Agent-based modeling of host-pathogen systems: The successes and challenges

Information Sciences

Volumn 179, Issue 10, 2009, Pages 1379-1389

  Bauer, Amy L ^a   Beauchemin, Catherine A A ^b,c,d   Perelson, Alan S ^d  

^a LOS ALAMOS NATIONAL LABORATORY   (United States)

^b RYERSON UNIVERSITY   (Canada)

^c CENTER FOR NONLINEAR STUDIES   (United States)

^d LOS ALAMOS NATIONAL LABORATORY   (United States)

Author keywords

Acute inflammation; Agent based model; Artificial immune system; Host pathogen dynamics; Multiscale; Sensitivity analysis; Tuberculosis; Tumor growth

Indexed keywords

DYNAMICS; IMMUNOLOGY; PATHOGENS; PATHOLOGY; TUMORS;

ACUTE INFLAMMATION; AGENT-BASED MODEL; ARTIFICIAL IMMUNE SYSTEM; HOST-PATHOGEN DYNAMICS; MULTISCALE; TUBERCULOSIS; TUMOR GROWTH;

SENSITIVITY ANALYSIS;

EID: 61449214048     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2008.11.012     Document Type: Article

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