REPORT

COVID-19: Supporting the Government of Sierra Leone with mobility data

Anonymised and aggregated data from Mobile Network Operators is a key data source for understanding the mobility patterns of populations, and improving decision-making and scenario planning during the COVID-19 epidemic. This data can be analysed in near real-time and provide an overview of mobility patterns across all of Sierra Leone.

This mobility report, using Africell’s Call Detail Records, is produced by Sierra Leone’s Directorate of Science, Technology and Innovation (DSTI); Flowminder Foundation; Africell Sierra Leone; MIT GovLab; MIT Civic Data Design Lab, December 2020.

Authors Sierra Leone's Directorate of Science, Technology and Innovation (DSTI); Flowminder Foundation / GRID3; Africell Sierra Leone; MIT GovLab; MIT Civic Data Design Lab
Source flowminder.org
Published December 2020
Full publication

More publications

GRID3 Impact Report 2023-2024

Explore how GRID3’s core spatial data – including population estimates, settlements, health facilities, and administrative boundaries – are making a difference in Nigeria and the Democratic Republic of Congo. This report details our achievements between 2023 and 2024, highlighting our […]

Piloting the GMT in Nigeria: Insights from Kano and Kaduna

The Geospatial Microplanning Toolkit (GMT) is a mobile application that allows health staff to record, edit, and visualize key spatial data and features via an interactive user interface. The GMT was developed to address three issues affecting health planning and […]

Microplanning: A promising approach to identify and reach zero-dose children in Democratic Republic of Congo (DRC)

This case study examines microplanning approaches as a key component in the Mashako Plan 2.0 to revitalize routine immunization strategies in the Democratic Republic of Congo (DRC).