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Hence, it is concluded that limited intracellular resources or a detailed description of the cell physiology is required for a more realistic modeling of virus replication dynamics.
Jin and Flury ([2002]) reviewed the fate and transport of viruses in porous media to understand mechanisms and modeling of virus sorption, and concluded that factors such as solution chemistry, virus properties, soil properties, temperature, and association with solid particle influences virus survival, transport, and sorption in porous media.
This allowed modeling of virus dispersion between Egyptian governorates including the most likely origin.
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Mathematical modeling of virus-cell interaction has a long history.
We consider this model as a model of virus dynamics depicted in [46].
In the previous section, we analyzed the global stability of a model of virus infection with diffusion and time delay.
They presented a model of virus dynamics that can be further extended to include essential components of the cellular and humoral immune response.
We have previously introduced a novel model of virus dynamics and adaptation [23], which allows us to consider the distinct molecular effects of all novel (and some developmental) HIV drugs.
Our results will allow focused national serological studies, form the basis for the development of predictive models of virus transmission, provide a methodology for the use spatial analyses at a national level for other infectious diseases, and demonstrate the need for the reporting of arboviral and other disease cases at smaller geographic scales.
Priming of protective T cell responses has been shown in different models of virus infection to be deeply affected by the cross-talk between NK and DCs, where NK cells play a key regulatory function essential for DC maturation and subsequent T cell priming [19].
These assumption define the basic model of virus dynamics.
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