Reading Data Sets
Digital collection of annotated data sets.
COVID-19 Data Group Analytics
This is a list of analytics by the COVID-19 Data Group.
COVID 19 & Data Working Group Update: November 6, 2020
Research update by the COVID-19 Data Working Group.
Luísa Reis-Castro: mosquitoes, race, and class
LuisaReisCastroAs a researcher, I’m interested in the political, ecological, and cultural debates around mosquito-borne diseases and the solutions proposed to mitigate them.
When we received the task, my first impulse was to investigate about the contemporary effects of anthropogenic climate change in mosquito-borne diseases in New Orleans. But I was afraid to make the same mistake that I did in my PhD research. I wrote my PhD proposal while based in the US, more specifically in New England, during the Zika epidemic, and proposed to understand how scientists were studying ecological climate change and mosquitoes in Brazil. However, once I arrived in the country the political climate was a much more pressing issue, with the dismantling of health and scientific institutions.
Thus, after our meeting yesterday, and Jason Ludwig’s reminder that the theme of our Field Campus is the plantation, I decided to focus on how it related to mosquitoes in New Orleans.
The Aedes aegypti mosquito and the yellow fever virus it can transmit are imbricated in the violent histories of settler-colonialism and slavery that define the plantation economy. The mosquito and the virus arrived in the Americas in the same ships that brought enslaved peoples from Africa. The city of New Orleans had its first yellow fever epidemic in 1796, with frequent epidemics happening between 1817 and 1905. What caused New Orleans to be the “City of the Dead,” as Kristin Gupta has indicated, was yellow fever. However, as historian Urmi Engineer Willoughby points out, the slave trade cannot explain alone the spread and persistance of the disease in the region: "Alterations to the landscape, combined with demographic changes resulting from the rise of sugar production, slavery, and urban growth all contributed to the region’s development as a yellow fever zone." For example, sugar cultivation created ideal conditions for mosquito proliferation because of the extensive landscape alteration and ecological instabilities, including heavy deforestation and the construction of drainage ditches and canals.
Historian Kathryn Olivarius examines how for whites "acclimatization" to the disease played a role in hierarchies with “acclimated” (immune) people at the top and a great mass of “unacclimated” (non-immune) people and how for black enslaved people "who were embodied capital, immunity enhanced the value and safety of that capital for their white owners, strengthening the set of racialized assumptions about the black body bolstering racial slavery."
As I continue to think through these topics, I wonder how both the historical materialities of the plantation and the contemporary anthropogenic changes might be influencing mosquito-borne diseases in New Orleans nowadays? And more, how the regions’ histories of race and class might still be shaping the effects of these diseases and how debates about them are framed?
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maryclare.crochiereThere are many citations, but the reference pages are not included, so it is not known what exactly the citations are, perhaps research papers or studies.
Many examples of responses to outbreaks are studied, and how regualtions stemmed from each outbreak, whether in animals, food industry, or vaccinations.
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maryclare.crochiereThe school parent was interesting - explaining that the public image of resiliance was paid for by the lungs of the children being sent back into the uncleaned schools.
The person in charge of sending out the EPA press releases (and heavily editing them) had previously fought against the EPA for large companies.
The doctors eventually noticed the issues and tried to get more of the first responders evaluated and treated.
The first responders that risked their lives saving others now can't get fair treatment or benefits to help recover. They want to work but can't.
They needed to testify that they were on the scene in front of a judge to get benefits.
This is a COVID-19 data set/dashboard collected by researchers at Seoul National University.