Rajiv Aggarwal
@aurobindo.du.ac.in
Professor Mathematics
Sri Aurobindo College, University of Delhi
RESEARCH, TEACHING, or OTHER INTERESTS
Mathematics, Applied Mathematics, Modeling and Simulation, General Physics and Astronomy
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
V. Kumar, R. Aggarwal, and S.K. Marig
Elsevier BV
Amit Mittal, Krishan Pal, and Rajiv Aggarwal
Springer Science and Business Media LLC
Shipra Chauhan and Rajiv Aggarwal
Pleiades Publishing Ltd
Amit Mittal, Krishan Pal, Md Sanam Suraj, and Rajiv Aggarwal
Elsevier BV
Md Sanam Suraj, F.L. Dubeibe, Rajiv Aggarwal, Md Chand Asique, Sawsan Alhowaity, and Awatif Alhowaity
Elsevier BV
Sushil Yadav, Mukesh Kumar, and Rajiv Aggarwal
Pleiades Publishing Ltd
Prachi Sachan, Md. Sanam Suraj, Rajiv Aggarwal, Amit Mittal, and Md. Chand Asique
Pleiades Publishing Ltd
Bhavneet Kaur, Sumit Kumar, and Rajiv Aggarwal
Pleiades Publishing Ltd
Dinesh Kumar, Rajiv Aggarwal, and Bhavneet Kaur
Pleiades Publishing Ltd
Md Sanam Suraj, Om Prakash Meena, Rajiv Aggarwal, Amit Mittal, and Md Chand Asique
Springer Science and Business Media LLC
Om Prakash Meena, Md Sanam Suraj, Rajiv Aggarwal, Amit Mittal, and Md Chand Asique
Springer Science and Business Media LLC
Md Sanam Suraj, Sawsan Alhowaity, Rajiv Aggarwal, and Md Chand Asique
Elsevier BV
Sushil Yadav, Virendra Kumar, and Rajiv Aggarwal
Elsevier BV
DINESH KUMAR and RAJIV AGGARWAL
Springer Science and Business Media LLC
Md Sanam Suraj, Sawsan Alhowaity, Rajiv Aggarwal, Md Chand Asique, and Amani Alahmadi
Elsevier BV
B. Kaur, S. Kumar, and R. Aggarwal
Allerton Press
Dinesh Kumar, Ram Krishan Sharma, Rajiv Aggarwal, Shipra Chauhan, and Arpana Sharma
Pleiades Publishing Ltd
Md Sanam Suraj, Sawsan Alhowaity, Rajiv Aggarwal, Md Chand Asique, Amit Mittal, and Mamta Jain
Elsevier BV
Md Sanam Suraj, Sawsan Alhowaity, and Rajiv Aggarwal
Elsevier BV
Md Sanam Suraj, Rajiv Aggarwal, Md Chand Asique, and Amit Mittal
Elsevier BV
Md Sanam Suraj, F. L. Dubeibe, Rajiv Aggarwal, and Md Chand Asique
Springer Science and Business Media LLC
Sushil Yadav, Virendra Kumar, and Rajiv Aggarwal
Springer Science and Business Media LLC
Prachi Sachan, Md Sanam Suraj, Rajiv Aggarwal, Md Chand Asique, and Amit Mittal
Elsevier BV
Bhavneet Kaur, Shipra Chauhan, and Rajiv Aggarwal
Springer Science and Business Media LLC
Vanshika Rustagi, Monika Bajaj, Tanvi, Priya Singh, Rajiv Aggarwal, Mohamed F. AlAjmi, Afzal Hussain, Md. Imtaiyaz Hassan, Archana Singh, and Indrakant K. Singh
Frontiers Media SA
Coronavirus Disease 2019 (COVID-19) is spreading across the world, and vaccinations are running parallel. Coronavirus has mutated into a triple-mutated virus, rendering it deadlier than before. It spreads quickly from person to person by contact and nasal or pharyngeal droplets. The COVID-19 database ‘Our World in Data’ was analyzed from February 24, 2020, to September 26, 2021, and predictions on the COVID positives and their mortality rate were made. Factors such as Vaccine data for the First and Second Dose vaccinated individuals and COVID positives that influence the fluctuations in the COVID-19 death ratio were investigated and linear regression analysis was performed. Based on vaccination doses (partial or complete vaccinated), models are created to estimate the number of patients who die from COVID infection. The estimation of variance in the datasets was investigated using Karl Pearson’s coefficient. For COVID-19 cases and vaccination doses, a quartic polynomial regression model was also created. This predictor model helps to predict the number of deaths due to COVID-19 and determine the susceptibility to COVID-19 infection based on the number of vaccine doses received. SVM was used to analyze the efficacy of models generated.