WP5: Database interface for risk- benefit assessment Antonella Guzzon, Luca Bucchini (Hylobates). Jouni Tuomisto (THL).

Slides:



Advertisements
Similar presentations
ACROPOLIS WP5 – Integrated Risk Model Hilko van der Voet Biometris, DLO, Wageningen University and Research Centre ACROPOLIS kick-off meeting 7-8 June.
Advertisements

Global Safety Management: Revolution or Evolution? Transitioning to an SMS: Whats Missing?
Chapter 1 Business Driven Technology
Hydrological information systems Svein Taksdal Head of section, Section for Hydroinformatics Hydrology department Norwegian Water Resources and Energy.
“International context and response to draft D5b – a conservation agencies view” PROTECT Workshop, Aix en Provence. 14 May 2008.
CONFERENCE ON “ FOOD ADDITIVES : SAFETY IN USE AND CONSUMER CONCERNS“ JOMO KENYATTA UNIVERSITY OF AGRICULTURE AND TECHNOLOGY NAIROBI, 24 JUNE 2014.
DIETARY EXPOSURE ASSESSMENT of Toxic Chemicals Lecture Material - Food Safety Budi Widianarko - UNIKA SOEGIJAPRANATA.
Technical lessons and improvements to the AWARE code Conference on Product Codes within REACH Gent, 4 and 5 October Pieter van Broekhuizen.
Your head on a block-Part 2A decisions Dr Naomi Earl Associate Director Head of Human Health Risk Assessment Land Quality Atkins Limited
Fundamentals of Information Systems, Second Edition 1 Electronic Commerce and Transaction Processing Systems.
EURIDICE project Evaluation of image database use in online learning environment 11/
Cadmium, environmental exposure, and health outcomes Ben Guo.
Electronic Commerce and Transaction Processing Systems
Web-Enabling the Warehouse Chapter 16. Benefits of Web-Enabling a Data Warehouse Better-informed decision making Lower costs of deployment and management.
WMO UNEP INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE NATIONAL GREENHOUSE GAS INVENTORIES PROGRAMME WMO UNEP IPCC Good Practice Guidance Simon Eggleston Technical.
Computerised Maintenance Management Systems
Call for Scientific Committee and Panel members One page slide.
9 Feb 2004Mikko Mäkinen & Saija Ylönen Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Geneva, 9-11 February 2004, Topic (ii): Metadata.
CVM’s Procedure for Setting Tolerances
Cyber-Infrastructure for Agro-Threats Steve Goddard Computer Science & Engineering University of Nebraska-Lincoln.
List of Substances of the Competent Federal Government and Federal State Authorities Category: Plants and Plant Parts.
Training Session Product File Notes and Registration Reports, 23 October Registration Report: General aspects M. Trybou Federal Public Service of.
Training Session Product File Notes and Registration Reports, 23 October Product File Note Part Residues Frédéric Joris and Bruno Dujardin Federal.
TECHNICAL WRITING October 31 st, With a partner Write simple “step-by-step” instructions for sending a Kakao Talk message with a phone.
U.S. Food and Drug Administration Notice: Archived Document The content in this document is provided on the FDA’s website for reference purposes only.
National Public Health Institute, Finland Beneris (Benefit-risk assessment for food: an iterative value-of-information approach) ‏ Jouni Tuomisto.
Using wiki in Urgenche Jouni Tuomisto, THL. There is help for wikis and Opasnet People are not complaining enough! –Most wiki problems can be easily solved.
Configuration Management (CM)
©2010 John Wiley and Sons Chapter 12 Research Methods in Human-Computer Interaction Chapter 12- Automated Data Collection.
Shared understanding Jouni Tuomisto, THL. Outline What is shared understanding? Main properties Examples of use How does it make things different? Rules.
Advanced EFSA Learning Programme Session 4.2. Situation Analysis Step 6 Estimating Severity of Food Insecurity & Malnutrition.
Decision analysis and risk management: Introduction to course Jouni Tuomisto, THL.
Guide to Using Excel For Basic Statistical Applications To Accompany Business Statistics: A Decision Making Approach, 6th Ed. Chapter 7: Estimating Population.
Module 3 Risk Analysis and its Components. Risk Analysis ● WTO SPS agreement puts emphasis on sound science ● Risk analysis = integrated mechanism to.
Jeopardy Statistics Edition. Terms Calculator Commands Sampling Distributions Confidence Intervals Hypothesis Tests: Proportions Hypothesis Tests: Means.
Risk-benefit assessment for plant food supplements (PFS) Jouni Tuomisto, THL.
Determining Risks to Background Arsenic Using a Margin – of – Exposure Approach Presentation at Society of Risk Analysis, New England Chapter Barbara D.
Software Architecture Evaluation Methodologies Presented By: Anthony Register.
TCF and FCF-Online How can help you generate MI you need to satisfy FSA requirementswww.fcf-online.com.
Dave Fennell, Imperial Oil Resources Overview: This package has been developed to help you create awareness for managers, supervisors, employees and contractors.
1 Modeling and Estimation of Benchmark Dose (BMD) for Binary Response Data Wei Xiong.
Shared understanding Jouni Tuomisto, THL. Outline What is shared understanding? Main properties Examples of use How does it make things different? Rules.
WP2: Cumulative dietary exposure and hazard assessment Bernadette Ossendorp en Polly Boon.
An Overview of the Objectives, Approach, and Components of ComET™ Mr. Paul Price The LifeLine Group All slides and material Copyright protected.
Guide Background Climate mitigation policies in municipalities have global impacts on climate change, but the actual impacts on the municipalities themselves.
Assessing Process Capability: A User’s View Fred Spiring & Smiley Cheng The University of Manitoba & Pollard Banknote Ltd.
Market Research on Global Wheat Germ Oil Industry Trends Survey and Opportunities Report Published: Nov 2015 Single User License: US $2800 Corporate.
Computerised Maintenance Management Systems
Health risk assessment – systemic effects (1) REMINDER OF INHALED DOSE PO intake is 7.2 mg/day 0.12 mg/kg bw/day for a 60-kg adult 2.
A Cyberinfrastructure for Drought Risk Assessment An Application of Geo-Spatial Decision Support to Agriculture Risk Management.
1. USER & CUSTOMER 2.BASING DEVELOPMENT ON SOLID PRINCIPALS AND REUSABLE TECH.
Vitamin and mineral supplements: a risk management model Directive 2002/46/EU harmonizes vitamins and their chemical forms allowed for food supplements.
How computerized immunization information systems can improve Vaccine Stock Management WHO EURO lessons learned Using information and communication technology.
Decision support with online collaborative models Jouni Tuomisto THL, Kuopio.
1. Consumers, Health, Agriculture and Food Executive Agency Risk assessment with regard to food and feed safety Risk analysis Why risk assessment in the.
Federal Land Manager Environmental Database (FED) Overview and Update June 6, 2011 Shawn McClure.
Decision analysis and risk management: Introduction to course Jouni Tuomisto, THL.
Risk CHARACTERIZATION
Decision support with online collaborative models Jouni Tuomisto THL, Kuopio.
A STEP-BY-STEP APPROACH TO INVESTING. By identifying specific financial goals, there’s a much better chance that clients will commit to invest.
Studies on SUCCESSION PLANNING and JOB DESCRIPTION Presenting BY: Amir Hamza Md. Kayes Roll-43.
DOSE-RESPONSE ASSESSMENT
 Give you a free resource  Give you helpful hints how to use the free resource  Make you a little more comfortable at using a school garden as a teaching.
Cost-Volume-Profit Analysis
WP2: Indoor exposure knowledge management system
Outcome of the re-evaluation of aspartame
WP3 - Platform trials and evaluation: Focus groups with students
Problem DC 10-2, Page 547 What is K? The confidence factor
EFSA’s Chemical Hazards Database
VMAD Describe in a few sentences what should be the outcome of the ‘audit/virtual testing/in-use data reporting Audit Confirmation that the manufacturers.
Presentation transcript:

