title: Optimal treatment strategies for malaria infection.
abstract: We develop a numerical method for estimating optimal parameters in a mathematical model of the within-host dynamics of malaria infection. The model consists of a quasilinear system of partial differential equations. Convergence theory for the computed parameters is provided. Following this analysis, we present several numerical simulations that suggest that periodic treatments that are in synchronization with the periodic bursting rate of infected erythrocytes are the most productive strategies.
authors: Department of Mathematical Sciences, Loyola University New Orleans, New Orleans, LA 70118, USA. thibodea@loyno.edu
authors: Jeremy J
authors: JJ
authors: Thibodeaux
authors: Timothy P
authors: TP
authors: Schlittenhardt
mesh_terms: D000962:Antimalarials / Q000008:administration & dosage; D004334:Drug Administration Schedule; D004912:Erythrocytes / Q000469:parasitology; D004920:Erythropoiesis; D054884:Host-Pathogen Interactions; D006801:Humans; D008288:Malaria / Q000097:blood / Q000188:drug therapy* / Q000469:parasitology; D055641:Mathematical Concepts; D008954:Models, Biological
chemical_list: D000962:Antimalarials