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Population, vaccination coverage, and zero-dose children estimates for Guinea version 1.0

Population, vaccination coverage, and zero-dose children estimates for Guinea version 1.0
Population, vaccination coverage, and zero-dose children estimates for Guinea version 1.0
These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the Reach the Unreached – Digital technologies to map zero-dose and unreached children in West and Central Africa project, funded by UNICEF — The United Nations Children’s Fund (contract No. 43387656). The project is led by UNICEF West Africa Regional Office focusing on five West African countries: Cameroon, Chad, Côte D’Ivoire, Guinea and Mali. The partners include the UNICEF Country Offices, WorldPop at the University of Southampton, MapAction and CartONG. This data release provides gridded population, vaccination coverage and zero dose children estimates for Guinea. The reference year of this data package is 2023. N.B. Please note the uncertainties resulting from the old DHS data utilised for this study. All GIS files in this data release have the geographic coordinate system of WGS84 (World Geodetic System 1984). Population modelling used a Random Forest (RF)-based dasymetric mapping approach of observed or projected census population counts, developed by Stevens et al. (2015) and implemented in the popRF ‘R’ package by Bondarenko et al. (2021). The modelling disaggregated the 2023 census projections. These population estimates have a spatial resolution of approximately 100-metre (0.0008333 decimal degrees grid) and also contain age and sex disaggregated results with the same spatial resolution. Geo-statistical estimates of under-vaccinated (DPT3 antigen coverage) and zero-dose (DPT1 coverage) children under one-year-old utilised a Bayesian spatial regression model (Utazi et al. 2021; 2022; 2023), implemented by Chaudhuri et al. (2025). This application utilised the 2018 DHS for the modelling. The vaccination coverage estimates have a spatial resolution of approximately 1-kilometre resolution (0.008333 decimal degrees grid), but the results are also aggregated up to the various administrative levels in GIS shapefile and table formats.
Population, vaccination coverage, zero-dose
University of Southampton
Chaudhuri, Somnath
ae0507e0-f920-4438-bc9f-ecdd5ac8967a
Gadiaga, Assane
eada3464-b0a2-4aaa-b594-eff8182c2aee
Olowe, Iyanuloluwa
3993579e-505f-49c6-a35d-0e83d882c3fa
Tejedor Garavito, Natalia
26fd242c-c882-4210-a74d-af2bb6753ee3
Utazi, Edson
e69ca81e-fb23-4bc1-99a5-25c9e0f4d6f9
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Chaudhuri, Somnath
ae0507e0-f920-4438-bc9f-ecdd5ac8967a
Gadiaga, Assane
eada3464-b0a2-4aaa-b594-eff8182c2aee
Olowe, Iyanuloluwa
3993579e-505f-49c6-a35d-0e83d882c3fa
Tejedor Garavito, Natalia
26fd242c-c882-4210-a74d-af2bb6753ee3
Utazi, Edson
e69ca81e-fb23-4bc1-99a5-25c9e0f4d6f9
Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881

Chaudhuri, Somnath, Gadiaga, Assane, Olowe, Iyanuloluwa, Tejedor Garavito, Natalia, Utazi, Edson and Lazar, Attila (2025) Population, vaccination coverage, and zero-dose children estimates for Guinea version 1.0. University of Southampton doi:10.5258/SOTON/WP00823 [Dataset]

Record type: Dataset

Abstract

These data were produced by the WorldPop Research Group at the University of Southampton. This work was part of the Reach the Unreached – Digital technologies to map zero-dose and unreached children in West and Central Africa project, funded by UNICEF — The United Nations Children’s Fund (contract No. 43387656). The project is led by UNICEF West Africa Regional Office focusing on five West African countries: Cameroon, Chad, Côte D’Ivoire, Guinea and Mali. The partners include the UNICEF Country Offices, WorldPop at the University of Southampton, MapAction and CartONG. This data release provides gridded population, vaccination coverage and zero dose children estimates for Guinea. The reference year of this data package is 2023. N.B. Please note the uncertainties resulting from the old DHS data utilised for this study. All GIS files in this data release have the geographic coordinate system of WGS84 (World Geodetic System 1984). Population modelling used a Random Forest (RF)-based dasymetric mapping approach of observed or projected census population counts, developed by Stevens et al. (2015) and implemented in the popRF ‘R’ package by Bondarenko et al. (2021). The modelling disaggregated the 2023 census projections. These population estimates have a spatial resolution of approximately 100-metre (0.0008333 decimal degrees grid) and also contain age and sex disaggregated results with the same spatial resolution. Geo-statistical estimates of under-vaccinated (DPT3 antigen coverage) and zero-dose (DPT1 coverage) children under one-year-old utilised a Bayesian spatial regression model (Utazi et al. 2021; 2022; 2023), implemented by Chaudhuri et al. (2025). This application utilised the 2018 DHS for the modelling. The vaccination coverage estimates have a spatial resolution of approximately 1-kilometre resolution (0.008333 decimal degrees grid), but the results are also aggregated up to the various administrative levels in GIS shapefile and table formats.

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More information

Published date: 5 June 2025
Keywords: Population, vaccination coverage, zero-dose

Identifiers

Local EPrints ID: 502107
URI: http://eprints.soton.ac.uk/id/eprint/502107
PURE UUID: e66ea4d0-d33b-44b1-a98a-493746b380c8
ORCID for Somnath Chaudhuri: ORCID iD orcid.org/0000-0003-4899-1870
ORCID for Iyanuloluwa Olowe: ORCID iD orcid.org/0009-0002-8848-1971
ORCID for Natalia Tejedor Garavito: ORCID iD orcid.org/0000-0002-1140-6263
ORCID for Edson Utazi: ORCID iD orcid.org/0000-0002-0534-5310
ORCID for Attila Lazar: ORCID iD orcid.org/0000-0003-2033-2013

Catalogue record

Date deposited: 16 Jun 2025 17:08
Last modified: 10 Oct 2025 02:10

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Contributors

Creator: Somnath Chaudhuri ORCID iD
Creator: Assane Gadiaga
Creator: Iyanuloluwa Olowe ORCID iD
Creator: Edson Utazi ORCID iD
Creator: Attila Lazar ORCID iD

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