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Advisor(s)
Abstract(s)
Background and Objective: Viruses are infectious agents that replicate inside organisms and
reveal a plethora of distinct characteristics.Viral infections spread in many ways, but often
have devastating consequences and represent a huge danger for public health. It is important
to design statistical and computational techniques capable of handling the available
data and highlighting the most important features.
Methods: This paper reviews the quantitative and qualitative behaviour of 22 infectious diseases
caused by viruses. The information is compared and visualized by means of the
multidimensional scaling technique.
Results: The results are robust to uncertainties in the data and revealed to be consistent
with clinical practice.
Conclusions: The paper shows that the proposed methodology may represent a solid mathematical
tool to tackle a larger number of virus and additional information about these
infectious agents.
Description
Keywords
Multidimensional scaling Clustering Virus diseases
Citation
Publisher
Elsevier