these innovation districts and corridors potentially exacerbate racial inequity in the city, even as they claim to be working for the benefit of all? How do infrastructural neglect and gentrification contribute to health, educational, economic, and environmental disparities, and will innovation in any way seek to address these issues, or merely perpetuate the status quo?
I'm also interested in the narratives that arise surrounding natural disasters, particularly the linear fashion in which events are described. There is a beginning, middle, and end supposedly: but what about before and after, and what about the reoccurence of these disasters? In what ways do these narratives leave out the stories of people who did not get to see the "silver lining" of a disaster? Who did not get to witness the rebuilding of the city? Many of those people moved to Houston and went through another hurricane, Hurricane Harvey. It would be interesting to trace the connections between these two cities.
Finally, in relation to the topic of slavery, I am interested in the surge of conversations surrounding reparations, particularly in New Orleans and Houston in light of the uneven effects of hurricanes on certain populations. I am intrigued both by memorialization of slavery as well as attempts by elected officials such as Representative Sheila Jackson Lee of Houston and celebrities such as Danny Glover to conduct research (bill H.R. 40) on how to compensate for the U.S.'s history and presence of slavery and racism.
The article explains how a team of medical staff treated (and consequently killed) a number of patients following the flooding of a hospital in New Orleans. The staff in question overdosed the patients to put them out of their pain as they saved other patients who were more likely to survive. The article calls into question the process of triage and how we go about it. Who has the authority to make these decisions, and what lines do we draw between ethics and compassion. The article provides a play-by-play of the events leading up to the flooding, and relevant policies that existed and have been created related to this incident.
The author seems to rely strongly on personal experience and belief to make broad statements about the situation following chernobyl. Most of the article is about the author and their experience with the issue, rather than the objective data and observations of others. This makes the arguments seem rather close-minded and almost biased.
The app serves as a platform for medical professionals to share rare cases and conditions they have treated.
This policy is specific to the Bethel Township EMS and Fire Department, but other groups on the US have similar policies. Its a bit of a hot topic.
The program was created in reaction to the disaster at Fukushima-Daiichi, with influence of the lessons learned post-bombing in Hiroshima. Hiroshima University specializes in radiation casualty medicine and works to improve medical care in response to nuclear emergencies. This program was specifically made to generate leaders capable of directing relief efforts while keeping the clear goal of reconstruction post-disaster.
In Baltimore, researchers found that racism and poverty especially affected African Americans without insurance. In order to address this, they removed boundaries to care within the medical system and community so that poor patients could receive the care they needed without economic trouble. Along with this, they also established a system that relied on the community as a whole for care, taking the social stigma away from AIDS/HIV care and building ties as a whole. Within a few years, many disparities disappeared among the studied population.
Another study in rural Haiti was used to develop the PIH model of care. This model relies on an accompagnateur who is trained in drug delivery and supportive care. This allows care to be given within a village, not a clinic, and improves access to care. This model has worked to improve patient care and outcome in Haiti, Peru, and Boston.
In Rwanda, structural violence has perpetuated to transmission of disease from mother to child for decades. Access to resources such as clean water and formula, along with public health agencies promoting the merits of breastfeeding, have made it challenging to address MTCT. However, when researchers asked mothers if they would like these resources, they were eager to receive them and wanted to help in preventing further transmission.
The data acquired in this study can be used not only for improvement in policies and training for healthcare workers, but also to examine the risk factors for the disease. One example is the age and gender disparities in those nfected. These could be explained by the typical age and gender of healthcare workers, but could also show a trend in risk when coupled with patient data. The data on the districts and their infection rates can be used to help pinpoint the origin of infection.