Open Access
ARTICLE
Mathematical Analysis of Novel Coronavirus (2019-nCov) Delay Pandemic Model
Muhammad Naveed1, Muhammad Rafiq2, Ali Raza3, Nauman Ahmed4, Ilyas Khan5, *, Kottakkaran Sooppy Nisar6, Atif Hassan Soori1
1 Department of Mathematics, Air University, Islamabad, Pakistan.
2 Faculty of Engineering University of Central Punjab, Lahore, Pakistan.
3 Department of Mathematics, National College of Business Administration and Economics, Lahore, Pakistan.
4 Department of Mathematics and Statistics, The University of Lahore, Lahore, Pakistan.
5 Faculty of Mathematics and Statistics, Ton Duc Thang University, Ho Chi Minh, 72915, Vietnam.
6 Department of Mathematics, College of Arts and Science at Wadi Aldawaser, Prince Sattam Bin Abdulaziz
University, Alkharj, Saudi Arabia.
* Corresponding Author: Ilyas Khan. Email: .
(This article belongs to the Special Issue: Artificial Intelligence and Information Technologies for COVID-19)
Computers, Materials & Continua 2020, 64(3), 1401-1414. https://doi.org/10.32604/cmc.2020.011314
Received 30 April 2020; Accepted 29 May 2020; Issue published 30 June 2020
Abstract
In this manuscript, the mathematical analysis of corona virus model with time
delay effect is studied. Mathematical modelling of infectious diseases has substantial role in
the different disciplines such as biological, engineering, physical, social, behavioural
problems and many more. Most of infectious diseases are dreadful such as HIV/AIDS,
Hepatitis and 2019-nCov. Unfortunately, due to the non-availability of vaccine for 2019-
nCov around the world, the delay factors like, social distancing, quarantine, travel
restrictions, holidays extension, hospitalization and isolation are used as key tools to control
the pandemic of 2019-nCov. We have analysed the reproduction number
RnCov of delayed
model. Two key strategies from the reproduction number of 2019-nCov model, may be
followed, according to the nature of the disease as if it is diminished or present in the
community. The more delaying tactics eventually, led to the control of pandemic. Local
and global stability of 2019-nCov model is presented for the strategies. We have also
investigated the effect of delay factor on reproduction number
RnCov. Finally, some very
useful numerical results are presented to support the theoretical analysis of the model.
Keywords
Cite This Article
M. Naveed, M. Rafiq, A. Raza, N. Ahmed, I. Khan
et al., "Mathematical analysis of novel coronavirus (2019-ncov) delay pandemic model,"
Computers, Materials & Continua, vol. 64, no.3, pp. 1401–1414, 2020. https://doi.org/10.32604/cmc.2020.011314
Citations