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International Journal of Current Microbiology and Applied Sciences (IJCMAS)
IJCMAS is now DOI (CrossRef) registered Research Journal. The DOIs are assigned to all published IJCMAS Articles.
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39 For more details click here
National Academy of Agricultural Sciences (NAAS) : NAAS Score: *5.38 (2020) [Effective from January 1, 2020]For more details click here

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National Academy of Agricultural Sciences (NAAS)
NAAS Score: *5.38 (2020)
[Effective from January 1, 2020]
For more details click here

ICV 2019: 96.39
Index Copernicus ICI Journals Master List 2019 - IJCMAS--ICV 2019: 96.39
For more details click here

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Original Research Articles

PRINT ISSN : 2319-7692
Online ISSN : 2319-7706
Issues : 12 per year
Publisher : Excellent Publishers
Email : editorijcmas@gmail.com / submit@ijcmas.com
Editor-in-chief: Dr.M.Prakash
Index Copernicus ICV 2018: 95.39
NAAS RATING 2020: 5.38

Int.J.Curr.Microbiol.App.Sci.2020.9(12): 592-598
DOI: https://doi.org/10.20546/ijcmas.2020.912.070


The Germ Theory of COVID-19 Pandemic and Similarity Analysis of Genomics – A Machine Learning Approach
K.M. Shivakumar1, M. Kalpana2* and C. S. Sumathi2
1Faculty of Agricultural Economics, Centre for Agricultural and Rural Development Studies, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, India,
2Faculty of Computer Science, Anbil Dharmalingam Agricultural College and Research Institute, Tiruchirappalli, Tamil Nadu, India
*Corresponding author
Abstract:

The COVID - 19 pandemic creates havoc all around the world for human beings impacting their health, livelihood, employment, processing, economy etc. All the countries take various efforts like social distancing, containment, self- quarantine, severe testing but the spread of virus is taken place at an alarming rate. This article just provides the scenario of spread of pandemic COVID 19 in the most affected top 10 countries and also provides the similarity analysis of the RNA sequence of the virus affected victims in some of these countries to help them the causal agent and their genetic makeup in taking up preventive and quarantine measures.


Keywords: COVID-19, Spread of infections, Doubling Time, RNA Similarity Analysis
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How to cite this article:

Shivakumar, K. M., M. Kalpana and Sumathi, C. S. 2020. The Germ Theory of COVID-19 Pandemic and Similarity Analysis of Genomics – A Machine Learning Approach.Int.J.Curr.Microbiol.App.Sci. 9(12): 592-598. doi: https://doi.org/10.20546/ijcmas.2020.912.070