GRID3 Bridging Fund
Project leads: Andy Tatem, Attila Lazar
Team: Chris Nnanatu, Heather Chamberlain, Tom Abbott, Assane Gadiaga, Ortis Yankey, Graeme Hornby, Alexandra Frosch, Safia Siddiqi-Hibbert
Funding: Bill and Melinda Gates Foundation
Start: Feb 2023
Completion: Jun 2023
This project continued our work in association with the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) initiative. This included, high-resolution population mapping, statistical method development and implementation, sampling deign and questionnaire development, model development, data visualization and user interface development. We also developed and delivered GRID3 training materials and a curriculum on GIS, geospatial analysis, hybrid census, Bayesian population estimation, and ‘R’ programming. We developed our modelling and analyses methods, and tools that automate data generation and display. We also supported country-level engagement and use case development as required.
Outputs for this project included services in support of GRID3’s work in Nigeria, Zambia, DRC, Sierra Leone, Kenya, and/or Burkina Faso:
- The production or support of population data products based on high-priority national needs.
- Training and technical support for use of spatial data.
- Support for GRID3 in-country teams with incorporating effective use of spatial data for improved health surveillance and delivery.
- Work with partner CIESIN to update the GRID3 settlement products by providing statistical summaries of gridded population data at the required spatial scales.
- A report identifying 1-year and 2-year options for priority advances in (including validation of) spatial population data methods.
- A report identify 1-year and 2-year options for priority advances meeting training and capacity strengthening needs.
About Us
The WorldPop research programme, based in the School of Geography and Environmental Sciences at the University of Southampton, is a multi-sectoral team of researchers, technicians and project specialists that produces data on population distributions and characteristics at high spatial resolution.
Initiated in October 2013 to combine The AfriPop Project, AsiaPop and AmeriPop projects, we have a diverse portfolio of projects, including large multi-million-pound collaborative projects with partner organisations, commercial data providers and international development organisations.