Funded by the National Institute of General Medical Sciences at the NIH, MIDAS is a collaborative network of research scientists who use computational, statistical, and mathematical models to understand infectious disease dynamics and thereby assist the nation to prepare for, detect, and respond to infectious disease threats. Please explore our website to learn more.
MIDAS’ David Galloway of the University of Pittsburgh presents Graph Databases featuring Neo4j
When: Wednesday, September 16 at 2:00PM Eastern time
What: Dave Galloway will discuss what a graph database is and how it differs from a relational database or a document store database. He will show some examples of graph data and some even more specific examples of it pertaining to infectious disease. He will use Neo4j to show a specific example of a graph database and will use their query language, Cypher, to utilize the database. This discussion is part of an ongoing series of talks targeted toward and given by members of the MISSION 2.0 (MIDAS Software Sharing and Information Outreach Network) group.
MIDAS research supports childhood vaccinations to protect the entire population
Dr. Mark S. Roberts, MIDAS researcher, comments on individual rights and the greater good in regards to vaccination. Read More
MIDAS Summer Student and Researchers Present Flu Work at Epidemiology Conference
Kaitlin Piper, a 2014 MIDAS Summer Research program fellow, will present a poster at the Society of Epidemiologic Research 48th Annual Meeting in Denver. An undergraduate at Pitt, Kaitlin contributed to a poster with Drs. Supriya Kumar and John J. Grefenstette. The poster, "Is population structure sufficient to generate area-level inequalities in influenza rates? An examination using agent-based models" will be presented on Thursday, June 18th in the evening.
For more information on the annual meeting, please visit https://epiresearch.org/annual-meeting/2015-meeting/