@Article{cmc.2020.011314,
AUTHOR = {Muhammad Naveed, Muhammad Rafiq, Ali Raza, Nauman Ahmed, Ilyas Khan, Kottakkaran Sooppy Nisar, Atif Hassan Soori},
TITLE = {Mathematical Analysis of Novel Coronavirus (2019-nCov) Delay  Pandemic Model},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {64},
YEAR = {2020},
NUMBER = {3},
PAGES = {1401--1414},
URL = {http://www.techscience.com/cmc/v64n3/39436},
ISSN = {1546-2226},
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 <b>R<sub>nCov</sub></b> 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 <b>R<sub>nCov</sub></b>. Finally, some very 
useful numerical results are presented to support the theoretical analysis of the model.},
DOI = {10.32604/cmc.2020.011314}
}