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Cited by 225

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

How Can Vaccines Contribute to Solving the Antimicrobial Resistance Problem?

Open access
Lipsitch, Marc, Siber, George R.·2016·mBio

Abstract

There is a growing appreciation for the role of vaccines in confronting the problem of antimicrobial resistance (AMR). Vaccines can reduce the prevalence of resistance by reducing the need for antimicrobial use and can reduce its impact by reducing the total number of cases. By reducing the number of pathogens that may be responsible for a particular clinical syndrome, vaccines can permit the use of narrower-spectrum antibiotics for empirical therapy. These effects may be amplified by herd immunity, extending protection to unvaccinated persons in the population. Because much selection for resistance is due to selection on bystander members of the normal flora, vaccination can reduce pressure for resistance even in pathogens not included in the vaccine. Some vaccines have had disproportionate effects on drug-resistant lineages within the target species, a benefit that could be more deliberately exploited in vaccine design. We describe the effects of current vaccines in controlling AMR, survey some vaccines in development with the potential to do so further, and discuss strategies to amplify these benefits. We conclude with a discussion of research and policy priorities to more fully enlist vaccines in the battle against AMR.

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Metadata

Authors
Lipsitch, M., & Siber, G. R.
Venue
mBio
Published
2016-07-06
Volume
7
Issue
3
ISSN
  • 2150-7511 (ISSN-L)
  • 2161-2129
OpenAlex
W2413630606
Cited by
225
References
8
FWCI
15.75
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: How Can Vaccines Contribute to Solving the Antimicrobial Resistance Problem? https://app.cochat.ai/papers/10.1128/mbio.00428-16
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Lipsitch, M., & Siber, G. R. (2016). How Can Vaccines Contribute to Solving the Antimicrobial Resistance Problem? mBio. https://doi.org/10.1128/mbio.00428-16

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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.