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An R-Based Landscape Validation of a Competing Risk Model

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How to Assess Data Availability, Accessibility and Format for Risk Analysis?

M-F Humblet¹, S Vandeputte¹, C Mignot¹

¹Research Unit in Epidemiology and Risk Analysis applied to veterinary sciences (UREAR-ULg), Department of Infectious and Parasitic Diseases, Faculty of Veterinary Medicine, University of Liege, Liege, Belgium.

Transboundary and Emerging Diseases

|February 7, 2015

Summary

This summary is machine-generated.

A new methodology improves risk assessment by evaluating data availability, accessibility, and format for diseases like Venezuelan equine encephalomyelitis (VEE) and Echinococcus multilocularis (EM). This systematic approach enhances data quality and transparency for better scientific evaluations.

Keywords:

Venezuelan equine encephalomyelitis alveolar echinococcosis data inventory data quality data sources risk assessment

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Area of Science:

Veterinary epidemiology
Risk assessment methodology
Data science in animal health

Background:

Risk assessments often rely on incomplete data, hindering expert analysis.
Existing data may not meet the full theoretical requirements for comprehensive risk assessments.
Assessing data gaps is crucial for improving the reliability of risk evaluations.

Purpose of the Study:

To develop and apply a methodology for assessing data availability, accessibility, and format for risk assessments.
To evaluate data for two specific diseases: Venezuelan equine encephalomyelitis (VEE) and Echinococcus multilocularis (EM).
To compare data characteristics between diseases and across different European Member States.

Main Methods:

Reviewed 36 EFSA-AHAW Panel opinions to create a generic list of needed data.
Implemented direct surveys (questionnaires, workshops) and indirect surveys (web searches) in selected EU Member States.
Developed a scoring system to evaluate data availability, accessibility, and format.

Main Results:

Web searches yielded more data for VEE than for EM, despite VEE's exotic status in the EU.
Data accessibility was generally correlated with data availability.
HTML and PDF were the predominant data formats, indicating a need for improvement in data standardization.

Conclusions:

Data availability, accessibility, and format require enhancement for research scientists and risk assessors.
Harmonized data collection and standardized procedures are essential for reliable national and international risk assessments.
The developed methodology provides a transparent, traceable, and systematic way to assess data relevance and integrate uncertainty in risk assessments.