NLM collection items reveal how data has informed scientists’ understanding of Zika and its impact on the health of individuals and communities around the world.
Category: Revealing Data
A series highlighting the diversity of data in the NLM historical collections from a variety of perspectives.
Revealing Data: Charting Pain in 1879
By Krista Stracka ~ Rollin R. Gregg’s Illustrated Repertory of Pains in the Chest, Sides and Back published in 1879, came to the National Library
Data Science in Politics of Yellow Fever: Discovering the Cause of Yellow Fever
By Tannaz Motevalli, Sarah Eilers, Laura Hartman, and Erika Mills In the previous blog post “Data Science in Politics of Yellow Fever: Medical Research Before
Data Science in Politics of Yellow Fever: Medical Research before “Data”
When data is processed and analyzed it becomes actionable information.
Naming, Networks, and Power in Histories of Medicine in Africa
Sarah Runcie, PhD, on her article in the new open-access book Viral Networks: Connecting Digital Humanities and Medical History
Networked History: Developing Quantitative Models of Qualitative Phenomena
Andrew Ruis, PhD, on his article in the new open-access book Viral Networks: Connecting Digital Humanities and Medical History
A Network of Number Doctors: Biostatistics at the NIH
Christopher Phillips, PhD, on his article in the new open-access book Viral Networks: Connecting Digital Humanities and Medical History
Revealing Data: Close Reading and Textual Analysis as Historical Methods
Historical medical journals provide unique perspectives on the development of expert understanding of transmission, morbidity, and impact during an epidemic. Examining the ways that medical
Revealing Data: Measuring Mortality during an Epidemic
Historical medical journals provide unique perspectives on the development of expert understanding of transmission, morbidity, and impact during an epidemic. Examining the ways that medical
Revealing Data: Using Term Frequency to Chart Influenza Reporting
Historical medical journals provide unique perspectives on the development of expert understanding of transmission, morbidity, and impact during an epidemic.