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Cited by 314

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

The Population Genetics of Antibiotic Resistance

Levin, B. R., Lipsitch, M., Perrot, V., Schrag, S., Antia, R., Simonsen, L., Moore Walker, N., Stewart, F. M.·1997·Clinical Infectious Diseases

Abstract

Mathematical models are used to ascertain the relationship between the incidence of antibiotic treatment and the frequency of resistant bacteria in the commensal flora of human hosts, as well as the rates at which these frequencies would decline following a cessation of antibiotic use. Recent studies of the population biology of plasmid-encoded and chromosomal antibiotic resistance are reviewed for estimates of the parameters of these models and to evaluate other factors contributing to the fate of antibiotic-resistant bacteria in human hosts. The implications of these theoretical and empirical results to the future of antibacterial chemotherapy are discussed.

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Crossref · 10.1093/clinids/24.supplement_1.s9

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Metadata

Authors
Levin, B. R., Lipsitch, M., Perrot, V., Schrag, S., Antia, R., Simonsen, L., Moore Walker, N., & Stewart, F. M.
Venue
Clinical Infectious Diseases
Published
1997-01-01
Volume
24
Issue
Supplement_1
Pages
S9-S16
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2026215081
Cited by
314
References
2
FWCI
11.68
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Population Genetics of Antibiotic Resistance. https://app.cochat.ai/papers/10.1093/clinids/24.supplement_1.s9
The paper
Levin, B. R., Lipsitch, M., Perrot, V., Schrag, S., Antia, R., Simonsen, L., Moore Walker, N., & Stewart, F. M. (1997). The Population Genetics of Antibiotic Resistance. Clinical Infectious Diseases. https://doi.org/10.1093/clinids/24.supplement_1.s9

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.