Cargando…
Effects of randomness on viral infection model with application
Virus population disease dynamics in various species of ecosystem keep the research interests alive for many centuries. In this research article, an attempt has been made to understand the qualitative behavior of a virus infection model with Lytic and Non-Lytic Immune Responses by perturbing with ra...
Autores principales: | Pitchaimani, M., Brasanna Devi, M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148646/ http://dx.doi.org/10.1016/j.ifacsc.2018.09.001 |
Ejemplares similares
-
Stochastic probical strategies in a delay virus infection model to combat COVID-19
por: Pitchaimani, M., et al.
Publicado: (2021) -
Fractional dynamical probes in COVID-19 model with control interventions: a comparative assessment of eight most affected countries
por: Pitchaimani, M., et al.
Publicado: (2022) -
Probing a Stochastic Epidemic Hepatitis C Virus Model with a Chronically Infected Treated Population
por: Rajasekar, S. P., et al.
Publicado: (2022) -
Applications of the hollow-fibre infection model (HFIM) in viral infection studies
por: Kembou-Ringert, Japhette E, et al.
Publicado: (2022) -
Mouse Models of Viral Infection
por: Empey, Kerry M., et al.
Publicado: (2018)