Population Modelling to support Routine Health Planning and Monitoring in Sub-Saharan Africa
Project lead: Attila Lazar
Team: Heather Chamberlain, Tom Abbott, Assane Gadiaga, Duygu Cihan, Tim O’Riordan, Alexandra Frosch
Funding: UNICEF
Start: Sep 2021
Completion: Dec 2022
In close collaboration with UNICEF Eastern and Southern Africa (ESARO) health section, targeted UNICEF country offices and the DHIS2 HISP network, we are working with the GRID3 project to improve access to timely and accurate local population estimates within routine health information systems and improve data generation and use capacity at country and regional level. We are working to strengthen information system related work in countries in ESARO and support information use through developing enhanced dashboards and improving population denominators.
The expected outputs of this project are:
- processed population data layers, by country, for integration into DHIS2 health management system (using projections and dasymetric Random Forest methodology (Stevens et al., 2015),
- capacity built to support scale up and sustained generation and use of data at country and regional level,
- deploying Toolkit and Training Resources for ongoing use, and
- published guides, case studies and/or research regarding promising approaches and strategies.
Countries
- Rwanda
- Kenya
- Mozambique
- Zambia
- Uganda
- tba
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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.