A Statistical Model to Predict Protection Against Infant Respiratory Syncytial Virus Disease Through Maternal Immunization

Our models successfully predicted VE of the RSV maternal vaccines and have potential use in modeling the clinical trial out-comes of other respiratory disease vaccines where maternal antibodies play a role in the protection of newborns.

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Publication Details

Journal
Vaccines
Published
2024-11-29
DOI
https://doi.org/10.3390/vaccines12121351
Citations
2
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
0.77

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article

A Statistical Model to Predict Protection Against Infant Respiratory Syncytial Virus Disease Through Maternal Immunization

Kenneth Koury, Kena A. Swanson, Philip R. Dormitzer, Yasmeen Agosti et al.
2 citations
Vaccines
Respiratory viral infections research
0.77
article

A Statistical Model to Predict Protection Against Infant Respiratory Syncytial Virus Disease Through Maternal Immunization

Kenneth Koury, Kena A. Swanson, Philip R. Dormitzer, Yasmeen Agosti, William C. Gruber, Beate Schmöele-Thoma, Yili Chen, Kathrin U. Jansen, Bing Cai
article en
2 citations

Abstract

Our models successfully predicted VE of the RSV maternal vaccines and have potential use in modeling the clinical trial out-comes of other respiratory disease vaccines where maternal antibodies play a role in the protection of newborns.

VaccinesVol. 12(12)
Pfizer (United States) (US)
Pfizer
Good health and well-being
Openalex Percentile: Top 24%
Respiratory viral infections research
0.77
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