Evidence map›Paper›PMID 30893294›Full record

ArticlePLoS computational biology2019

An agent-based model of dengue virus transmission shows how uncertainty about breakthrough infections influences vaccination impact projections.

T Alex Perkins, Robert C Reiner, Guido España, Quirine A Ten Bosch, Amit Verma, Kelly A Liebman, Valerie A Paz-Soldan, John P Elder, Amy C Morrison, Steven T Stoddard and 4 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–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

23 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Gaussian Process Emulation for Exploring Complex Infectious Disease Models.medRxiv : the preprint server for health sciences · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Dengue Vaccine: Recommendations of the Advisory Committee on Immunization Practices, United States, 2021.MMWR. Recommendations and reports : Morbidity and mortality weekly report. Recommendations and reports · 2021
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Cost-effectiveness of dengue vaccination in Puerto Rico.PLoS neglected tropical diseases · 2021
    Article
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

14 authors.

T Alex PerkinsDepartment of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, United States of America.ORCID 0000-0002-7518-4014
Robert C ReinerFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.ORCID 0000-0003-1056-7919
Guido EspañaDepartment of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, United States of America.ORCID 0000-0002-9915-8056
Quirine A Ten BoschDepartment of Biological Sciences and Eck Institute for Global Health, University of Notre Dame, Notre Dame, IN, United States of America.ORCID 0000-0002-5227-1406
Amit VermaDepartment of Biostatistics and Bioinformatics, Emory University, Atlanta, GA.ORCID 0000-0002-9342-8350
Kelly A LiebmanDepartment of Entomology and Nematology, University of California, Davis, CA, United States of America.
Valerie A Paz-SoldanDepartment of Global Community Health and Behavioral Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, United States of America.ORCID 0000-0002-1065-4919
John P ElderInstitute for Behavioral and Community Health, Graduate School of Public Health, San Diego State University, San Diego, CA, United States of America.
Amy C MorrisonDepartment of Entomology and Nematology, University of California, Davis, CA, United States of America.ORCID 0000-0001-6224-5984
Steven T StoddardInstitute for Behavioral and Community Health, Graduate School of Public Health, San Diego State University, San Diego, CA, United States of America.
Uriel KitronFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.
Gonzalo M Vazquez-ProkopecFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.ORCID 0000-0002-0710-270X
Thomas W ScottFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.ORCID 0000-0003-2947-8123
David L SmithFogarty International Center, National Institutes of Health, Bethesda, MD, United States of America.ORCID 0000-0003-4367-3849

Funding

Transmission ProjectU19AI089674 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MATTHEW G DORSEY, MOSES Robert KAMYA · 2010 to 2026
$29.3M
Examining Human Behavior in Dengue Prevention Efforts in Iquitos, PeruK01TW008414 · FIC · TULANE UNIVERSITY OF LOUISIANA · PI PAZ-SOLDAN, VALERIE ANDREA · 2010 to 2013
$412k
FIC NIH HHS K01 TW008414NIAID NIH HHS U19 AI089674
6 · The paper itself

Abstract

Prophylactic vaccination is a powerful tool for reducing the burden of infectious diseases, due to a combination of direct protection of vaccinees and indirect protection of others via herd immunity. Computational models play an important role in devising strategies for vaccination by making projections of its impacts on public health. Such projections are subject to uncertainty about numerous factors, however. For example, many vaccine efficacy trials focus on measuring protection against disease rather than protection against infection, leaving the extent of breakthrough infections (i.e., disease ameliorated but infection unimpeded) among vaccinees unknown. Our goal in this study was to quantify the extent to which uncertainty about breakthrough infections results in uncertainty about vaccination impact, with a focus on vaccines for dengue. To realistically account for the many forms of heterogeneity in dengue virus (DENV) transmission, which could have implications for the dynamics of indirect protection, we used a stochastic, agent-based model for DENV transmission informed by more than a decade of empirical studies in the city of Iquitos, Peru. Following 20 years of routine vaccination of nine-year-old children at 80% coverage, projections of the proportion of disease episodes averted varied by a factor of 1.76 (95% CI: 1.54-2.06) across the range of uncertainty about breakthrough infections. This was equivalent to the range of vaccination impact projected across a range of uncertainty about vaccine efficacy of 0.268 (95% CI: 0.210-0.329). Until uncertainty about breakthrough infections can be addressed empirically, our results demonstrate the importance of accounting for it in models of vaccination impact.

Indexed as

Systems AnalysisUncertaintyCalibrationChildComputer SimulationDengueHumansPeruViral VaccinesViral Vaccines

Identifiers

PMID30893294
PMCPMC6443188

What OpenQuestion holds

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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.