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

Nnanatu, Chris, Yankey, Ortis, Bonnie, Amy, Abbott, Thomas, Chamberlain, Heather, Lazar, Attila and Tatem, Andrew (2025) Modelled gridded population estimates for Tanganyika Province in the Democratic Republic of Congo version 4.2. University of Southampton doi:10.5258/SOTON/WP00810 [Dataset]

Abstract

This data release provides gridded population estimates (spatial resolution of 3 arc-seconds, approximately 100-metre grid cells) for Tanganyika 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 2023, settlement extent 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 2023. This time period corresponds to the PDRS survey date for Tanganyika. 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, remain.

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Contributors

Creator: Chris Nnanatu

Creator: Ortis Yankey

Creator: Amy Bonnie

Creator: Heather Chamberlain

Creator: Attila Lazar

Creator: Andrew Tatem

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