Autoethnography of Industry
AKPdLThe environmental legacies left behind by industrial production are pervasive in the air, the soil, and the water. This elemental elixer surrounds us.
In the field of STS, it is perhaps obvious to suggest that institutions have cultures, norms, standards, and professional ways of being. Yet, what are we to make of the results of industry telling its own past publically. The corporate origin story could be a footnote in Joseph's Campbells work. The allure of the lone individual working tirelessly until an innovation is produced and the market takes over.
Yet, the Wood River Refinery tells a different story. One about place, about people, about the terrible minutia of life lived within bureaucracy. Yes, the story told is glossy and teleological, but the question emerges. What can be learned about the stories industry tells about itself? What do these artifacts contribute to histories and what weight do we give to these stories within the Anthropocene?
The factory at Wood River is both a place where labor is maximized for profit, but also where worker devote 40 precious hours of their week. Lives persist and even thrive in the factory. Are the stories of these lives at Wood River?
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ciera.williamsThis study examined the risk of acquiring Ebola Virus Disease (EVD) by healthcare workers in the setting of general hospitals and isolation units. By looking retrospectively at the Ebola Outbreak in Sierra Leone, the relative levels of risk to healthcare workers were computed and compared. The reasoning for these levels was also examined through interviews of surviving workers and the families/associates/colleagues of the deceased workers. The interviews reviewed common actions (and lack there of) for affected workers. This revealed certain themes that should be visited when reveising/creating hospital infection prevention and control policies.
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ciera.williamsIn the case of this study, the vulnerable population examined was healthcare workers in Sierra Leone during the outbreak. These workers were found to be at a significant level of risk for transmission for a number of reasons. These include proximity to the virus (due to the occupation), lack of training in the area of infection control, and cultural factors (such as prevalence of self-medication and home management of illness). Nurses as a whole were most affected, with over half of the infected members.
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ciera.williamsThe 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.
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ciera.williamsThe study was published in BMC Infectious Diseases, a peer-reviewed journal on the prevention, diagnoisis, and management of infectious disease. The journal seems to be genrally well respected.
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ciera.williamsThis was a retrospective study. While not the most accurate and well supported way to conduct a study, due to the effects of recall bias, it was really the only way to gain the data that was presented in the report. There isn't really anything new about the style of research.
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ciera.williamsAt least one further study has been conducted using this data. A more focussed paper on the Kenema District in Sierra Leone was written, addressing the staggering number of cases with infected healthcare workers. The paper is titled "Facors Underlying Ebola Virus Infection Among healthcare Workers, Kenema, Sierra Leone, 2014-2015." The paper reached similar conlusions as the original one, with a need for better practices in infection control and prevention.
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ciera.williamsThe study was funded by the WHO Country Office for Sierra leone.