Imperial College London
Alternate

Professor Neil Ferguson

Faculty of Medicine, School of Public Health

Director of the School of Public Health
 
 
 
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Contact

 

+44 (0)20 7594 3296neil.ferguson Website

 
 
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Location

 

508School of Public HealthWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Dorigatti:2018:10.1038/s41467-018-06006-6,
author = {Dorigatti, I and Donnelly, C and Laydon, D and Small, R and Jackson, N and Coudeville, L and Ferguson, N},
doi = {10.1038/s41467-018-06006-6},
journal = {Nature Communications},
title = {Refined efficacy estimates of the Sanofi Pasteur dengue vaccine CYD-TDV using machine learning},
url = {http://dx.doi.org/10.1038/s41467-018-06006-6},
volume = {9},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - 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.
AU  - Dorigatti,I
AU  - Donnelly,C
AU  - Laydon,D
AU  - Small,R
AU  - Jackson,N
AU  - Coudeville,L
AU  - Ferguson,N
DO  - 10.1038/s41467-018-06006-6
PY  - 2018///
SN  - 2041-1723
TI  - Refined efficacy estimates of the Sanofi Pasteur dengue vaccine CYD-TDV using machine learning
T2  - Nature Communications
UR  - http://dx.doi.org/10.1038/s41467-018-06006-6
UR  - http://hdl.handle.net/10044/1/63260
VL  - 9
ER  -
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