Viral Kinetics of SARS-CoV-2 Over the Preclinical, Clinical and Postclinical Period

2020 ◽  
Author(s):  
Sukbin Jang ◽  
Ji-Young Rhee ◽  
Bo Kyeung Jung
Keyword(s):  
2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Bhagya Jyoti Nath ◽  
Kaushik Dehingia ◽  
Vishnu Narayan Mishra ◽  
Yu-Ming Chu ◽  
Hemanta Kumar Sarmah

AbstractIn this paper, we have mathematically analyzed a within-host model of SARS-CoV-2 which is used by Li et al. in the paper “The within-host viral kinetics of SARS-CoV-2” published in (Math. Biosci. Eng. 17(4):2853–2861, 2020). Important properties of the model, like nonnegativity of solutions and their boundedness, are established. Also, we have calculated the basic reproduction number which is an important parameter in the infection models. From stability analysis of the model, it is found that stability of the biologically feasible steady states are determined by the basic reproduction number $(\chi _{0})$ ( χ 0 ) . Numerical simulations are done in order to substantiate analytical results. A biological implication from this study is that a COVID-19 patient with less than one basic reproduction ratio can automatically recover from the infection.


2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
S. D. Perera ◽  
S. S. N. Perera

Dengue virus is a mosquito borne Flavivirus and the most prevalent arbovirus in tropical and subtropical regions around the world. The incidence of dengue has increased drastically over the last few years at an alarming rate. The clinical manifestation of dengue ranges from asymptomatic infection to severe dengue. Even though the viral kinetics of dengue infection is lacking, innate immune response and humoral immune response are thought to play a major role in controlling the virus count. Here, we developed a computer simulation mathematical model including both innate and adaptive immune responses to study the within-host dynamics of dengue virus infection. A sensitivity analysis was carried out to identify key parameters that would contribute towards severe dengue. A detailed stability analysis was carried out to identify relevant range of parameters that contributes to different outcomes of the infection. This study provides a qualitative understanding of the biological factors that can explain the viral kinetics during a dengue infection.


2013 ◽  
Vol 99 (2) ◽  
pp. 119-124 ◽  
Author(s):  
Eiichi Ogawa ◽  
Norihiro Furusyo ◽  
Masayuki Murata ◽  
Kazuhiro Toyoda ◽  
Kunimitsu Eiraku ◽  
...  

2020 ◽  
Vol 95 ◽  
pp. 441-443 ◽  
Author(s):  
Seong Eun Kim ◽  
Hae Seong Jeong ◽  
Yohan Yu ◽  
Sung Un Shin ◽  
Soosung Kim ◽  
...  

2021 ◽  
Vol 102 ◽  
pp. 561-565
Author(s):  
Sukbin Jang ◽  
Ji-Young Rhee ◽  
Yu Mi Wi ◽  
Bo Kyeung Jung
Keyword(s):  

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