Evidence map›Paper›PMID 27663785›Full record

ArticleEpidemics2016

Using age-stratified incidence data to examine the transmission consequences of pertussis vaccination.

J C Blackwood, D A T Cummings, S Iamsirithaworn, P Rohani

Open access · goldAbstract read
In one paragraph

Article in Epidemics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 36% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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 at 4 institutions in 2 countries.

J C BlackwoodDepartment of Mathematics and Statistics, Williams College, Williamstown, MA 01267, USA. Electronic address: jcb5@williams.edu.
D A T CummingsJohns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA.
S IamsirithawornBureau of Epidemiology, Ministry of Public Health, Nonthaburi, Thailand.
P RohaniOdum School of Ecology, University of Georgia, Athens, GA 30606, USA; Department of Infectious Diseases, School of Veterinary Medicine, University of Georgia, Athens, GA 30606, USA; Fogarty International Center, National Institutes of Health, Bethesda, MD 20892, USA.
Johns Hopkins University · USMinistry of Public Health · THNational Institutes of Health · USWilliams College · US

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

Pertussis is a highly infectious respiratory disease that has been on the rise in many countries worldwide over the past several years. The drivers of this increase in pertussis incidence remain hotly debated, with a central and long-standing hypothesis that questions the ability of vaccines to eliminate pertussis transmission rather than simply modulate the severity of disease. In this paper, we present age-structured case notification data from all provinces of Thailand between 1981 and 2014, a period during which vaccine uptake rose substantially, permitting an evaluation of the transmission impacts of vaccination. Our analyses demonstrate decreases in incidence across all ages with increased vaccine uptake - an observation that is at odds with pertussis case notification data in a number of other countries. To explore whether these observations are consistent with a rise in herd immunity and a reduction in bacterial transmission, we analyze an age-structured model that incorporates contrasting hypotheses concerning the immunological and transmission consequences of vaccines. Our results lead us to conclude that the most parsimonious explanation for the combined reduction in incidence and the shift to older age groups in the Thailand data is vaccine-induced herd immunity.

Indexed as

Immunity, HerdPertussis VaccineHumansIncidenceVaccinationWhooping CoughPertussis VaccineDisease transmissionEpidemiologyImmunityMathematical modelPertussis

Identifiers

PMID27663785
PMCPMC5292824
OpenAlexW2303929355

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.