• Journal: Personal blog
  • Date: April 7, 2014
  • Category: Visualization & Software


Greg Ricker wrote a blog series in Spatial Information Science and Engineering using Project Tycho data to create a Graph Database. The author used the Project Tycho API to analyze datasets for influenza, rubella, cholera, malaria, mumnps, measles, smallpox, and Yellow Fever.


Greg Ricker

Related Project Tycho Datasets

United States of America - Cholera
United States of America - Influenza
United States of America - Malaria
United States of America - Mumps
United States of America - Rubella
United States of America - Smallpox
United States of America - Yellow Fever


In the Fall of 2013 the University of Pittsburgh published a great store of public health data. The data includes cases (and deaths) of reported diseases for the United States as far back as 1888.

Events: cases and deaths
Diseases: 47
Locations: 50 states, and 1287 cities
Covered Years: 1888 to 2013

I am interested in how public health information can be used to better manage outbreaks and vaccinations. This seemed like a great resource to dive into. The website offers the ability to query various aspects of the data set. Queries such as searching for cases by disease and state, or deaths from disease by state or city. I wanted to be able to look at the data from a spatial relationship point of view. To do this I needed the data in a different format. Using the graph database, Neo4j, immediately came to mind. Graphs are about relationships and this data fits that very well.

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