Evidence map›Paper›PMID 23249232›Full record

ReviewExpert review of vaccines2012

Resolving pertussis immunity and vaccine effectiveness using incidence time series.

Jennie S Lavine, Pejman Rohani

Abstract readReview
In one paragraph

Review in Expert review of vaccines, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Article
  3. Pertussis vaccines, epidemiology and evolution.Nature reviews. Microbiology · 2024
    Review
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. A second-order iterated smoothing algorithm.Statistics and computing · 2017
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Combating pertussis resurgence: One booster vaccination schedule does not fit all.Proceedings of the National Academy of Sciences of the United States of America · 2015
    Article
  16. 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.

Jennie S LavineDepartment of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 48109, USA. jennie.lavine@gmail.com
Pejman Rohani

Funding

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
FIC NIH HHS Y99 TW999999NIAID NIH HHS 1R01AI101155NIAID NIH HHS R01 AI101155
6 · The paper itself

Abstract

Resolving the long-term, population-level consequence of vaccine-induced immunity to pertussis is a key challenge for control strategies and vaccine development. Controlled vaccine efficacy studies provide invaluable information; however, they are limited in scope by their sample size and follow-up duration. Long-term time series of incidence data collected by public health institutions provide insight at a broader scale, especially when the data are spatially explicit and age stratified. By using modern ecological and statistical methodolgies, which are reviewed in this paper, new insights into the duration of transmission-blocking immunity and the age-specific patterns of transmission can be gained. Recent advances in computing power and statistical software development will increasingly make these methods available to public health practitioners, vaccine developers and academics alike.

Indexed as

Epidemiologic MethodsHumansIncidencePertussis VaccineStatistics as TopicTime FactorsWhooping CoughPertussis Vaccine

Identifiers

PMID23249232
PMCPMC3595187

What OpenQuestion holds

Textmetadata
LicenceTDM
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.