Modelled gridded population estimates for Sankuru Province in the Democratic Republic of Congo version 4.2

Chaudhuri, Somnath, Yankey, Ortis, Nnanatu, Chris, Chamberlain, Heather, Lazar, Attila and Tatem, Andrew (2025) Modelled gridded population estimates for Sankuru Province in the Democratic Republic of Congo version 4.2. (doi:10.5258/SOTON/WP00792).

Abstract

This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Sankuru Province in the Democratic Republic of Congo (DRC), along with estimates of the number of people belonging to various age-sex groups. The project team used the Pre-Distribution Registration Survey (PDRS) data from the National Malaria Control Programme (PNLP) collected as part of anti-malarial campaigns in the DRC for 2022, settlement extents and geospatial covariates to model and estimate population numbers at grid cell level using a Bayesian statistical hierarchical modelling framework. The approach facilitated simultaneous accounting for the multiple levels of variability within the data. It also allowed the quantification of uncertainties in parameter estimates. These model-based population estimates can be considered as most accurately representing the year 2022. This time period corresponds to the PDRS survey date for Sankuru. Although the methods were robust enough to explicitly account for key random biases within the datasets, it is noted that systematic biases, which may arise from sources other than random errors within the observed data collection process, are most likely to remain.

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Contributors

Author: Somnath Chaudhuri

Author: Ortis Yankey

Author: Chris Nnanatu

Author: Heather Chamberlain

Author: Attila Lazar

Author: Andrew Tatem

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