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Remote Laboratory Management: Respiratory Virus Diagnostics
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Published on: April 6, 2019

A framework for assessing and managing risks posed by emerging diseases.

Terry Walshe1, Mark Burgman

  • 1School of Botany, The University of Melbourne, Victoria, Australia. twalshe@unimelb.edu.au

Risk Analysis : an Official Publication of the Society for Risk Analysis
|November 3, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a transparent risk analysis framework for emerging diseases and invasive species, integrating technical and social judgments. The approach enhances decision-making without requiring new data, improving risk assessment for environmental hazards.

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Area of Science:

  • Risk Analysis
  • Environmental Management
  • Decision Science

Background:

  • Traditional risk assessment frameworks for emerging diseases and invasive species often rely on subjective estimates.
  • There is a need for more transparent and structured methods to evaluate risks and consequences.

Purpose of the Study:

  • To propose a flexible and transparent analytical framework for assessing risks of emerging diseases and invasive species.
  • To integrate technical and social judgments for more robust risk evaluations.
  • To demonstrate the utility of the framework in a real-world management scenario.

Main Methods:

  • Utilized a combination of cognitive maps, Bayesian networks (Bayes nets), and multicriteria analysis.
  • Structured the problem, identified exposure pathways, and combined data with expert judgment.
  • Assessed the consequences of alternative management decisions.

Main Results:

  • The proposed system offers a transparent alternative to unstructured risk estimates.
  • The integrated approach explicitly treats technical and social judgments.
  • The framework can be applied in participatory settings or standard regulatory practice.

Conclusions:

  • The described framework provides a structured and transparent method for analyzing risks associated with emerging diseases and invasive species.
  • This approach enhances the assessment of likelihoods and consequences by integrating diverse forms of judgment.
  • The methodology is applicable to various environmental management and regulatory contexts.