A Comprehensive Analysis of COVID-19 Outbreak situation in India

Rajan Gupta; Saibal Kumar Pal; Gaurav Pandey

The copyright holder for this preprint . https://doi.org/10.1101/2020.04.08.20058347 doi: medRxiv preprint 13 Countries, United Kingdom, Mumbai, Saudi Arabia and the first patient. It was found that these were the major hotspots responsible for the rapid spread of coronavirus in India. Based on the patient database, classification model was developed to check that on the basis of the demographic features, can a patient have the probability to be deceased. Other patterns were mined for the rules for COVID-19 patients; however rules were not significant enough for the positive cases as data for negative cases was not available in abundance. Based on the age group of COVID-19 infected patients, it was found that majority cases were in the age group of 31-40 years in India, as shown in Figure 8 . The deceased patients were majorly above 60 years of age group and majority people who are infected either travelled back from Italy or attended the religious event in Delhi. There was a classification model developed around patients who lost their lives after getting infected from the coronavirus. Decision Tree classification model [29] was used to classify that out of the given COVID-19 infected patients, whether a patient will be deceased or . CC-BY-NC-ND 4.0 International license It is made available under a is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.