Evidence map›Paper›PMID 26337864›Full record

ArticleParasitology2016

Pertussis immunity and epidemiology: mode and duration of vaccine-induced immunity.

F M G Magpantay, M Domenech DE Cellès, P Rohani, A A King

Abstract read
In one paragraph

Article in Parasitology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Laboratory, epidemiological and clinical characteristics of pertussis in children and close contacts: a cross-sectional study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  6. Disentangling the causes of mumps reemergence in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Age-structure and transient dynamics in epidemiological systems.Journal of the Royal Society, Interface · 2019
    Article
  12. Quantifying the consequences of measles-induced immune modulation for whooping cough epidemiology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  13. Article
  14. Article
  15. A Network-Based Compartmental Model For The Spread Of Whooping Cough In Nebraska.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2019
    Article
  16. Article
  17. Article
  18. Modeling and inference for infectious disease dynamics: a likelihood-based approach.Statistical science : a review journal of the Institute of Mathematical Statistics · 2018
    Article
  19. Vaccine impact in homogeneous and age-structured models.Journal of mathematical biology · 2017
    Article
  20. Surveillance of Vaccination Coverage among Adult Populations - United States, 2015.Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) · 2017
    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

4 authors.

F M G MagpantayDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.
M Domenech DE CellèsDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.
P RohaniDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA.
A A KingDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, 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
Integrating immunology, epidemiology, and evolution to understand and control perR01AI101155 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KING, AARON A., ROHANI, PEJMAN · 2012 to 2016
$1.7M
NIAID NIH HHS R01 AI101155NIGMS NIH HHS U54 GM111274
6 · The paper itself

Abstract

The resurgence of pertussis in some countries that maintain high vaccination coverage has drawn attention to gaps in our understanding of the epidemiological effects of pertussis vaccines. In particular, major questions surround the nature, degree and durability of vaccine protection. To address these questions, we used mechanistic transmission models to examine regional time series incidence data from Italy in the period immediately following the introduction of acellular pertussis (aP) vaccine. Our results concur with recent animal-challenge experiments wherein infections in aP-vaccinated individuals proved as transmissible as those in naive individuals but much less symptomatic. On the other hand, the data provide evidence for vaccine-driven reduction in susceptibility, which we quantify via a synthetic measure of vaccine impact. As to the precise nature of vaccine failure, the data do not allow us to distinguish between leakiness and waning of vaccine immunity, or some combination of these. Across the range of well-supported models, the nature and duration of vaccine protection, the age profile of incidence and the range of projected epidemiological futures differ substantially, underscoring the importance of the remaining unknowns. We identify key data gaps: sources of data that can supply the information needed to eliminate these remaining uncertainties.

Indexed as

Models, BiologicalAge DistributionDatabases, FactualHumansImmunityIncidenceItalyPertussis VaccineTime FactorsWhooping CoughPertussis Vaccinedisease dynamicsimperfect vaccineiterated filteringleaky vaccinelikelihood-based inferencepertussiswaning immunity

Identifiers

PMID26337864
PMCPMC4792787

What OpenQuestion holds

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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.