WP5: Database interface for risk- benefit assessment Antonella Guzzon, Luca Bucchini (Hylobates). Jouni Tuomisto (THL).

Overview Background Objectives of the work Compound intake estimator Developmental needs Conclusions

Background Need for safe use of plant food supplements. Science-based understanding and decision- making is the key. – Regulators – Food chain operators – Customers. Quality-assured tools and data banks are needed.

Objectives To develop an Internet-based interface where users can access, combine, by plant and compound, and discuss information for risk- benefit assessment. To make selected case-studies available to the public through Opasnet web workspace. To develop guidance for conducting risk- benefit assessments of plants, extracts, preparations and individual products online.

The product: Compound intake estimator An online tool for estimating concentrations and intakes of various compounds in a PFS product. Some data comes from ePlantLIBRA database. The user may add own data for own calculations.

Products covered Currently, the compound intake estimator contains information about these PFSs: – Cinnamon dried bark essential oil – Bitter fennel essential oil – Fennel fruit – Green tea leaf – Ginkgo leaf – St John’s wort

User interface Fill in form. Click and run model. See code if interested. Default values produce a plausible outcome.

Intake calculations These equations are used to calculate intakes and level of concern: – intake comp (mg /kg /d) = intake (g /d) * conc comp (mg /g) / 60 (kg) – concern indicator comp,i = intake comp (mg /kg /d) / guidance value comp,i (mg /kg /d) * safety factor i comp = index for compounds i = index for indicators

Interface for compound concentrations

Results: compounds in cinnamon

Results: intake concerns

Existing data in the tool: guidance values

Guidance values used In the order of preference: – ADI (acceptable daily intake) – TDI (tolerable daily intake) – BMDL 10 (lower confidence interval for benchmark dose 10 This is often used to calculate MOE = margin of exposure – TTC (threshold for toxicological concern) Based on Cramer classes

Existing data in the tool: product data

Model specifications Probabilistic model using R statistical software. The model is on and can be run from a web page in Opasnet. (MediaWiki) Data comes from a database that has an interface on Opasnet page. (MongoDB) The model code can be copied and run on own computer. (requires R package OpasnetUtils from CRAN) Discussions about the results are possible on the same webpage. Opasnet will be maintained by THL, where it is being actively used by several projects.

Development needs Guidance value data for new compounds would make the tool more versatile. Concentration data exists so far only for PlantLIBRA case products. – However, EFSA has collected data of hundreds of food supplements from 8 countries. This is a potentially useful data source. Currently the concentration data is not publicly available. Opening the data would increase the usability of the tool.

Conclusions Compound intake estimator is a usable tool for increasing understanding of risks and benefits of food supplements. It offers a platform for shared learning and online discussions. However, currently its usability is limited by a fairly small amount of concentration data openly available.

Additional information