Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)

Issues in Microbial Risk Assessment

Authors
M. Cohen1, T. Taylor, Jr. T. Whalen
1Frontline Foundation
Corresponding Author
M. Cohen
Available Online December 2008.
DOI
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.

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/).

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Volume Title
Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
Series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
10.2991/jcis.2008.14
ISSN
1951-6851
DOI
10.2991/jcis.2008.14How to use a DOI?
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  - M. Cohen
AU  - T. Taylor
AU  - Jr. T. Whalen
PY  - 2008/12
DA  - 2008/12
TI  - Issues in Microbial Risk Assessment
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 85
EP  - 87
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.14
DO  - 10.2991/jcis.2008.14
ID  - Cohen2008/12
ER  -