NDLI: Plenary lecture: innovative modeling approaches applicable to risk assessments.

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Plenary lecture: innovative modeling approaches applicable to risk assessments.

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Year: 2011 Volume: 28 Issue: 3

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Year: 2011 Volume: 28 Issue: 1

Year: 2010 Volume: 27

Year: 2009 Volume: 26

Year: 2008 Volume: 25

Plenary lecture: innovative modeling approaches applicable to risk assessments.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Oscar, T. P.
Description	Country affiliation: United States Author Affiliation: Oscar TP ( US Department of Agriculture, Agricultural Research Service, Microbial Food Safety Research Unit, Center for Food Science and Technology University of Maryland, Eastern Shore, Princess Anne, MD 21853, USA. thomas.oscar@ars.usda.gov)
Abstract	Proper identification of safe and unsafe food at the processing plant is important for maximizing the public health benefit of food by ensuring both its consumption and safety. Risk assessment is a holistic approach to food safety that consists of four steps: 1) hazard identification; 2) exposure assessment; 3) hazard characterization; and 4) risk characterization. Risk assessments are modeled by mapping the risk pathway as a series of unit operations and associated pathogen events and then using probability distributions and a random sampling method to simulate the rare, random, variable and uncertain nature of pathogen events in the risk pathway. To model pathogen events, a rare event modeling approach is used that links a discrete distribution for incidence of the pathogen event with a continuous distribution for extent of the pathogen event. When applied to risk assessment, rare event modeling leads to the conclusion that the most highly contaminated food at the processing plant does not necessarily pose the highest risk to public health because of differences in post-processing risk factors among distribution channels and consumer populations. Predictive microbiology models for individual pathogen events can be integrated with risk assessment models using the rare event modeling method.
File Format	HTM / HTML
ISSN	07400020
Issue Number	4
Journal	Food Microbiology
Volume Number	28
e-ISSN	10959998
Language	English
Publisher	Elsevier
Publisher Date	2011-06-01
Publisher Place	Great Britain (UK)
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Discipline Microbiology Discipline Nutritional Sciences Food Microbiology Methods Public Health Risk Assessment Models, Biological Lectures
Content Type	Text
Resource Type	Article
Subject	Microbiology Food Science

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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