Evidence map›Paper›PMID 37295130›Full record

ArticleEpidemics2023

Association between pertussis vaccination coverage and other sociodemographic factors and pertussis incidence using surveillance data.

Madhura S Rane, Jonathan Wakefield, Pejman Rohani, M Elizabeth Halloran

Open access · goldAbstract read
In one paragraph

Article in Epidemics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Monitoring Vaccine Safety: United States Vaccine Safety Surveillance Systems.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & Practitioners
    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 3 institutions in 1 country.

Madhura S RaneDepartment of Epidemiology, University of Washington, Seattle, WA 98195, USA. Electronic address: madhura18@gmail.com.
Jonathan WakefieldDepartment of Biostatistics, University of Washington, Seattle, WA 98195, USA; Department of Statistics, University of Washington, Seattle, WA 98195, USA.
Pejman RohaniOdum School of Ecology, University of Georgia, Athens, GA, 30602, USA; Department of Infectious Diseases, University of Georgia, Athens, GA, 30602, USA.
M Elizabeth HalloranDepartment of Epidemiology, University of Washington, Seattle, WA 98195, USA; Department of Biostatistics, University of Washington, Seattle, WA 98195, USA; Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
University of Washington · USInfectious Disease Research Institute · USUniversity of Georgia · US

Funding

Methods for Evaluating Vaccine EfficacyR37AI032042 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH · 2010 to 2019
$5.1M
NIAID NIH HHS R37 AI032042
6 · The paper itself

Abstract

Routine vaccination with pertussis vaccines has been successful in driving down pertussis mortality and morbidity globally. Despite high vaccination coverage, countries such as Australia, USA, and UK have experienced increase in pertussis activity over the last few decades. This may be due to local pockets of low vaccination coverage that result in persistence of pertussis in the population and occasionally lead to large outbreaks. The objective of this study was to characterize the association between pertussis vaccination coverage and sociodemographic factors and pertussis incidence at the school district level in King County, Washington, USA. We used monthly pertussis incidence data for all ages reported to the Public Health Seattle and King County between January 1, 2010 and December 31, 2017 to obtain school district level pertussis incidence. We obtained immunization data from the Washington State Immunization Information System to estimate school-district level vaccination coverage as proportion of 19-35 month old children fully vaccinated with ≥4 doses of the Diphtheria-Tetanus-acellular-Pertussis (DTaP) vaccine in a school district. We used two methods to quantify the effects of vaccination coverage on pertussis incidence: an ecological vaccine model and an endemic-epidemic model. Even though the effect of vaccination is modeled differently in the two approaches, both models can be used to estimate the association between vaccination coverage and pertussis incidence. Using the ecological vaccine model, we estimated the vaccine effectiveness of 4 doses of Diphtheria-Tetanus-acellular-Pertussis vaccine to be 83% (95% credible interval: 63%, 95%). In the endemic-epidemic model, under-vaccination was statistically significantly associated with epidemic risk of pertussis (adjusted Relative Risk, aRR: 2.76; 95% confidence interval: 1.44, 16.6). Household size and median income were statistically significantly associated with endemic pertussis risk. The endemic-epidemic model suffers from ecological bias, whereas the ecological vaccine model provides less biased and more interpretable estimates of epidemiological parameters, such as DTaP vaccine effectiveness, for each school district.

Indexed as

DiphtheriaDiphtheria-Tetanus-acellular Pertussis VaccinesTetanusWhooping CoughChildChild, PreschoolHumansImmunization ScheduleIncidenceInfantSociodemographic FactorsVaccinationVaccination CoverageDiphtheria-Tetanus-acellular Pertussis VaccinesAcellular pertussis vaccineDiptheria-Tetanus-acellular Pertussis vaccine (DTaP)Disease surveillanceEcological vaccine modelEndemic–epidemic modelVaccination coverage

Identifiers

PMID37295130
PMCPMC10584035
OpenAlexW4376866279

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.