Tag: big data

In case you missed it, last week we were proud to host five posts from Tom Ewing’s Data in Social Context class at Virginia Tech. Each post was written by a group of students who selected and researched a topic centered on tuberculosis and public health data in the United States around the beginning of the twentieth century. The data they used came from the Medical Heritage Library collections and we were privileged to talk to the students via Skype and be able to work with them on their drafts.

The posts are collected here for ease of reference — we highly recommend all of them! Continue reading

Today we are pleased to feature five guest posts from Tom Ewing’s Virginia Tech Introduction to Data in Social Context class! This final post is from E. Thomas Ewing and Nicholas Bolin.

The social impact of tuberculosis in the late nineteenth century was distinguished by the relatively high mortality rate among adult populations. This social impact can be graphically illustrated in a chart showing the relative number of deaths over a six year period in the city of Philadelphia due to the ten most common causes for the adult population, aged 20-50 years. Of these causes, tuberculosis accounts for nearly half — or the same number of the other nine causes combined. Of the approximately 33,000 adult deaths from all causes in this six year period, tuberculosis accounted for more than one-third (35.8%), more than three times as many deaths as other leading causes (typhoid fever, pneumonia, and accidents and injuries). As this graph suggests, the vital statistics collected and analyzed by government agencies, preserved by medical libraries in published form, and now widely accessible through the Medical Heritage Library in digital form are both an excellent source of data for analysis with modern tools and a basis for thinking about the ways that public officials used statistical analysis to identify health concerns and recommend appropriate policies. Continue reading

Today we are pleased to feature five guest posts from students in Tom Ewing’s Virginia Tech Introduction to Data in Social Context class! This post is from Jack Fleisher, Jae Ha, Joey Hammel.

We chose to explore tuberculosis in California because of a few interesting characteristics. One of these characteristics was the phenomenon of California being seen as a beacon of health and longevity in the late 1800s, and as a result, attracting many individuals sick with tuberculosis thinking that moving there was their best hope to recover and alleviate their disease.  We suspected that this would drive up the tuberculosis rates as the increase in the population of those previously diagnosed would raise the death rate above where it would be for the Californian-born population.   Continue reading

Today we are pleased to feature five guest posts from students in Tom Ewing’s Virginia Tech Introduction to Data in Social Context class! This post is from Brian Yuhas, Claire Ko, Emma Rhodes.

The discussion of socioeconomic factors and their impact on tuberculosis came about as a result of our inadequate knowledge of the disease and our wish to delve deeper into how this disease influenced everyday life in the 1890s. Our research focused on whether economic status had an apparent effect on the deaths that occurred in Boston due to tuberculosis in the late nineteenth century. Did similar population densities have the same tuberculosis rates among different classes? Did wards with higher tax revenue experience higher or lower tuberculosis death rates? Through the 1890s Vital Statistics report for Boston, we were able to come to some conclusions about the correlation between wealth and likelihood of death due to tuberculosis in the city. Continue reading

Today we are pleased to feature five guest posts from students in Tom Ewing’s Virginia Tech Introduction to Data in Social Context class! This post is from Christian Averill, Robbie D’Amato, Nathan Gibson, and Jonathan Silbaugh.

During the nineteenth century, a widespread desire for a cure for tuberculosis prompted intense interest in any claims of a medical breakthrough in diagnosing and treating this disease. When German physician Robert Koch announced in 1882 that he had discovered that the cause of the disease was a bacillus known as M. Tuberculosis, his discovery was widely celebrated as a major medical breakthrough. Eight years later, however, his claims to have discovered a cure for tuberculosis aroused more substantive questions about the veracity of his claims as well as the methods, findings, and analysis advanced to support these claims. This post examines some of the evidence involved in this discussion with the goal of evaluating Koch’s claims relative to standard procedures used now to discover, test, and approve cures. Continue reading

Today we are pleased to feature five guest posts from students in Tom Ewing’s Virginia Tech Introduction to Data in Social Context class! The first is from Allyson Manhart, Andrew Pregnall, and Harshitha Narayanan.

At the beginning of the twentieth century the Treasury Department of the United States classified pulmonary tuberculosis as a “dangerously contagious disease” which meant that any immigrant found to have tuberculosis coming to the United States would be denied entrance. The ban led to a swift reaction from the physicians of the New York Academy of Medicine, many of whom argued that the ban created unnecessary fear of those with tuberculosis. Continue reading