Evidence map›Paper›PMID 27663790›Full record

ArticleEpidemics2016

Dengue serotype immune-interactions and their consequences for vaccine impact predictions.

José Lourenço, Mario Recker

Abstract read
In one paragraph

Article in Epidemics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Migration rate estimation in an epidemic network.Applied mathematical modelling · 2021
    Article
  8. Article
  9. Modelling the Use of Vaccine andTropical medicine and infectious disease · 2020
    Article
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  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
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  18. Article
  19. DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics.International journal of environmental research and public health · 2016
    Review
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

2 authors.

José LourençoDepartment of Zoology, University of Oxford, Oxford OX1 3PS, UK.
Mario ReckerCentre for Mathematics and the Environment, University of Exeter, Penryn Campus, Penryn TR10 9EZ, UK. Electronic address: m.recker@exeter.ac.uk.

Funding

European Research Council 268904
6 · The paper itself

Abstract

Dengue is one of the most important and wide-spread viral infections affecting human populations. The last few decades have seen a dramatic increase in the global burden of dengue, with the virus now being endemic or near-endemic in over 100 countries world-wide. A recombinant tetravalent vaccine candidate (CYD-TDV) has recently completed Phase III clinical efficacy trials in South East Asia and Latin America and has been licensed for use in several countries. The trial results showed moderate-to-high efficacies in protection against clinical symptoms and hospitalisation but with so far unknown effects on transmission and infections per se. Model-based predictions about the vaccine's short- or long-term impact on the burden of dengue are therefore subject to a considerable degree of uncertainty. Furthermore, different immune interactions between dengue's serotypes have frequently been evoked by modelling studies to underlie dengue's oscillatory dynamics in disease incidence and serotype prevalence. Here we show how model assumptions regarding immune interactions in the form of antibody-dependent enhancement, temporary cross-immunity and the number of infections required to develop full immunity can significantly affect the predicted outcome of a dengue vaccination campaign. Our results thus re-emphasise the important gap in our current knowledge concerning the effects of previous exposure on subsequent dengue infections and further suggest that intervention impact studies should be critically evaluated by their underlying assumptions about serotype immune-interactions.

Indexed as

SerogroupDengueDengue VaccinesHumansImmunization ProgramsLatin AmericaVaccines, AttenuatedDengue VaccinesVaccines, Attenuated

Identifiers

PMID27663790
PMCPMC5030310

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.