Integrating immunological and epidemiological models

18th World IMACS Congress and MODSIM 2009 - International Congress on Modelling and Simulation: Interfacing Modelling and Simulation with Mathematical and Computational Sciences, Proceedings

Volumn , Issue , 2009, Pages 685-690

  Milner, F A ^a   Sega, L M ^b  

^a ARIZONA STATE UNIVERSITY   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

Epidemiology; Immunology; Mathematical models; Partial differential equations

Indexed keywords

BOUNDARY CONDITIONS; ORDINARY DIFFERENTIAL EQUATIONS; T-CELLS;

CHRONIC DISEASE; CHRONOLOGICAL AGE; EPIDEMIOLOGICAL MODELS; IMMUNOLOGICAL RESPONSE; INDIVIDUAL LEVELS; ORDINARY AND PARTIAL DIFFERENTIAL EQUATIONS; POPULATION LEVELS; STRUCTURE VARIABLES;

DISEASES;

EID: 85086241902     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Diekmann, O., and J.A.P. Heesterbeek (2000), Mathematical Epidemiology of Infectious Diseases, Model Building, Analysis and Interpretation, Wiley Series in Mathematical and Computational Biology.
2. Jeffrey, A.M. (2006), Control theoretic approach to HIV/AIDS drug dosage design and timing the initiation of therapy, Ph.D. dissertation, University of Pretoria.
3. Kermack, W.O. and McKendrick, A.G. (1927), A contribution to the mathematical theory of epidemics, Proc. Roy. Soc. A 115, 700-721.
4. Perelson, A.S., and P.W. Nelson (1999), Mathematical analysis of HIV-1 dynamics in vivo, SIAM Journal of Applied Mathematics 41, 3-44.