Evidence map›Paper›PMID 31431184›Full record

ArticleJournal of the Royal Society, Interface2019

Serostatus testing and dengue vaccine cost-benefit thresholds.

Carl A B Pearson, Kaja M Abbas, Samuel Clifford, Stefan Flasche, Thomas J Hladish

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Cost-effectiveness of dengue vaccination in Puerto Rico.PLoS neglected tropical diseases · 2021
    Article
  4. Article
  5. Article
  6. Article
  7. Designing effective control of dengue with combined interventions.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  8. Serostatus testing and dengue vaccine cost-benefit thresholds.Journal of the Royal Society, Interface · 2019
    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

5 authors.

Carl A B PearsonDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Kaja M AbbasDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Samuel CliffordDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Stefan FlascheDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK.
Thomas J HladishDepartment of Biology and Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.

Funding

Understanding Transmission with Integrated Genetic and Epidemiologic InferenceU54GM111274 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BEDFORD, TREVOR BC · 2014 to 2018
$12.5M
Systems Analysis of Social Pathways of Epidemics to Reduce Health DisparitiesR01GM109718 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI MARATHE, ACHLA, VULLIKANTI, ANIL · 2014 to 2022
$3.6M
NIGMS NIH HHS R01 GM109718NIGMS NIH HHS U54 GM111274Wellcome Trust 208812/Z/17/Z
6 · The paper itself

Abstract

The World Health Organization (WHO) currently recommends pre-screening for past infection prior to administration of the only licensed dengue vaccine, CYD-TDV. Using a threshold modelling analysis, we identify settings where this guidance prohibits positive net-benefits, and are thus unfavourable. Generally, however, our model shows test-then-vaccinate strategies can improve CYD-TDV economic viability: effective testing reduces unnecessary vaccination costs while increasing health benefits. With sufficiently low testing cost, those trends outweigh additional screening costs, expanding the range of settings with positive net-benefits. This work highlights two aspects for further analysis of test-then-vaccinate strategies. We found that starting routine testing at younger ages could increase benefits; if real tests are shown to sufficiently address safety concerns, the manufacturer, regulators and WHO should revisit guidance restricting use to 9-years-and-older recipients. We also found that repeat testing could improve return-on-investment (ROI), despite increasing intervention costs. Thus, more detailed analyses should address questions on repeat testing and testing periodicity, in addition to real test sensitivity and specificity. Our results follow from a mathematical model relating ROI to epidemiology, intervention strategy, and costs for testing, vaccination and dengue infections. We applied this model to a range of strategies, costs and epidemiological settings pertinent to CYD-TDV. However, general trends may not apply locally, so we provide our model and analyses as an R package available via CRAN, denvax. To apply to their setting, decision-makers need only local estimates of age-specific seroprevalence and costs for secondary infections.

Indexed as

Cost-Benefit AnalysisAgingAnimalsChildDengueDengue VaccinesHumansModels, BiologicalSerologic TestsVaccinationDengue Vaccinescost–benefit analysisCYD-TDVdengueDengvaxiaseroprevalence

Identifiers

PMID31431184
PMCPMC6731500

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.