2005
DOI: 10.21236/ada444188
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Modeling Shrimp Biomass and Viral Infection for Production of Biological Countermeasures

Abstract: In this paper we develop a mathematical model for the rapid production of large quantities of therapeutic and/or preventative countermeasures. We couple equations for biomass production with those for vaccine production in shrimp that have been infected with a recombinant viral vector expressing a foreign antigen. The model system entails both size and class-age structure.Key Words: Size/class-age structured population models, shrimp growth/viral progression dynamics, latently-acutely infected. Public reportin… Show more

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Cited by 7 publications
(6 citation statements)
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References 18 publications
(23 reference statements)
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“…To better understand rates at the generation number cohort or division number cohort level, one should attempt to develop individual (cohort) dynamics to investigate the CFSE data in a Type I framework of Aggregate Data/Individual (Cohort) Dynamics inverse problems such as those discussed in [1,Chapter 14] and [5]. Similar approaches have been successfully pursued in marine and insect population models [3,6,10,12,22] as well as in physiologically based pharmacokinetics (PBPK) models in toxicology [5,17]. Fortunately, a simple reformulation of (1) allows such an approach and permits both the accurate quantification of total cells per division number and the accurate estimation of proliferation and death rates in terms of division number in such a framework.…”
mentioning
confidence: 99%
“…To better understand rates at the generation number cohort or division number cohort level, one should attempt to develop individual (cohort) dynamics to investigate the CFSE data in a Type I framework of Aggregate Data/Individual (Cohort) Dynamics inverse problems such as those discussed in [1,Chapter 14] and [5]. Similar approaches have been successfully pursued in marine and insect population models [3,6,10,12,22] as well as in physiologically based pharmacokinetics (PBPK) models in toxicology [5,17]. Fortunately, a simple reformulation of (1) allows such an approach and permits both the accurate quantification of total cells per division number and the accurate estimation of proliferation and death rates in terms of division number in such a framework.…”
mentioning
confidence: 99%
“…A special case of the general class is the biomass/viral infection model of [6]. We believe that this method can be applied to a more generalized version of this model in which mortality rates and birth rates depend on the total population or total biomass of each state; this would yield results under even more reasonable and realistic assumptions.…”
Section: Discussionmentioning
confidence: 99%
“…It is commonly assumed that the states of interest for these individuals are described by a single mathematical framework, but that each individual is described by a unique set of parameters within that framework. For instance, the growth of mosquitofish [9,16,17] and shrimp [5,11,13] have been shown to be described by a size-structured partial differential equation model in which the rate of individual growth is assumed to vary probabilistically across the population. HIV replication data has been shown to be accurately described by a cellular-level model in which intracellular delays vary from cell to cell [7].…”
Section: Motivationmentioning
confidence: 99%