Evidence map›Paper›PMID 27898668›Full record

ArticlePLoS medicine2016

The Long-Term Safety, Public Health Impact, and Cost-Effectiveness of Routine Vaccination with a Recombinant, Live-Attenuated Dengue Vaccine (Dengvaxia): A Model Comparison Study.

Stefan Flasche, Mark Jit, Isabel Rodríguez-Barraquer, Laurent Coudeville, Mario Recker, Katia Koelle, George Milne, Thomas J Hladish, T Alex Perkins, Derek A T Cummings and 11 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in PLoS medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 3 pooled it
32.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

106 citing papers in PubMed, 3 syntheses or guidelines pooled it, 234 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Guideline
  4. Trial
  5. Trial
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Review
  11. Coordinating collaborative infectious disease modeling projects with the hubverse.medRxiv : the preprint server for health sciences · 2025
    Article
  12. Article
  13. Review
  14. Article
  15. Mapping climate change-driven epidemics.Frontiers in epidemiology · 2025
    Article
  16. Review
  17. Article
  18. Microbiology spectrum · 2024
    Article
  19. Article
  20. Article

46 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors at 12 institutions in 5 countries.

Stefan FlascheLondon School of Hygiene and Tropical Medicine, London, United Kingdom.ORCID http://orcid.org/0000-0002-5808-2606
Mark JitLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Isabel Rodríguez-BarraquerJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Laurent CoudevilleSanofi Pasteur, Lyon, France.
Mario ReckerUniversity of Exeter, Exeter, United Kingdom.ORCID http://orcid.org/0000-0001-9489-1315
Katia KoelleDuke University, Durham, North Carolina, United States of America.
George MilneUniversity of Western Australia, Crawley, Australia.
Thomas J HladishUniversity of Florida, Gainesville, Gainesville, Florida, United States of America.ORCID http://orcid.org/0000-0003-1819-6235
T Alex PerkinsUniversity of Notre Dame, Notre Dame, Indiana, United States.
Derek A T CummingsJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.ORCID http://orcid.org/0000-0002-9437-1907
Ilaria DorigattiImperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0001-9959-0706
Daniel J LaydonImperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0003-4270-3321
Guido EspañaUniversity of Notre Dame, Notre Dame, Indiana, United States.ORCID http://orcid.org/0000-0002-9915-8056
Joel KelsoUniversity of Western Australia, Crawley, Australia.ORCID http://orcid.org/0000-0001-9814-6435
Ira LonginiUniversity of Florida, Gainesville, Gainesville, Florida, United States of America.
Jose LourencoUniversity of Oxford, Oxford, United Kingdom.
Carl A B PearsonUniversity of Florida, Gainesville, Gainesville, Florida, United States of America.
Robert C ReinerIndiana University, Bloomington, Indiana, United States of America.
Luis Mier-Y-Terán-RomeroJohns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Kirsten VanniceWorld Health Organization, Geneva, Switzerland.
Neil FergusonImperial College London, London, United Kingdom.ORCID http://orcid.org/0000-0002-1154-8093
Imperial College London · GBJohns Hopkins University · USUniversity of Florida · USLondon School of Hygiene & Tropical Medicine · GBThe University of Western Australia · AUUniversity of Notre Dame · USDuke University · USIndiana University Bloomington · USSanofi (France) · FRUniversity of Exeter · GBUniversity of Oxford · GBWorld Health Organization · CH

