Logical and probabilistic risk models for assessment and analysis of the drug addiction problem in a region

Logical and probabilistic risk models for assessment and analysis of the drug addiction problem in a region

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Article ID: iaor201525880
Volume: 18
Issue: 1
Start Page Number: 1
End Page Number: 20
Publication Date: Mar 2015
Journal: International Journal of Risk Assessment and Management
Authors: ,
Keywords: risk, programming: linear
Abstract:

This paper provides evidence about the selection of the model type in order to solve the drug addiction problem in the region. Methodological support of the drug addiction situation monitoring systems has been analysed. Hybrid logic and probabilistic (LP) risk models of failure to counteract drug addiction, with and without corruption, are described. A scenario LP‐risk model of conceptual development of drug addiction in the region is considered. We also propose an LP‐risk model of drug addiction danger in the region on the basis of indicative indexes, taking into account drug addiction latency. An example of the assessment of drug addiction danger in the region using the monitoring data is provided.

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