Treatment selection against Covid 19 through neutrosophic analysis

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María Fernanda Latorre Barragán
María José Guzmán Chango
Josué Sebastián Chasi Benavides

Abstract

Since the emergence of SARS-CoV-2 virus in China in December 2019, the world has changed for everyone. Despite staying in quarantine and executing preventive strategies to prevent the increase of positive cases in the face of the pandemic, individuals began to express concern. Not only because of the low deficit of health strategies, but also because of the risk of death caused by this virus. At present, there has been a rapid spread of this new disease, with an exponential increase in the number of cases and deaths. Thus, many people began to use different drugs in order to reduce symptoms or prevent viral replication.  Currently, several existing treatments are being studied and evaluated in order to speed up a solution to the disease, considering that creating new drugs requires years of testing, resources and trials. The use of multi-criteria tools and neutrosophy made it possible to determine the drugs used at international level with the best application possibilities, according to the evaluation criteria conceived.


 

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How to Cite
Treatment selection against Covid 19 through neutrosophic analysis. (2022). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 22, 253-262. http://fs.unm.edu/NCML2/index.php/112/article/view/230
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How to Cite

Treatment selection against Covid 19 through neutrosophic analysis. (2022). Neutrosophic Computing and Machine Learning. ISSN 2574-1101, 22, 253-262. http://fs.unm.edu/NCML2/index.php/112/article/view/230