Application of New TOPSIS Approach to Identify the Most Significant Risk Factor and Continuous Monitoring of Death of COVID-19
Priyanka Majumder 1 * , Piyali Biswas 2, Srestha Majumder 3
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1 Department of Basic Science and Humanities, Techno College of Engineering Agartala, Maheshkhola-799004, Tripura, INDIA
2 Department of Physics, National Institute of Technology Agartala, Jirania-799046, Tripura, INDIA
3 Department of Computer Science Engineering, Techno College of Engineering Agartala, Maheshkhola-799004, Tripura, INDIA
* Corresponding Author


A pandemic is a disease that spreads across a large area like multiple continents or worldwide. More than 211 nations are already affected by Covid-19. The World Health Organization (WHO) on 11 March 2020 declared Covid-19 a pandemic. There are more than 1,282,931 cases of the coronavirus illness over 211 countries and territories around the world. Currently coronavirus has no proper treatment in Medical Science, increasing the number of affected people day by day with the number of cases worldwide of novel coronavirus surpassing 1,282,931, with some 72,616 deaths approximately. That is why the main objective of the present investigation is to identify the significant risk factor. Also, in this study we are continuously monitoring the spread of coronavirus. In this study we use a new TOPSIS MCDM approach and GMDH apply to select the significant risk factor and continuous monitoring of death due to Covid-19. Result indicates that “contamination due to contact with the infected person” is the main responsible factor behind the pandemic COVID-19. Also, in this investigation we get an optimal model by which we can monitor the death from Coronavirus within the affected person continuously.


This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Original Article

ELECTRON J GEN MED, 2020 - Volume 17 Issue 6, Article No: em234

Publication date: 08 Apr 2020

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Article Downloads: 3132

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