Modeling shrimp biomass and viral infection for production of biological countermeasures

H. Thomas Banks; V. A. Bokil; Shuhua Hu; A. K. Dhar; R. A. Bullis; C. L. Browdy; F.C.T. Allnutt

doi:10.3934/mbe.2006.3.635

Article Contents

2006, Volume 3, Issue 4: 635-660. Doi: 10.3934/mbe.2006.3.635

This issue Previous Article Mathematical modeling of biowall reactors for in-situ groundwater treatment Next Article Modelling the human immune response mechanisms to mycobacterium tuberculosis infection in the lungs

Modeling shrimp biomass and viral infection for production of biological countermeasures

1.
Center for Research in Scientific Computation, Raleigh, NC 27695-8205
2.
Advanced Bionutrition Corporation, 6430 Dobbin Road, Columbia, MD 21045
3.
Marine Resources Research Institute, South Carolina Department of Natural Resources, 217 Ft. Johnson Rd. (P.O. Box 12559), Charleston, SC 29422

Received: November 30, 2005

Revised: March 31, 2006

Published: July 2006

Abstract Related Papers Cited by

Abstract

In this paper we develop a mathematical model for the rapid production of large quantities of therapeutic and preventive 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.

Keywords:

size/class-age structured population models,
shrimp growth/viral pro-gression dynamics,
latently-acutely infected.

Mathematics Subject Classification: 92D25, 92D30, 35L60, 65M06.

Citation:

Article Metrics

HTML views() PDF downloads(37) Cited by(0)

Modeling shrimp biomass and viral infection for production of biological countermeasures

Abstract

Access History

Article Metrics

Access History

Other Articles By Authors

Catalog

Modeling shrimp biomass and viral infection for production of biological countermeasures

Abstract

Access History

SHARE

Article Metrics

Access History

Other Articles By Authors

Catalog

Export File

Citation

Format

Content