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:

PDF icon 2016 Symposium Brief Agenda

PDF icon 2016 Symposium Program Guide

Presentations Available for Download

  Session File
Day 1 EMOD Workshop Bridenbecker EMOD Basics
Bloedow Advanced EMOD
Day 2 Advances in Applied Math for Complex Systems and Surveillance Brunton SSPOC
Kutz Data driven approaches to dynamical networks
Shae-Brown Assembling response dynamics in_neural populations
Dengue, Chikungunya, Zika, and Aedes aegypti Althouse Assessing The Threat
Reiner The Curious Case of 2010 2011 DENV-2
Seaman GIS and Remote Sensing Applications in Disease Surveillance
HIV Cascade of Care GilbertDimitrovSelinger Projected Effectiveness Of Mass HIV
Malaria Genetics and Parasitology Wenger Using Parasite Genetic Information
Serious Gaming Initiative Oates SGI breakout
Karnik Intro to Serious Gaming
South Resistance Sim
South Resistance Sim videos short
Surveillance Bedford Real Time Surveillance of Virus Evolution
Niemi Stochastic Dynamic Models
Typhoid Feasey Salmonella talk
Day 3 Connecting HIV Networks with Surveillance Data Alaeddini Observability Based Approach to Optimal Design of Networks
Cassels Mathematical Models to Inform Effective Home Use HIV Testing
Mukandavire Evaluating the Impact of HIV
Rutherford A New Method for Estimating HIV Incidence
Enteric Diseases Brouwer The Role of Environmental Processes
Chao Modeling the Effectiveness of Cholera Vaccination
Kraay Determinants of Short Term Movement
Long Casual Models of the Epidemiology of Enteric Pathogen
General Session 3 Eisenburg Environmental Determinants of Infectious Disease
Famulare Systematic Disease Surveillance
General Session 4 Kiware Informatics tools applicable to diverse entomological studies of mosquitoes
IDM Software Bloedow Advanced DTK (no movie)
Malaria Elimination Bever Discovering Chipepo High School
Ferris A Climate Driven Approach to Modeling Mosquito Larval Habitats
Killeen Simple Accessible Illustrative Models
Vaccine Preventable Disease Mercer Spatial Model of Risk Prediction
Winter Rubella Surveillance in Low Resource Settings