Population Modelling to support Routine Health Planning and Monitoring in Sub-Saharan Africa

Project lead: Attila Lazar

Team: Heather Chamberlain, Tom AbbottAssane 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.


  • Rwanda
  • Kenya
  • Mozambique
  • Zambia
  • Uganda
  • tba

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