Explicit Spatial-Temporal Simulation of a Rare Disease
Authors
Ling Bian1, T Whalen, M Cohen, Y. Huang, G. Lee, E. Lim, L. Mao, Y. Yan
1State University of New York, Buffalo
Corresponding Author
Ling Bian
Available Online December 2008.
- DOI
- 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.
- Copyright
- © 2008, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
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 - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008) PB - Atlantis Press SP - 79 EP - 84 SN - 1951-6851 UR - https://doi.org/10.2991/jcis.2008.13 DO - 10.2991/jcis.2008.13 ID - Bian2008/12 ER -