Youngyun Chungbaek

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In this paper we describe a multiagent simulation model of human behavior in the aftermath of a hypothetical, large-scale, human-initiated crisis in the center of Washington D.C. Prior studies of this scenario have focused on modeling the physical effects of the attack, such as thermal and blast effects , prompt radiation, and fallout. Casualty and(More)
We present a synthetic information and modeling environment that can allow policy makers to study various counter-factual experiments in the event of a large human-initiated crisis. The specific scenario we consider is a ground detonation caused by an improvised nuclear device in a large urban region. In contrast to earlier work in this area that focuses(More)
OBJECTIVES This research studies the impact of influenza epidemic in the slum and non-slum areas of Delhi, the National Capital Territory of India, by taking proper account of slum demographics and residents' activities, using a highly resolved social contact network of the 13.8 million residents of Delhi. METHODS An SEIR model is used to simulate the(More)
We use a synthetic population model of Washington DC, including residents and transients such as tourists and business travelers, to simulate epidemics of influenza-like illnesses. Assuming that the population is vaccinated at the compliance levels reported by the CDC, we show that additionally implementing a policy that encourages healthy behaviors (such(More)
Despite the recent advancements in graph partitioning techniques and algorithms, achieving static load balancing in agent-based epidemiological applications is challenging. Input to these simulations is a large agent-location bipartite graph that is highly complex and non-uniform. In this paper, we compare several static load distribution schemes, including(More)
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