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Which Pneumococcal Serogroups Cause the Most Invasive Disease: Implications for Conjugate Vaccine Formulation and Use, Part I

Hausdorff, W. P., Bryant, J., Paradiso, P. R., Siber, G. R.·2000·Clinical Infectious Diseases

Abstract

We analyzed >70 recent data sets to compare the serogroups causing invasive pneumococcal disease (IPD) with those represented in conjugate vaccine formulations. Five to 8 and 10-11 serogroups comprise at least 75% of pneumococcal isolates from young children and older children/adults, respectively, in each geographic region. Serogroups in the 7-valent formulation (4, 6, 9, 14, 18, 19, and 23) cause 70%-88% of IPD in young children in the United States and Canada, Oceania, Africa, and Europe, and <65% in Latin America and Asia. Serogroups in the 9-valent formulation (7-valent+1, 5) cause 80%-90% of IPD in each region except Asia (66%). Serogroup 1 accounts for >6% of IPD in each region, including Europe, except the United States and Canada and Oceania. In contrast, several serogroups not found in 7-, 9-, and 11-valent conjugate formulations are significant causes of disease in older children/adults. Nevertheless, each conjugate formulation could prevent a substantial IPD burden in each region and age group.

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Metadata

Authors
Hausdorff, W. P., Bryant, J., Paradiso, P. R., & Siber, G. R.
Venue
Clinical Infectious Diseases
Published
2000-01-01
Volume
30
Issue
1
Pages
100-121
ISSN
  • 1058-4838 (ISSN-L)
  • 1537-6591
OpenAlex
W2122234707
Cited by
866
References
0
FWCI
37.35
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Which Pneumococcal Serogroups Cause the Most Invasive Disease: Implications for Conjugate Vaccine Formulation and Use, Part I. https://app.cochat.ai/papers/10.1086/313608
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Hausdorff, W. P., Bryant, J., Paradiso, P. R., & Siber, G. R. (2000). Which Pneumococcal Serogroups Cause the Most Invasive Disease: Implications for Conjugate Vaccine Formulation and Use, Part I. Clinical Infectious Diseases. https://doi.org/10.1086/313608

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