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Simple models of antibiotic cycling
Timothy C. Reluga
Mathematics
Institute for Computational and Data Sciences (ICDS)
Huck Institutes of the Life Sciences
Research output
:
Contribution to journal
›
Article
›
peer-review
28
Scopus citations
Overview
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Mathematics
Antibiotics
100%
Cycling
93%
Model
22%
Strategy
19%
Immigration
16%
Biological Systems
15%
Increasing Functions
15%
Resistance
14%
Community
13%
Monte Carlo Simulation
11%
Oscillation
10%
Optimization
10%
Alternatives
8%
Family
6%
Form
5%
Earth & Environmental Sciences
antibiotics
67%
antibiotic resistance
20%
immigration
19%
pathogen
15%
population growth
15%
oscillation
13%
family
12%
simulation
7%
method
3%
Engineering & Materials Science
Antibiotics
97%
Pathogens
18%
Biological systems
15%
Medicine & Life Sciences
Anti-Bacterial Agents
44%
Population Growth
21%
Emigration and Immigration
20%
Microbial Drug Resistance
17%
Research Personnel
11%
Chemical Compounds
Antimicrobial Agent
47%
Heterogeneity
25%
Strain
18%
Monte Carlo Method
14%
Resistance
8%