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New Grants to Model the Spread of Infectious Disease

The University of Pittsburgh’s MIDAS Center of Excellence has been renewed for another 5-year cycle. Our Center of Excellence is one of 14 research groups comprising the MIDAS network.

Read more on the NIGMS website

Pittsburgh students trained in FRED study Ebola transmission

FRED navigatorThe University of Pittsburgh MIDAS Center of Excellence trained high school students in agent-based modeling of influenza. Later, they built on their foundational knowledge of computational modeling of infectious dieases to participate in Ebola prevention activities.

Read the Pittsburgh Post-Gazette article for their efforts.

ASPPH Presents Webinar: A Vision for the Acceleration of Global Health Data for Science and Policy

ASPPH logoASPPH will host the first webinar in the 2014-2015 "ASPPH Presents" webinar series, A Vision for the Acceleration of Global Health Data for Science and Policy, on Thursday, October 16, 3:30 – 4:30 p.m. Eastern, featuring Dr. Wilbert van Panhuis, assistant professor of epidemiology at the University of Pittsburgh Graduate School of Public Health. This webinar, sponsored by the ASPPH Global Health Committee, will discuss the importance of using routinely collected public health data to inform public health science and policy and will present one model for such data sharing and use. The "ASPPH Presents" webinar series is provided as a benefit to CEPH-accredited ASPPH member schools and programs of public health.

Read more & register

Project Tycho™ Bridges Statisticians and Public Health Practice Professionals in Disease Surveillance

Project Tycho logoIn August, MIDAS’ Dr. Wilbert van Panhuis presented a session at the 2014 Joint Statistical Meetings in Boston, MA. With his invited co-panelists and co-authors, van Panhuis presented “Bridging Statisticians with Public Health Practice Professionals in Disease Surveillance.” The session addressed the lack of agreement among the disease surveillance community on preferred technical methods for public health data monitoring. The authors specified problems routinely facing public health professionals and suggested methods to facilitate sharing of data and solution methods (e.g. Use case needs include data quality checking, anomaly detection, disaster and special event surveillance, and follow-up investigation). Speakers discussed problems generated by monitoring agencies and also datasets for use by the research community. The session featured the Univ. Pittsburgh School of Public Health's Project Tycho, created "to help launch a movement for open access to spatially and temporally granular public health data from around the world." Dataset generation methods including simulation and perturbation methods were also discussed along with use case problem challenges.

 

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