Evidence map›Paper›PMID 28399801›Full record

ArticleBMC infectious diseases2017

Is the impact of childhood influenza vaccination less than expected: a transmission modelling study.

Felix Weidemann, Cornelius Remschmidt, Silke Buda, Udo Buchholz, Bernhard Ultsch, Ole Wichmann

Abstract read
In one paragraph

Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

6 authors.

Felix WeidemannImmunization Unit, Robert Koch-Institute, Seestr. 10, 13359, Berlin, Germany.
Cornelius RemschmidtImmunization Unit, Robert Koch-Institute, Seestr. 10, 13359, Berlin, Germany.
Silke BudaRespiratory Disease Unit, Robert Koch-Institute, Seestr. 10, 13359, Berlin, Germany.
Udo BuchholzRespiratory Disease Unit, Robert Koch-Institute, Seestr. 10, 13359, Berlin, Germany.
Bernhard UltschImmunization Unit, Robert Koch-Institute, Seestr. 10, 13359, Berlin, Germany.
Ole WichmannImmunization Unit, Robert Koch-Institute, Seestr. 10, 13359, Berlin, Germany. wichmanno@rki.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo reduce the burden of severe influenza, most industrialized countries target specific risk-groups with influenza vaccines, e.g. the elderly or individuals with comorbidities. Since children are the main spreaders, some countries have recently implemented childhood vaccination programs to reduce overall virus transmission and thereby influenza disease in the whole population. The introduction of childhood vaccination programs was often supported by modelling studies that predicted substantial incidence reductions. We developed a mathematical transmission model to examine the potential impact of childhood influenza vaccination in Germany, while also challenging established modelling assumptions.

methodsWe developed an age-stratified SEIR-type transmission model to reproduce the epidemic influenza seasons between 2003/04 and 2013/14. The model was built upon German population counts, contact patterns, and vaccination history and was fitted to seasonal data on influenza-attributable medically attended acute respiratory infections (I-MAARI) and strain distribution using Bayesian methods. As novelties we (i) implemented a stratified model structure enabling seasonal variability and (ii) deviated from the commonly assumed mass-action-principle by employing a phenomenological transmission rate.

resultsAccording to the model, by vaccinating primarily the elderly over ten seasons 4 million (95% prediction interval: 3.84 - 4.19) I-MAARI were prevented which corresponds to an 8.6% (8.3% - 8.9%) reduction compared to a no-vaccination scenario and a number-needed-to-vaccinate (NNV) to prevent one I-MAARI of 37.1 (35.5 - 38.7). Additional vaccination of 2-10 year-old children at 40% coverage would have led to an overall I-MAARI reduction of 17.8% (17.1 - 18.7%) mostly due to indirect effects with a NNV of 20.7 (19.6 - 21.6). When employing the traditional mass-action-principle, the model predicted a more than 3-fold higher I-MAARI reduction (55.6%) due to childhood vaccination.

conclusionIn Germany, the introduction of routine childhood influenza vaccination could considerably reduce I-MAARI among all age-groups and improve the NNV. However, the predicted impact is much lower compared to previous studies, which is primarily caused by our phenomenological approach to modelling influenza virus transmission.

Indexed as

Acute DiseaseAdultBayes TheoremChildChild, PreschoolFemaleGermanyHealth Impact AssessmentHumansIncidenceInfantInfluenza, HumanInfluenza VaccinesMaleMiddle AgedModels, BiologicalInfluenza VaccinesBayesian inferencechildhood vaccinationInfluenzaNNVtransmission model

Identifiers

PMID28399801
PMCPMC5387286

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.