Refined efficacy estimates of the Sanofi Pasteur dengue vaccine CYD-TDV using machine learning
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Published version
Author(s)
Type
Journal Article
Abstract
CYD-TDV is the first licensed dengue vaccine for individuals 9–45 (or 60) years of age. Using 12% of the subjects enroled in phase-2b and phase-3 trials for which baseline serostatus was measured, the vaccine-induced protection against virologically confirmed dengue during active surveillance (0–25 months) was found to vary with prior exposure to dengue. Because age and dengue exposure are highly correlated in endemic settings, refined insight into how efficacy varies by serostatus and age is essential to understand the increased risk of hospitalisation observed among vaccinated individuals during the long-term follow-up and to develop safe and effective vaccination strategies. Here we apply machine learning to impute the baseline serostatus for subjects with post-dose 3 titres but missing baseline serostatus. We find evidence for age dependence in efficacy independent of serostatus and estimate that among 9–16 year olds, CYD-TDV is protective against serotypes 1, 3 and 4 regardless of baseline serostatus.
Date Issued
2018-09-07
Date Acceptance
2018-08-03
Citation
Nature Communications, 2018, 9
ISSN
2041-1723
Publisher
Nature Publishing Group
Journal / Book Title
Nature Communications
Volume
9
Copyright Statement
© 2018 The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative
Commons license, and indicate if changes were made. The images or other third party
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indicated otherwise in a credit line to the material. If material is not included in the
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Commons license, and indicate if changes were made. The images or other third party
material in this article are included in the article’s Creative Commons license, unless
indicated otherwise in a credit line to the material. If material is not included in the
article’s Creative Commons license and your intended use is not permitted by statutory
regulation or exceeds the permitted use, you will need to obtain permission directly from
the copyright holder. To view a copy of this license, visit http://creativecommons.org/
licenses/by/4.0/.
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Subjects
Science & Technology
Multidisciplinary Sciences
Science & Technology - Other Topics
BOOSTED REGRESSION TREES
VIRUS SEROTYPE
LATIN-AMERICA
CHILDREN
THAILAND
RECOMBINANT
CIRCULATION
DISEASE
BURDEN
TRIALS
MD Multidisciplinary
Publication Status
Published
Article Number
3644
Date Publish Online
2018-09-07