Benefits of Generalised Microsimulation

Keep, Daniel; Piper, Ian; Green, Anthony

doi:10.1007/978-4-431-55209-3_2

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…The world is modelled using cells and peeps; cells are abstract locations and peeps are abstract entities within those locations. Further details can be found in our previous publications Piper et al, 2010); a more complete description of Simulacron can be found in Keep (2012).…”

Section: Introductionmentioning

confidence: 99%

An investigation of the effectiveness of interdiction regimes against terrorist attacks in an urban transport hub

Keep¹,

Piper²,

Green³

2013

Piantadosi, J., Anderssen, R.S. And Boland J. (Eds) MODSIM2013, 20th International Congress on Modelling and Simulation

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This paper examines the effect of varying attack and interdiction strategies, both alone and in combination, in an urban transport hub. Particular attention is paid to the potential disruption to normal commuter services resulting from an intrusive stop and search regime.The work presented here represents a qualitative investigation in that many parameters relating to the details of the interdiction mechanisms are first-order approximations. However, the background against which the investigation is conducted has been constructed to be as realistic as possible.

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Section: Introductionmentioning

confidence: 99%

An investigation of the effectiveness of interdiction regimes against terrorist attacks in an urban transport hub

Keep¹,

Piper²,

Green³

2013

Piantadosi, J., Anderssen, R.S. And Boland J. (Eds) MODSIM2013, 20th International Congress on Modelling and Simulation

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show abstract

“…In this paper we present development of our microsimulation framework, Simulacron, (Keep, 2012) to multiinfections with a preliminary investigation into the building of a model for studying the impact of multiple biological weapons releases on a population. In the work reported here we have used plague and smallpox as two indicative and plausible (Gordon, 2007) biological weapons.…”

Section: Introductionmentioning

confidence: 99%

Microsimulation study of the release of Pneumonic Plague and Smallpox on a synthetic civilian population

Green

Piper

Keep

2013

Piantadosi, J., Anderssen, R.S. And Boland J. (Eds) MODSIM2013, 20th International Congress on Modelling and Simulation

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The confrontation in Syria during 2013 is an ongoing cause for concern regarding the potential use of chemical and biological weapons. There have been reports of the use of chemical weapons including Sarin (BBC, 2013a) which UN chemical weapons inspectors are investigating (BBC, 2013b). If chemical weapons have been used by either side, then the potential use of biological weapons cannot be disregarded. In addition to stockpiles of chemical weapon (BBC 2013c), Syria is thought to have stockpiles of a number of biological agents including anthrax, plague, tularaemia, botulinium, smallpox and cholera (Gordon, 2007). Some groups sympathetic to Al Qaeda might also have access to some of these through their terrorist networks. Because these weapons can have a substantial impact beyond the immediate conflict zone, there are serious questions about how best to respond efficiently to their use and manage their impacts.One such concern is whether the response to an attack involving a single agent would be the same as when more than one agent is used. There are indications that infectious diseases which promote cytokine response can have a protecting effect on infection with a second disease (Graham et al., 2007, Barton et al, 2007. Plague affects the innate immune system by suppressing cytokine responses (Li et al., 2008) while smallpox activates the cytokine response (Fenner et al, 1988). Such an interaction is therefore possible with smallpox and plague in people who are infected with both diseases. While there are a number of papers on the management of both smallpox and plague (Halloran, (2002), Rani et al, (2004)), there are few, if any, which discuss infection by both agents simultaneously or the likely confounding factors that will affect outcomes in their infection control after the attack. In this paper we explore the application of microsimulation modelling of a simultaneous attack on a civilian population using plague and smallpox as an example of a simultaneous coinfection through its effect on the spread of disease and number of deaths As a basis for analysis, we have developed simulations involving a population of 1250 people based on NSW statistics for households and work. The structure of a community model of social mixing is briefly discussed, over which a multi-infection model is imposed that accounts for varying infectivity in different stages of each disease as well as confinement to home as each disease progresses. A number of simulations were run assuming 10% immunity to both diseases, to establish a baseline for each disease in the community. Further simulations were used to model the delay of the introduction of plague compared to smallpox between 0 and 35 days respectively. The strength of the immunological interaction by smallpox on plague deaths was also investigated. Each scenario was repeated 10 times to assess the variability.Our model showed the outcome is complex as the number of deaths is dependent on the delay in the release of plague and varies according to the number of people progressi...

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Benefits of Generalised Microsimulation

Cited by 2 publications

References 10 publications

An investigation of the effectiveness of interdiction regimes against terrorist attacks in an urban transport hub

An investigation of the effectiveness of interdiction regimes against terrorist attacks in an urban transport hub

Microsimulation study of the release of Pneumonic Plague and Smallpox on a synthetic civilian population

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