An Interactive, Web-Based High Performance Modeling Environment for Computational Epidemiology
Abstract
We present an integrated interactive modeling environment to support public health epidemiology. The environment combines a high resolution individual-based model with a user-friendly Web-based interface that allows analysts to access the models and the analytics backend remotely from a desktop or a mobile device. The environment is based on a loosely coupled service-oriented-architecture that allows analysts to explore various counterfactual scenarios. As the modeling tools for public health epidemiology are getting more sophisticated, it is becoming increasingly difficult for noncomputational scientists to effectively use the systems that incorporate such models. Thus an important design consideration for an integrated modeling environment is to improve ease of use such that experimental simulations can be driven by the users. This is achieved by designing intuitive and user-friendly interfaces that allow users to design and analyze a computational experiment and steer the experiment based on the state of the system.
Document Details
- Document Type
- Pub Defense Publication
- Publication Date
- Jul 01, 2014
- Source ID
- 10.1145/2629692
Entities
People
- Jiangzhuo Chen
- Keith R. Bisset
- Madhav Marathe
- Suruchi Deodhar
- Yifei Ma
Organizations
- Defense Threat Reduction Agency
- Division of Computer and Network Systems
- Lawrence Livermore National Laboratory
- National Institute of General Medical Sciences
- Virginia Tech