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Geospatial variation in measles vaccine coverage through routine and campaign strategies in Nigeria: analysis of recent household surveys

Geospatial variation in measles vaccine coverage through routine and campaign strategies in Nigeria: analysis of recent household surveys
Geospatial variation in measles vaccine coverage through routine and campaign strategies in Nigeria: analysis of recent household surveys
Measles vaccination campaigns are conducted regularly in many low- and middle-income countries to boost measles control efforts and accelerate progress towards elimination. National and sometimes first-level administrative division campaign coverage may be estimated through post-campaign coverage surveys (PCCS). However, these large-area estimates mask significant geographic inequities in coverage at more granular levels. Here, we undertake a geospatial analysis of the Nigeria 2017–18 PCCS data to produce coverage estimates at 1 x 1 km resolution and the district level using binomial spatial regression models built on a suite of geospatial covariates and implemented in a Bayesian framework via the INLASPDE approach. We investigate the individual and combined performance of the campaign and routine immunization (RI) by mapping various indicators of coverage for children aged 9–59 months. Additionally, we compare estimated coverage before the campaign at 1 x 1 km and the district level with predicted coverage maps produced using other surveys conducted in 2013 and 2016–17. Coverage during the campaign was generally higher and more homogeneous than RI coverage but geospatial differences in the campaign’s reach of previously unvaccinated children are shown. Persistent areas of low coverage highlight the need for improved RI performance. The results can help to guide the conduct of future campaigns, improve vaccination monitoring and measles elimination efforts. Moreover, the approaches used here can be readily extended to other countries.
Measles vaccine, Supplementary immunization activities, Routine immunization, Geospatial analysis, Post-campaign coverage survey
0264-410X
3062-3071
Utazi, Chigozie
e69ca81e-fb23-4bc1-99a5-25c9e0f4d6f9
Wagai, John
49841d59-cef4-4775-b3a7-0b076a4c4969
Pannell, Oliver
370b302f-0b96-4fa5-b96b-5330cfef2263
Cutts, Felicity T.
25ed9d13-371b-4f1a-a15d-ca20f7e0d502
Rhoda, Dale A.
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Ferrari, Matthew J.
3255ed70-b9b8-4262-a96e-66b6ddb3d2df
Dieng, Boubacar
7a1098ab-9126-46a2-9150-0bee74e215fd
Oteri, Joseph
f003078a-38f9-4268-bc7f-da70f3a156f5
Danovaro-Holliday, M. Carolina
a5112753-8972-4473-91d9-0677b04fbeae
Adeniran, Adeyemi
6d662ee4-9724-4b67-b11c-c1b140b23745
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Utazi, Chigozie
e69ca81e-fb23-4bc1-99a5-25c9e0f4d6f9
Wagai, John
49841d59-cef4-4775-b3a7-0b076a4c4969
Pannell, Oliver
370b302f-0b96-4fa5-b96b-5330cfef2263
Cutts, Felicity T.
25ed9d13-371b-4f1a-a15d-ca20f7e0d502
Rhoda, Dale A.
8d3b4461-4dda-4036-83d0-13666633495d
Ferrari, Matthew J.
3255ed70-b9b8-4262-a96e-66b6ddb3d2df
Dieng, Boubacar
7a1098ab-9126-46a2-9150-0bee74e215fd
Oteri, Joseph
f003078a-38f9-4268-bc7f-da70f3a156f5
Danovaro-Holliday, M. Carolina
a5112753-8972-4473-91d9-0677b04fbeae
Adeniran, Adeyemi
6d662ee4-9724-4b67-b11c-c1b140b23745
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e

Utazi, Chigozie, Wagai, John, Pannell, Oliver, Cutts, Felicity T., Rhoda, Dale A., Ferrari, Matthew J., Dieng, Boubacar, Oteri, Joseph, Danovaro-Holliday, M. Carolina, Adeniran, Adeyemi and Tatem, Andrew (2020) Geospatial variation in measles vaccine coverage through routine and campaign strategies in Nigeria: analysis of recent household surveys. Vaccine, 38 (14), 3062-3071. (doi:10.1016/j.vaccine.2020.02.070).

Record type: Article

Abstract

Measles vaccination campaigns are conducted regularly in many low- and middle-income countries to boost measles control efforts and accelerate progress towards elimination. National and sometimes first-level administrative division campaign coverage may be estimated through post-campaign coverage surveys (PCCS). However, these large-area estimates mask significant geographic inequities in coverage at more granular levels. Here, we undertake a geospatial analysis of the Nigeria 2017–18 PCCS data to produce coverage estimates at 1 x 1 km resolution and the district level using binomial spatial regression models built on a suite of geospatial covariates and implemented in a Bayesian framework via the INLASPDE approach. We investigate the individual and combined performance of the campaign and routine immunization (RI) by mapping various indicators of coverage for children aged 9–59 months. Additionally, we compare estimated coverage before the campaign at 1 x 1 km and the district level with predicted coverage maps produced using other surveys conducted in 2013 and 2016–17. Coverage during the campaign was generally higher and more homogeneous than RI coverage but geospatial differences in the campaign’s reach of previously unvaccinated children are shown. Persistent areas of low coverage highlight the need for improved RI performance. The results can help to guide the conduct of future campaigns, improve vaccination monitoring and measles elimination efforts. Moreover, the approaches used here can be readily extended to other countries.

Text
1-s2.0-S0264410X20303017-main - Accepted Manuscript
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More information

Accepted/In Press date: 3 February 2020
e-pub ahead of print date: 29 February 2020
Published date: 23 March 2020
Keywords: Measles vaccine, Supplementary immunization activities, Routine immunization, Geospatial analysis, Post-campaign coverage survey

Identifiers

Local EPrints ID: 438484
URI: http://eprints.soton.ac.uk/id/eprint/438484
ISSN: 0264-410X
PURE UUID: af3e171f-c125-4950-b57d-ea9b38f3998b
ORCID for Oliver Pannell: ORCID iD orcid.org/0000-0003-2559-2818
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 11 Mar 2020 17:31
Last modified: 07 Oct 2020 02:21

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