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PHDL Participates in SMDM Annual Meeting

SMDM

The 39th Annual North American Meeting of the Society for Medical Decision Making (SMDM) will be held in Pittsburgh, PA, October 22-25, 2017. The focus this year is on “Better Decisions Through Better Data Processes”. The Society for Medical Decision Making has a long history of developing methodologies which take advantage of complex data structures to enhance medical decision making and advance policy formation. The 2017 Annual Meeting will explore themes to ensure the credibility and usability of our Society’s efforts and to promote our vision of an integrated approach to health care decision making, through wise use and thoughtful communication of data.

Several PHDL faculty will participate in teaching short courses, and oral and poster presentations.

New PHDL Scientific Director

PyneSaumyadipta Pyne, PhD, joined the Public Health Dynamics Laboratory on October 1, 2017, as scientific director and will also serve as an associate professor in the Department of Biostatistics, both at the University of Pittsburgh Graduate School of Public Health.

Pyne was previously a professor at the Indian Institute of Public Health, Hyderabad. He formerly held the prestigious post of P.C. Mahalanobis Chair and professor and head of bioinformatics in the C.R. Rao Advanced Institute of Mathematics, Statistics and Computer Science. He is a former senior research fellow of the Indian Statistical Institute. Pyne is the founding chairman of the Computer Society of India’s Special Interest Group on Big Data Analytics and leads the Health Analytics Network.

Pyne received his doctorate from the State University of New York at Stony Brook, working simultaneously in the departments of computer science, and molecular genetics and microbiology. He conducted his postdoctoral research at Broad Institute of MIT and Harvard then worked at the Dana-Farber Cancer Institute, Harvard Medical School. His research interests include big data in life sciences and health informatics, computational statistics, and high-dimensional data modeling. He is actively engaged in promoting big data research and training activities.

CMU Wins CDC Competition Again

Roni RosenfeldFor three years now, Carnegie Mellon University's Delphi-Stat group, under the leadership of Roni Rosenfeld, PhD, has won the U.S. Centers for Disease Control and Prevention's competition in predicting week-to-week influenza activity levels in 10 regions of the nation, along with national totals. "We're gratified that our forecasting methods continue to perform as well as they do, but it's important to remember that epidemiological forecasting remains in its infancy", said Dr. Rosenfeld. The forecasting effort is expected to help health officials better plan for peak periods of infection, while providing the public with more accurate information to avoid getting the flu. Read more: CMU is the world's best at predicting influenza activity.

University of Pittsburgh Presents

Modeling the Opioid Epidemic Workshop

Coming Soon: New Release of FRED

New Release!A new version of FRED (A Framework for Reconstructing Epidemiological Dynamics) will soon be ready for release. FRED is a tool for building epidemiological agent-based (individual-based) models and is designed to study how patterns of health conditions in defined populations vary over time. The new FRED will make population modeling easier. It is a unique tool for social science modeling and no computer programming is needed. A systems thinking approach is required to identify conditions of interest, their states, and the rules for changing states. FRED will simplify the workflow environment and manage the data produced by the simulation. To read more about the new FRED platform, click here.

The Classics

nature coverIn June 2017, Google Scholar released a collection of highly-cited papers in their area of research that have stood the test of time. These Classic Papers were published in 2006 and the list includes the ten most-cited articles, proving that though research is often about the latest findings, some have an impact long after their publication.

We are proud to report that in the field of epidemiology, the Classic Papers list includes a 2006 publication co-authored by Dean Donald Burke, who was at Johns Hopkins University at the time, and others from Johns Hopkins, Imperial College London, and RTI. Not only was the Nature paper "Strategies for mitigating an influenza pandemic" included on the list, it had 1500 citations and was the #1 most cited article in the field of epidemiology!

Congratulations to Dean Burke and his co-authors!

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