A population model capturing dynamics of tuberculosis granulomas predicts host infection outcomes

Mathematical Biosciences and Engineering

Volumn 12, Issue 3, 2015, Pages 625-642

  Gong, Chang ^a   Linderman, Jennifer J ^b   Kirschner, Denise ^a  

^a 6775 Medical Science Building II ^*  (United States)

^b B28 G045W NCRC   (United States)

Author keywords

Granuloma; Infectious disease; ODE model; TB; Within host model

Indexed keywords

BACTERIA; TERBIUM;

COMPUTATIONAL MODEL; CONTINUOUS PROCESS; GRANULOMA; HOST MODELS; IMMUNE RESPONSE; INFECTIOUS DISEASE; POPULATION MODEL; SINGLE STATE;

BIOLOGICAL ORGANS;

MYCOBACTERIUM TUBERCULOSIS;

BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; LATENT TUBERCULOSIS; LUNG; LUNG GRANULOMA; LUNG TUBERCULOSIS; PATHOPHYSIOLOGY; POPULATION DYNAMICS; PROGNOSIS;

COMPUTER SIMULATION; GRANULOMA, RESPIRATORY TRACT; HUMANS; LATENT TUBERCULOSIS; LUNG; MODELS, BIOLOGICAL; POPULATION DYNAMICS; PROGNOSIS; TUBERCULOSIS, PULMONARY;

EID: 84924216232     PISSN: 15471063     EISSN: 15510018     Source Type: Journal    
DOI: 10.3934/mbe.2015.12.625     Document Type: Article

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