Suruchi Deodhar

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Realistic agent-based epidemic simulations usually involve a large scale social network containing individual details. The co-evolution of epidemic dynamics and human behavior requires the simulation systems to compute complex real-world interventions. Calls from public health policy makers for executing such simulation studies during a pandemic typically(More)
We describe the design and prototype implementation of INDEMICS (Interactive Epidemic Simulation) — a modeling environment utilizing high-performance computing technologies for supporting complex epidemic simulations. INDEMICS can support policy analysts and epidemiologists interested in planning and control of pandemics. INDEMICS goes beyond traditional(More)
Public health policy decision makers need analytical and interactive features in epidemic simulation systems, along with the ability to simulate disease propagation over large scale populations, ranging over millions of individuals. To fulfill these requirements, we decided to re-engineer existing epidemiological software systems and integrate them together(More)
Modeling environments to study epidemic outbreaks can be used as decision support tools by decision makers to support public health policies. However, although the current high performance simulation engines have become adept at rapidly simulating disease diffusion, computational environments for exploring complex mitigation strategies are fairly(More)
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(More)
Socially coupled systems are comprised of interdependent social, organizational, economic, infrastructure and physical networks. Today's urban regions serve as an excellent example of such systems. People and institutions confront the implications of the increasing scale of information becoming available due to a combination of advances in pervasive(More)
Public health decision makers need access to high resolution situation assessment tools for understanding the extent of various epidemics in different regions of the world. In addition, they need insights into the future course of epidemics by way of forecasts. Such forecasts are essential for planning the allocation of limited resources and for(More)
We describe the design and prototype implementation of I<scp>ndemics</scp> (&lowbar;Interactive; Epi&lowbar;demic; &lowbar;Simulation;)&#8212;a modeling environment utilizing high-performance computing technologies for supporting complex epidemic simulations. I<scp>ndemics</scp> can support policy analysts and epidemiologists interested in planning and(More)
Recent advances in social media and other platforms have facilitated collection of near real-time surveillance data on flu outbreaks. This data can not only be used for assessing the current extent of flu epidemics in different regions, but also to project the propagation of the disease in the near future. We have developed FluCaster, a pervasive and(More)