Evidence map›Paper›PMID 33635913›Full record

ArticlePloS one2021

Implementing WHO guidance on conducting and analysing vaccination coverage cluster surveys: Two examples from Nigeria.

John Ndegwa Wagai, Dale Rhoda, Mary Prier, Mary Kay Trimmer, Caitlin B Clary, Joseph Oteri, Bassey Okposen, Adeyemi Adeniran, Carolina Danovaro-Holliday, Felicity Cutts

Erratum issuedAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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

  1. Pooled it
  2. Article
  3. Vaccination Coverage Quality Indicators (VCQI): a flexible open-source tool for survey data analysis.Revista panamericana de salud publica = Pan American journal of public health · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

John Ndegwa WagaiIndependent Consultant, Nairobi, Kenya.ORCID 0000-0002-5514-5747
Dale RhodaBiostat Global Consulting, Worthington, OH, United States of America.ORCID 0000-0003-0948-1368
Mary PrierBiostat Global Consulting, Worthington, OH, United States of America.
Mary Kay TrimmerBiostat Global Consulting, Worthington, OH, United States of America.
Caitlin B ClaryBiostat Global Consulting, Worthington, OH, United States of America.ORCID 0000-0001-7283-749X
Joseph OteriNational Primary Health Care Development Agency, Abuja, Nigeria.
Bassey OkposenNational Primary Health Care Development Agency, Abuja, Nigeria.
Adeyemi AdeniranNational Bureau of Statistics, Abuja, Nigeria.
Carolina Danovaro-HollidayWorld Health Organization, Geneva, Switzerland.
Felicity CuttsDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.

Funding

World Health Organization 001
6 · The paper itself

Abstract

In 2015, the World Health Organization substantially revised its guidance for vaccination coverage cluster surveys (revisions were finalized in 2018) and has since developed a set of accompanying resources, including definitions for standardized coverage indicators and software (named the Vaccination Coverage Quality Indicators-VCQI) to calculate them.-The current WHO vaccination coverage survey manual was used to design and conduct two nationally representative vaccination coverage surveys in Nigeria-one to assess routine immunization and one to measure post-measles campaign coverage. The primary analysis for both surveys was conducted using VCQI. In this paper, we describe those surveys and highlight some of the analyses that are facilitated by the new resources. In addition to calculating coverage of each vaccine-dose by age group, VCQI analyses provide insight into several indicators of program quality such as crude coverage versus valid doses, vaccination timeliness, missed opportunities for simultaneous vaccination, and, where relevant, vaccination campaign coverage stratified by several parameters, including the number of previous doses received. The VCQI software furnishes several helpful ways to visualize survey results. We show that routine coverage of all vaccines is far below targets in Nigeria and especially low in northeast and northwest zones, which also have highest rates of dropout and missed opportunities for vaccination. Coverage in the 2017 measles campaign was higher and showed less geospatial variation than routine coverage. Nonetheless, substantial improvement in both routine program performance and campaign implementation will be needed to achieve disease control goals.

Indexed as

Child, PreschoolCluster AnalysisGuidelines as TopicHumansImmunization ProgramsInfantMeaslesMeasles VaccineNigeriaSoftwareSurveys and QuestionnairesVaccination CoverageWorld Health OrganizationMeasles Vaccine

Identifiers

PMID33635913
PMCPMC7909665

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.