11th Joint International Conference on Information Sciences

Explicit Spatial-Temporal Simulation of a Rare Disease

Authors
Ling Bian 0, T Whalen, M Cohen, Y. Huang, G. Lee, E. Lim, L. Mao, Y. Yan
Corresponding Author
Ling Bian
0State University of New York, Buffalo
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.13How to use a DOI?
Keywords
Rare events, counterfactuals, geographic information systems, spatio-tempral models
Abstract
This paper reports on the use of possibility theory and agent based explicit spatio-temporal simulation to compare the effects on each of three real communities given the assumption that a rare disease is carried out of a hypothetical high containment biological research laboratory sited in that community. The initial event has nonzero possibility but its probability is not well measurably different from zero. The conditional distributions obtained by making this event an input to the simulation resemble "counterfactual conditionals" that can provide useful information about the relative technical and social desirability of alternative sites even though a conventional risk assessment is not possible.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.13How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ling Bian
AU  - T Whalen
AU  - M Cohen
AU  - Y. Huang
AU  - G. Lee
AU  - E. Lim
AU  - L. Mao
AU  - Y. Yan
PY  - 2008/12
DA  - 2008/12
TI  - Explicit Spatial-Temporal Simulation of a Rare Disease
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.13
DO  - https://doi.org/10.2991/jcis.2008.13
ID  - Bian2008/12
ER  -