A network-based approach for resistance transmission in bacterial populations

Journal of Theoretical Biology

Volumn 262, Issue 1, 2010, Pages 97-106

  Gehring, Ronette ^a   Schumm, Phillip ^b   Youssef, Mina ^b   Scoglio, Caterina ^b  

^a KANSAS STATE UNIVERSITY   (United States)

^b Kansas State University   (United States)

Author keywords

Antimicrobial; Contact network; Mathematical model; Pharmacokinetics; Resistance

Indexed keywords

ANTIMICROBIAL ACTIVITY; BACTERIUM; COMPUTER SIMULATION; DRUG RESISTANCE; HYPOTHESIS TESTING; NUMERICAL MODEL; OPTIMIZATION; POPULATION DYNAMICS;

ANTIBIOTIC RESISTANCE; ARTICLE; COMPARTMENT MODEL; DEATH; INFECTION SENSITIVITY; MATHEMATICAL MODEL; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTITATIVE ANALYSIS; SIMULATION; BACTERIUM; BIOLOGICAL MODEL; COMPUTER SIMULATION; DOSE RESPONSE; DRUG EFFECT; GENE; GENETIC TRANSDUCTION; GENETICS; HORIZONTAL GENE TRANSFER; MICROBIOLOGICAL EXAMINATION; ORGANISMAL INTERACTION; PHYSIOLOGY; THEORETICAL MODEL;

BACTERIA (MICROORGANISMS);

ANTIINFECTIVE AGENT;

ANTI-BACTERIAL AGENTS; BACTERIA; COMPUTER SIMULATION; DOSE-RESPONSE RELATIONSHIP, DRUG; DRUG RESISTANCE, BACTERIAL; GENE TRANSFER, HORIZONTAL; GENES, MDR; MICROBIAL INTERACTIONS; MICROBIAL SENSITIVITY TESTS; MODELS, BIOLOGICAL; MODELS, THEORETICAL; TRANSDUCTION, GENETIC;

EID: 76449096171     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2009.09.002     Document Type: Article

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