Lopes, António M.Andrade, José P.Machado, J.A.Tenreiro2017-01-252016http://hdl.handle.net/10400.22/9413Background 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.engMultidimensional scalingClusteringVirus diseasesjournal articlehttp://dx.doi.org/10.1016/j.cmpb.2016.03.029