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Cited by 286

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Bacterial Vaccines and Serotype Replacement: Lessons from Haemophilus influenzae and Prospects for Streptococcus pneumoniae

Open access
Lipsitch, Marc·1999·Emerging Infectious Diseases

Abstract

Conjugate vaccines have reduced the incidence of invasive disease caused by Haemophilus influenzae, type b (Hib), in industrialized countries and may be highly effective against Streptococcus pneumoniae. However, the serotype specificity of these vaccines has led to concern that their use may increase carriage of and disease from serotypes not included in the vaccine. Replacement has not occurred with the use of Hib vaccines but has occurred in trials of pneumococcal vaccines. Mathematical models can be used to elucidate these contrasting outcomes, predict the conditions under which serotype replacement is likely, interpret the results of conjugate vaccine trials, design trials that will better detect serotype replacement (if it occurs), and suggest factors to consider in choosing the serotype composition of vaccines.

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Metadata

Authors
Lipsitch, M.
Venue
Emerging Infectious Diseases
Published
1999-06
Volume
5
Issue
3
Pages
336-345
ISSN
  • 1080-6040 (ISSN-L)
  • 1080-6059
OpenAlex
W2014942315
Cited by
286
References
1
FWCI
10.97
Type
journal article
Language
en
Open access
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CoChat. (2026). Citation check: Bacterial Vaccines and Serotype Replacement: Lessons from Haemophilus influenzae and Prospects for Streptococcus pneumoniae. https://app.cochat.ai/papers/10.3201/eid0503.990304
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Lipsitch, M. (1999). Bacterial Vaccines and Serotype Replacement: Lessons from Haemophilus influenzae and Prospects for Streptococcus pneumoniae. Emerging Infectious Diseases. https://doi.org/10.3201/eid0503.990304

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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.