The University of Southampton
University of Southampton Institutional Repository

Geospatial variation in vaccination coverage and zero-dose 2 prevalence at the district, ward and health facility levels before 3 and after a measles vaccination campaign in Nigeria

Geospatial variation in vaccination coverage and zero-dose 2 prevalence at the district, ward and health facility levels before 3 and after a measles vaccination campaign in Nigeria
Geospatial variation in vaccination coverage and zero-dose 2 prevalence at the district, ward and health facility levels before 3 and after a measles vaccination campaign in Nigeria
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.
Bayesian geostatistical model, health facility catchment areas, measles vaccination, post-campaign coverage survey, zero dose
2076-393X
Utazi, C. Edson
e69ca81e-fb23-4bc1-99a5-25c9e0f4d6f9
Olowe, Iyanuloluwa D.
3993579e-505f-49c6-a35d-0e83d882c3fa
Chan, H.M. Theophilus
5bf76c72-ef36-45cb-990e-d6a00d8781f0
Dotse-Gborgbortsi, Winfred
02d3e356-268e-4650-9fb9-9638ccdb6eff
Wagai, John
49841d59-cef4-4775-b3a7-0b076a4c4969
Umar, Jamila A.
b45600f8-59ea-479f-88e6-fa6f63675259
Etamesor, Sulaiman
a9e8f854-6872-4d48-ae88-37c42cc2e5ea
Atuhaire, Brian
9a1186b0-6314-4573-97ad-2480fd00345d
Fafunmi, Biyi
0014271e-629f-44d2-a696-e865b21f048e
Crawford, Jessica
f5697357-7d6e-4ab7-8927-7cc74a06d32d
Adeniran, Adeyemi
6d662ee4-9724-4b67-b11c-c1b140b23745
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Utazi, C. Edson
e69ca81e-fb23-4bc1-99a5-25c9e0f4d6f9
Olowe, Iyanuloluwa D.
3993579e-505f-49c6-a35d-0e83d882c3fa
Chan, H.M. Theophilus
5bf76c72-ef36-45cb-990e-d6a00d8781f0
Dotse-Gborgbortsi, Winfred
02d3e356-268e-4650-9fb9-9638ccdb6eff
Wagai, John
49841d59-cef4-4775-b3a7-0b076a4c4969
Umar, Jamila A.
b45600f8-59ea-479f-88e6-fa6f63675259
Etamesor, Sulaiman
a9e8f854-6872-4d48-ae88-37c42cc2e5ea
Atuhaire, Brian
9a1186b0-6314-4573-97ad-2480fd00345d
Fafunmi, Biyi
0014271e-629f-44d2-a696-e865b21f048e
Crawford, Jessica
f5697357-7d6e-4ab7-8927-7cc74a06d32d
Adeniran, Adeyemi
6d662ee4-9724-4b67-b11c-c1b140b23745
Tatem, Andrew J.
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Utazi, C. Edson, Olowe, Iyanuloluwa D., Chan, H.M. Theophilus, Dotse-Gborgbortsi, Winfred, Wagai, John, Umar, Jamila A., Etamesor, Sulaiman, Atuhaire, Brian, Fafunmi, Biyi, Crawford, Jessica, Adeniran, Adeyemi and Tatem, Andrew J. (2024) Geospatial variation in vaccination coverage and zero-dose 2 prevalence at the district, ward and health facility levels before 3 and after a measles vaccination campaign in Nigeria. Vaccines, 12 (12), [1299]. (doi:10.3390/vaccines12121299).

Record type: Article

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.

Text
2021_PCCS_paper_Accepted - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (5MB)
Text
vaccines-12-01299-v2 - Version of Record
Available under License Creative Commons Attribution.
Download (5MB)

More information

Accepted/In Press date: 18 November 2024
Published date: 21 November 2024
Keywords: Bayesian geostatistical model, health facility catchment areas, measles vaccination, post-campaign coverage survey, zero dose

Identifiers

Local EPrints ID: 496822
URI: http://eprints.soton.ac.uk/id/eprint/496822
ISSN: 2076-393X
PURE UUID: a0d79e1c-5adc-4d74-99a7-e2efeca68931
ORCID for C. Edson Utazi: ORCID iD orcid.org/0000-0002-0534-5310
ORCID for H.M. Theophilus Chan: ORCID iD orcid.org/0000-0001-6821-4206
ORCID for Winfred Dotse-Gborgbortsi: ORCID iD orcid.org/0000-0001-7627-1809
ORCID for Andrew J. Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 08 Jan 2025 07:17
Last modified: 21 May 2025 02:12

Export record

Altmetrics

Contributors

Author: C. Edson Utazi ORCID iD
Author: Iyanuloluwa D. Olowe
Author: Winfred Dotse-Gborgbortsi ORCID iD
Author: John Wagai
Author: Jamila A. Umar
Author: Sulaiman Etamesor
Author: Brian Atuhaire
Author: Biyi Fafunmi
Author: Jessica Crawford
Author: Adeyemi Adeniran
Author: Andrew J. Tatem ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×