11th Joint International Conference on Information Sciences

Issues in Microbial Risk Assessment

Authors
M. Cohen 0, T. Taylor, Jr. T. Whalen
Corresponding Author
M. Cohen
0Frontline Foundation
Available Online December 2008.
DOI
https://doi.org/10.2991/jcis.2008.14How to use a DOI?
Keywords
microbial risk assessment, modeling, acceptable risks, , possibility theory, agent-based-explicit spatial-temporal simulation, worst-case, maximum possible risk
Abstract
Microbial risk assessment is the quantita-tive (or qualitative) characterization of the potential health effects of a particular mi-croorganism on individuals or populations. Practical public health policy/decisions to-day requires rethinking traditional ap-proaches in how microbial risk assessments are conducted As defined here, alternative approaches include those based on possi-bility theory, agent-based explicit spatial-temporal simulation and maximum possi-ble risk analysis built on counterfactual as-sumptions.
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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.2008.14How 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  - M. Cohen
AU  - T. Taylor
AU  - Jr. T. Whalen
PY  - 2008/12
DA  - 2008/12
TI  - Issues in Microbial Risk Assessment
BT  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.14
DO  - https://doi.org/10.2991/jcis.2008.14
ID  - Cohen2008/12
ER  -