BioWar: scalable agent-based model of bioattacks

Carley, Kathleen M.; Fridsma, Douglas B.; Casman, Elizabeth A.; Yahja, Alex; Altman, Neal; Chen, Li-Chiou; Kaminsky, Boris; Nave, Démian

doi:10.1109/tsmca.2005.851291

Cited by 172 publications

(99 citation statements)

References 25 publications

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“…Agent-based epidemic and pandemic models incorporate spatial and network topologies to model people's realistic activity and contact patterns (Carley et al, 2006;Epstein et al, 2007). The focus is on understanding tipping point conditions that might lead to an epidemic and identifying possible mitigation measures.…”

Section: Applications Overviewmentioning

confidence: 99%

“…Applications range from modelling agent behaviour in the stock market (Arthur et al, 1997) and supply chains (Macal, 2004a) to predicting the spread of epidemics (Bagni et al, 2002) and the threat of bio-warfare (Carley et al, 2006), from modelling the adaptive immune system (Folcik et al, 2007) to understanding consumer purchasing behaviour (North et al, 2009), from understanding the fall of ancient civilizations (Kohler et al, 2005) to modelling the engagement of forces on the battlefield (Moffat et al, 2006) or at sea (Hill et al, 2006), and many others. Some of these applications are small but elegant models, which include only the essential details of a system, and are aimed at developing insights into a social process or behaviour.…”

Section: Introductionmentioning

confidence: 99%

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Tutorial on agent-based modelling and simulation

Macal

North

2010

Journal of Simulation

1,226

605

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Agent-based modelling and simulation (ABMS) is a relatively new approach to modelling systems composed of autonomous, interacting agents. Agent-based modelling is a way to model the dynamics of complex systems and complex adaptive systems. Such systems often self-organize themselves and create emergent order. Agent-based models also include models of behaviour (human or otherwise) and are used to observe the collective effects of agent behaviours and interactions. The development of agent modelling tools, the availability of micro-data, and advances in computation have made possible a growing number of agent-based applications across a variety of domains and disciplines. This article provides a brief introduction to ABMS, illustrates the main concepts and foundations, discusses some recent applications across a variety of disciplines, and identifies methods and toolkits for developing agent models.

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Section: Applications Overviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Tutorial on agent-based modelling and simulation

Macal

North

2010

Journal of Simulation

1,226

605

View full text Add to dashboard Cite

show abstract

“…The USA and other Western countries are far ahead in this field, and a variety of management platforms for biosurveillance and early warning systems have been put into use and are being continuously improved, thereby representing the development trend of platforms for biothreat emergency management and comprehensive command. Such systems include HPAC, EpiSimS, BioWar, GLEaMviz, NARAC, ARGOS, and others [11][12][13]. These platforms, crucial technical equipment with high technological sensitivity, which Western countries will not supply to China, are largely developed under the leadership of the military or security agencies.…”

Section: The Central Role Of the Surveillance And Early Warning Platfmentioning

confidence: 99%

Review on Biosurveillance and Early Warning Capabilities in the United States and Other Developed Countries

2017

Chinese Journal of Engineering Science

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Surveillance and early warning are key aspects of a country's biosecurity capability. In this paper, we investigate the overall status of the USA and other countries' research and development regarding their own capabilities for biosurveillance. We make several recommendations to strengthen China's biosurveillance capability, including strategic planning, mechanism reform, personnel training, and infrastructure platform construction. In addition, we comment on strengthening the supporting role of science and technology.

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“…By modelling the correlations between individuals, it is possible to understand the role of spatial heterogeneity in spreading dynamics. Different ABS models have been developed in order to depict the spatial behaviour of diverse infectious diseases through structured and realistic urban networks (Patlolla et al, 2004;Eidelson et al, 2004;Carley et al, 2006).…”

Section: Proximity-based Modelling In Healthcare: Why Abs?mentioning

confidence: 99%

Proximity-based modelling of cross-contamination through agent-based simulation: a feasibility study

et al. 2013

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Proximity-based modelling methodology enables mathematical representation of a real system that is characterised by the existence of entities that come into physical contact. Healthcare systems can benefit from this methodology since physical proximity between entities (e.g., patients, clinical items like surgical equipment and blood units) can result in the spread of infectious diseases and cross-contamination. The existing analytical techniques, which are mainly based on differential equations, are unsuitable for representing the fine-grained, micro-world view of the entity interactions that we intend to model. We therefore extend Agent-Based Simulation (ABS) by enabling individual agents to be aware of the physical location of the other agents being modelled in a 3-Dimensional space -this is a perquisite for our proximitybased modelling methodology. To demonstrate the feasibility of our approach we experiment with a scenario wherein boxes of degradable clinical items, modelled as agents, are stored in close proximity. We use Cutting and Packing Optimisation (CPO) algorithms from literature to define the arrangement of these agents in the 3-D space and to make the individual agents "location-aware". An ABS model then simulates crosscontamination by modelling the spread of contaminants amongst the agents confined in the well-defined space. Our approach can be used to model analogous situations wherein physical proximity between entities in the underlying system is a necessary condition for entity interactions.

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BioWar: scalable agent-based model of bioattacks

Cited by 172 publications

References 25 publications

Tutorial on agent-based modelling and simulation

Tutorial on agent-based modelling and simulation

Review on Biosurveillance and Early Warning Capabilities in the United States and Other Developed Countries

Proximity-based modelling of cross-contamination through agent-based simulation: a feasibility study

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