Abstract
In this paper, we consider the utilization of the graph and network theory in the field of modeling and simulating the dynamics of infectious diseases. We describe basic principles and tools and show how we can use them to fight against the spread of this phenomenon. We also present our software solutions that can be used to support decision-making activities.
Received: 2012-11-20
Revised: 2013-1-19
Accepted: 2013-1-20
Published Online: 2013-03-01
Published in Print: 2013-03-01
©2013 by Walter de Gruyter Berlin Boston
You are currently not able to access this content.
You are currently not able to access this content.
Articles in the same Issue
- Masthead
- Masthead
- Multicriteria similarity models for medical diagnostic support algorithms
- An introduction to watermarking of medical images
- The graph and network theory as a tool to model and simulate the dynamics of infectious diseases
- Heart rate variability assessment with rational-dilation wavelet transform
- Learner-generated versus author-provided computer-based flow diagrams in medical education
- Analysis of tremor in motor learning task
Articles in the same Issue
- Masthead
- Masthead
- Multicriteria similarity models for medical diagnostic support algorithms
- An introduction to watermarking of medical images
- The graph and network theory as a tool to model and simulate the dynamics of infectious diseases
- Heart rate variability assessment with rational-dilation wavelet transform
- Learner-generated versus author-provided computer-based flow diagrams in medical education
- Analysis of tremor in motor learning task