A Comprehensive Analysis of COVID-19 Outbreak situation in India

Rajan Gupta; Saibal Kumar Pal; Gaurav Pandey

There were 912 living patients and 129 dead patients modelled from the dataset. Out of 129, only 24 patients had complete demographic details available for the modelling, however for rest of the patients, relevant data imputation techniques [30] were used and missing values were filled up scientifically. Accuracy and Precision values were computed based on the confusion matrix generated from Decision Tree Classifier model. The model generated a 60% accuracy as the data points were too less for the model to be trained and tested. Moreover, the three-variable model was not sufficient enough to make any significant relevance out of the analysis. However, the deaths have found to be more prevalent in the age group of 60 or more years and Males were more prominent to getting deceased. Also, infants were least impacted by coronavirus in terms of life and death. The state of Maharashtra and Madhya Pradesh were found to be the significant regions for the dead cases. Not major inferences could be drawn from the classification model as numbers of cases were low, but as per the records of deceased patients, a hint can be taken by the medical and administrative authorities as in which type of patients (based on their demographical features) need extra critical care.