Evidence map›Paper›PMID 39771961›Full record

ArticleVaccines2024

Geospatial Variation in Vaccination Coverage and Zero-Dose Prevalence at the District, Ward and Health Facility Levels Before and After a Measles Vaccination Campaign in Nigeria.

C Edson Utazi, Iyanuloluwa D Olowe, H M Theophilus Chan, Winfred Dotse-Gborgbortsi, John Wagai, Jamila A Umar, Sulaiman Etamesor, Brian Atuhaire, Biyi Fafunmi, Jessica Crawford and 2 more

Abstract read
In one paragraph

Article in Vaccines, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
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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

12 authors.

C Edson UtaziWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0002-0534-5310
Iyanuloluwa D OloweWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0009-0002-8848-1971
H M Theophilus ChanSchool of Mathematical Sciences, University of Southampton, Southampton SO17 1BJ, UK.
Winfred Dotse-GborgbortsiWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, UK.ORCID 0000-0001-7627-1809
John WagaiWorld Health Organization Consultant, Abuja, Nigeria.ORCID 0000-0002-5514-5747
Jamila A UmarNational Primary Health Care Development Agency, Abuja, Nigeria.
Sulaiman EtamesorNational Primary Health Care Development Agency, Abuja, Nigeria.
Brian AtuhaireGavi, The Vaccine Alliance, Geneva, Switzerland.
Biyi FafunmiNational Bureau of Statistics, Abuja, Nigeria.
Jessica CrawfordGavi, The Vaccine Alliance, Geneva, Switzerland.
Adeyemi AdeniranNational Bureau of Statistics, Abuja, Nigeria.
Andrew J TatemWorldPop, School of Geography and Environmental Science, University of Southampton, Southampton SO17 1BJ, UK.

Funding

Gavi, the Vaccine Alliance NAWorld Health Organization 001
6 · The paper itself

Abstract

Many measles endemic countries with suboptimal coverage levels still rely on vaccination campaigns to fill immunity gaps and boost control efforts. Depending on local epidemiological patterns, national or targeted campaigns are implemented, following which post-campaign coverage surveys (PCCSs) are conducted to evaluate their performance, particularly in terms of reaching previously unvaccinated children. Due to limited resources, PCCS surveys are designed to be representative at coarse spatial scales, often masking important heterogeneities in coverage that could enhance the identification of areas of poor performance for follow-up via routine immunization strategies. Here, we undertake geospatial analyses of the 2021 measles PCCS in Nigeria to map indicators of coverage measuring the individual and combined performance of the campaign and routine immunization (RI) at 1 × 1 km resolution and the ward and district levels in 13 states. Using additional geospatial datasets, we also produced estimates of numbers of unvaccinated children during the campaign and numbers of measles-containing vaccine (MCV) zero-dose children before and after the campaign at these levels and within health facility catchment areas. Our study revealed that although the campaign reduced the numbers of MCV zero-dose children in all the districts, areas of suboptimal campaign and RI performance with considerable numbers of zero-dose children remained. Our analyses further identified wards and health facility catchment areas with higher numbers of unvaccinated children within these areas. Our outputs provide a robust evidence base to plan and implement follow-up RI strategies and to guide future campaigns at flexible and operationally relevant spatial scales.

Indexed as

Bayesian geostatistical modelhealth facility catchment areasmeasles vaccinationpost-campaign coverage surveyzero dose

Identifiers

PMID39771961
PMCPMC11680329

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.