P
Pushpendra Kumar
Researcher at Central University of Punjab
Publications - 66
Citations - 1157
Pushpendra Kumar is an academic researcher from Central University of Punjab. The author has contributed to research in topics: Fractional calculus & Computer science. The author has an hindex of 9, co-authored 23 publications receiving 361 citations. Previous affiliations of Pushpendra Kumar include National Institute of Technology, Puducherry.
Papers
More filters
Journal ArticleDOI
A new study of unreported cases of 2019-nCOV epidemic outbreaks
Wei Gao,Pundikala Veeresha,Haci Mehmet Baskonus,Doddabhadrappla Gowda Prakasha,Pushpendra Kumar +4 more
TL;DR: The epidemic prophecy for the novel coronavirus (2019-nCOV) epidemic in Wuhan, China is studied by using q-homotopy analysis transform method (q-HATM) and the results show that the used scheme is highly emphatic and easy to implementation for the system of nonlinear equations.
Journal ArticleDOI
Solution of a COVID-19 model via new generalized Caputo-type fractional derivatives
TL;DR: The present study can confirm the applicability of the new generalized Caputo type fractional operator to mathematical epidemiology or real-world problems.
Journal ArticleDOI
Forecasting of COVID-19 pandemic: From integer derivatives to fractional derivatives.
TL;DR: In this work, a new compartmental mathematical model of COVID-19 pandemic has been proposed incorporating imperfect quarantine and disrespectful behavior of the citizens towards lockdown policies, which are evident in most of the developing countries.
Journal ArticleDOI
The analysis of a time delay fractional COVID-19 model via Caputo type fractional derivative.
TL;DR: In this paper, the authors solved a time delay fractional COVID-19 SEIR epidemic model via Caputo fractional derivatives using a predictor-corrector method and provided numerical simulations to show the nature of the diseases for different classes.
Journal ArticleDOI
Projections and fractional dynamics of COVID-19 with optimal control strategies.
TL;DR: A compartmental mathematical model incorporating all possible non-pharmaceutical intervention strategies to gain a deeper understanding about the future dynamics of COVID-19 has been proposed and unconditional stability of the fractional numerical technique has been proved.