Funding

Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
Training, Outreach & Diversity ComponentU54GM088491 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VAN PANHUIS, WILLEM GIJSBERT · 2009 to 2018
$16.7M
Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI VESPIGNANI, ALESSANDRO · 2014 to 2018
$12.5M
Methods for Evaluating Vaccine EfficacyR37AI032042 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH · 2010 to 2019
$5.1M
LINKING ANTIGENIC & GENETIC VARIATION OF DENGUE TO INDIVIDUAL AND POPULATION RISKR01AI114703 · NIAID · UNIVERSITY OF FLORIDA · PI CUMMINGS, DEREK A · 2015 to 2019
$3.6M
Models for synthesising molecular, clinical and epidemiological data, and translaU01GM110721 · NIGMS · IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE · PI CAUCHEMEZ, SIMON, FERGUSON, NEIL MORRIS · 2014 to 2018
$1.9M
Medical Research Council MR/K010174/1NCATS NIH HHS UL1 TR001108NIAID NIH HHS R01 AI114703NIAID NIH HHS R37 AI032042NIGMS NIH HHS U01 GM110721NIGMS NIH HHS U54 GM088491NIGMS NIH HHS U54 GM111274World Health Organization 001
6 · The paper itself

Abstract

backgroundLarge Phase III trials across Asia and Latin America have recently demonstrated the efficacy of a recombinant, live-attenuated dengue vaccine (Dengvaxia) over the first 25 mo following vaccination. Subsequent data collected in the longer-term follow-up phase, however, have raised concerns about a potential increase in hospitalization risk of subsequent dengue infections, in particular among young, dengue-naïve vaccinees. We here report predictions from eight independent modelling groups on the long-term safety, public health impact, and cost-effectiveness of routine vaccination with Dengvaxia in a range of transmission settings, as characterised by seroprevalence levels among 9-y-olds (SP9). These predictions were conducted for the World Health Organization to inform their recommendations on optimal use of this vaccine. METHODS AND

findingsThe models adopted, with small variations, a parsimonious vaccine mode of action that was able to reproduce quantitative features of the observed trial data. The adopted mode of action assumed that vaccination, similarly to natural infection, induces transient, heterologous protection and, further, establishes a long-lasting immunogenic memory, which determines disease severity of subsequent infections. The default vaccination policy considered was routine vaccination of 9-y-old children in a three-dose schedule at 80% coverage. The outcomes examined were the impact of vaccination on infections, symptomatic dengue, hospitalised dengue, deaths, and cost-effectiveness over a 30-y postvaccination period. Case definitions were chosen in accordance with the Phase III trials. All models predicted that in settings with moderate to high dengue endemicity (SP9 ≥ 50%), the default vaccination policy would reduce the burden of dengue disease for the population by 6%-25% (all simulations: -3%-34%) and in high-transmission settings (SP9 ≥ 70%) by 13%-25% (all simulations: 10%- 34%). These endemicity levels are representative of the participating sites in both Phase III trials. In contrast, in settings with low transmission intensity (SP9 ≤ 30%), the models predicted that vaccination could lead to a substantial increase in hospitalisation because of dengue. Modelling reduced vaccine coverage or the addition of catch-up campaigns showed that the impact of vaccination scaled approximately linearly with the number of people vaccinated. In assessing the optimal age of vaccination, we found that targeting older children could increase the net benefit of vaccination in settings with moderate transmission intensity (SP9 = 50%). Overall, vaccination was predicted to be potentially cost-effective in most endemic settings if priced competitively. The results are based on the assumption that the vaccine acts similarly to natural infection. This assumption is consistent with the available trial results but cannot be directly validated in the absence of additional data. Furthermore, uncertainties remain regarding the level of protection provided against disease versus infection and the rate at which vaccine-induced protection declines.

conclusionsDengvaxia has the potential to reduce the burden of dengue disease in areas of moderate to high dengue endemicity. However, the potential risks of vaccination in areas with limited exposure to dengue as well as the local costs and benefits of routine vaccination are important considerations for the inclusion of Dengvaxia into existing immunisation programmes. These results were important inputs into WHO global policy for use of this licensed dengue vaccine.

Indexed as

Models, TheoreticalPublic HealthSafetyChildCost-Benefit AnalysisDengue VaccinesHumansSeroepidemiologic StudiesVaccinationVaccines, AttenuatedVaccines, SyntheticDengue VaccinesVaccines, AttenuatedVaccines, Synthetic

Identifiers

PMID27898668
PMCPMC5127514
OpenAlexW2559305335

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.