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Research Article

JCR. 2020; 7(18): 281-287


Dr.R.V.S.Lalitha, Dr.G.Jaya Suma.

At the outset of Corona virus decease, it has created global health crisis and had a deep impact on day
to day lives. Corona virus causes illness to both animals and humans. People suffering from this decease will
face respiratory illness problem. The symptoms of corona decease include dry cough, respiratory problems and
fever. Correlation analysis is widely used in medical industry to predict the cause of decease with the other
health problems. The analytics on correlation is essential to observe the nature of inter dependency among the
tied deceases. In order to identify the impact of this decease, the mutual relationship between the symptoms is
evaluated using correlation analysis. Though safety measures put in place to stop spreading corona but still there
are failures in adopting sustainable preventive mechanisms. The casual relationship between the symptoms is to
be identified to diagnose the decease and the level of illness. In this paper, the correlation dependency between
cold, flu, pneumonia and corona virus are analyzed using Pearson, Kendallís Tau and Spearman analysis. The
baseline performance of the particular decease is cross verified with the results obtained from intuitions drawn
from web to analyze the harness of the problem.

Key words: COVID19, Pearson correlation analysis, Kendallís Tau, Spearman, Baseline performance, K-fold cross validation.

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