Multidimensional scaling analysis of virus diseases
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...
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| Outros Autores: | , |
| Formato: | article |
| Idioma: | eng |
| Publicado em: |
2016
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| Texto completo: | http://hdl.handle.net/10400.22/9413 |
| País: | Portugal |
| Oai: | oai:recipp.ipp.pt:10400.22/9413 |
| Resumo: | 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. |
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