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2016 MIDAS Network Meeting

midas network meeting 2016

The University of Pittsburgh MIDAS Center for Excellence participated in the May 23-24, 2016 MIDAS Network Meeting in Reston, Virginia with four presentations and four posters. MIDAS investigators representing the Pitt Center of Excellence were: Donald Burke, PI, Mark Roberts, John Grefenstette, Wilbert van Panhuis, Derek Cummings (University of Florida), Logan Brooks and Roni Rosenfeld (Carnegie Mellon University), Jeanine Buchanich, and Hasan Guclu.

ages and stages poster

MIDAS uses ABM to examine if population structure is sufficient to generate area-level inequalities in influenza rates

RR adults

In New Haven County (NHC), CT, influenza hospitalization rates have been shown to increase with census tract poverty in multiple influenza seasons. In what is, to our knowledge, the first use of simulation models to examine the causes of differential poverty-related influenza rates, researchers in the Public Health Dynamics Laboratory used agent-based models with a census-informed, realistic representation of household size, age-structure, population density in NHC census tracts, and contact rates in workplaces, schools, households, and neighborhoods, and measured poverty-related differential influenza attack rates over the course of an epidemic. Simulated attack rates among adults increased with census tract poverty level. The study detected a steeper, earlier influenza rate increase in high-poverty census tracts, a finding that was corroborated with a temporal analysis of NHC surveillance data during the 2009 H1N1 pandemic. The ratio of the simulated adult AR in the highest- to lowest-poverty tracts was 33% of the ratio observed in surveillance data, leaving 67% of the inequality to be explained by other factors. Future models should quantify the capacity of individual behavioral and biological factors to generate influenza inequalities thus allowing us to prioritize interventions aimed at factors with the greatest explanatory power.

Read the paper at: http://www.biomedcentral.com/1471-2458/15/947

MIDAS’ David Galloway of the University of Pittsburgh presents Graph Databases featuring Neo4j

DaveWhen: 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.

Read more: MIDAS’ David Galloway of the University of Pittsburgh presents Graph Databases featuring Neo4j

FRED featured in Pennsylvania Physician SUMMER 2015 magazine

male clinician dressed in scrubs using a stethoscope he’d placed upon the upper left anterior chest of a seated male patient, in order to perform a thoracic auscultationThis feature spreads the word among physicians who may be looking for ways to help explain to their patients why immunization rates need to be and remain high.

See the article on Page 16.

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