five

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

收藏
DataCite Commons2025-06-18 更新2026-05-07 收录
下载链接:
https://eprints.soton.ac.uk/502172/
下载链接
链接失效反馈
官方服务:
资源简介:
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 Chad. The reference year of this data package is 2024. 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 2024 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 2014 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.
提供机构:
University of Southampton
创建时间:
2025-06-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作