UCL Grand Challenges


Collecting Social Mixing Data in Manicaland, Zimbabwe to Inform Infectious Disease Modelling

This project will produce a dataset on social mixing in Zimbabwe to support research into Demographics of Human Mobility and Infectious Disease Modelling

"With the team from Simukai and DOMCCP - in Dora, Manicaland, Zimbabwe." by eriktorner is marked with CC BY-NC-SA 2.0. To view the terms, visit https://creativecommons.org/licenses/by-nc-sa/2.0/?ref=openverse

1 September 2021


Grant: Grand Challenges Doctoral Students' Small Grants
Year awarded: 2021-22
Amount awarded: £2,000

Project Team 

  • Ms Sophie Ayling, Centre for Advanced Spatial Analysis
  • Mr Hamish Gibbs, Geography

The main objective of the proposed activity is to collect social mixing data in Manicaland, Zimbabwe by occupation as well as age. The main outcome will be a dataset on social mixing with the number of contacts disaggregated by age and occupation in work, school, home and community settings. The qualitative data analysis will provide the bases for further analysis covering areas of PIs interests “Demographics of Human Mobility” and “Infectious Disease Modelling”. 

Outputs and Impact

  • Awaiting outputs and impacts

Image Credit: Erik Törner