|When:||Tuesday April 18th – Thursday April 20th|
The 5th Annual Institute for Disease Modeling Symposium will be held April 18th-20th, 2017 at the Hyatt Regency in Bellevue, Washington. Registration for the 2017 Symposium is now closed. For more information, email Symposium@idmod.org.
The overall theme is Seven Deadly Diseases. Session talks and workshops will focus on Malaria, HIV/AIDS, TB, Pneumonia, Typhoid, Cholera, and Measles. Taken together, these seven diseases represent the majority of the annual deaths from infectious diseases. Each year, estimated deaths due to each of these diseases range from 100,000 for some up to over a 1,000,000 for diseases such as HIV and TB. While these diseases have distinct biological mechanisms, pathologies, and modes and networks of transmission, there are useful learnings from the modeling of each that could apply to others. Based on feedback from 2016, we are extending the scientific and breakout discussions to occur on all three days of the symposium.
If you are interested in sponsoring a session, please email
We are proud to announce that the Keynote Session: Emerging Researchers will be funded in part by PLOS Neglected Tropical Diseases. We are grateful for PLOS’ support of our symposium. PLOS (Public Library of Science) is a leading nonprofit Open Access publisher, innovator and advocacy organization dedicated to accelerating progress in science and medicine by leading a transformation in research communication. The PLOS suite of journals – PLOS ONE, PLOS Biology, PLOS Medicine, PLOS Computational Biology, PLOS Genetics, PLOS Neglected Tropical Diseases and PLOS Pathogens – contain rigorously peer-reviewed Open Access research articles from all areas of science and medicine, together with expert commentary and analysis. In addition to its suite of journals, PLOS advances innovations in scientific publishing through collections, collaborations, communities and an award-winning blog network. As a leading Open Access publisher, PLOS pursues a publishing strategy that optimizes the openness and integrity of the publication process by aiming to ensure that research outcomes are discoverable, accessible and available for discussion and that science communication is constructive, transparent and verifiable. PLOS strives to implement policies and innovations that promote reproducibility, credit and accountability, as these priorities support establishment of an Open Science culture, with open data, early sharing of work and clear contributor recognition. PLOS sees the benefit of Open Access content in relation to future advances in machine-readable formats and text and data mining. Founded to catalyze a revolution in scientific publishing by demonstrating the value and feasibility of Open Access publication, PLOS is committed, and uniquely positioned, to innovative and forward-looking solutions to scientific communication.
2016 Disease Modeling Symposium
The 4th Annual Institute for Disease Modeling Symposium was held on April 18th- 20th, 2016 at the Hyatt Regency in Bellevue, Washington. The overall focus of the 2016 Symposium was Disease Surveillance.
April 18th was dedicated to software training sessions focused upon using the EMOD model in a cloud HPC environment as well as a session dedicated to the Computational Modeling Platform Service (COMPS).
April 19th - 20th hosted the scientific sessions. There were general session talks, as well as a variety of topical breakout sessions ranging across malaria, other vector borne diseases, VPDs, typhoid, pneumonia and more, including software workshops.
The overall theme of the 2016 symposium was Disease Surveillance. To date, specialized surveillance networks have been created for polio, influenza, Ebola and other diseases but each of these networks have faced unique challenges that affect response capabilities. Talks at the symposium addressed how current disease surveillance approaches can be improved and how analysis can make better use of current data as well as exploring such questions as: What is the role for improvements in analytical and mathematical methods for surveillance planning, the collection of systematic disease surveillance data, and operational implementation of surveillance networks and diagnostic tools? How should disease surveillance be operationalized to guide elimination efforts? What is the current burden of various diseases and how will these patterns change in response to global health interventions?
IDM 4th Annual Disease Modeling Symposium
The Symposium Agenda is available and can be downloaded here: