State of the Map Africa 2021

Community Epidemic and Pandemic Preparedness Program for Covid-19 Support
11-19, 15:55–16:15 (UTC), Room 2
Language: English

The International Federation of Red Cross and Red Crescent Societies (IFRC) launched the Community Epidemic and Pandemic Preparedness Program (CP3) in 2017. CP3 currently runs in: Indonesia, Cameroon, Kenya, Uganda, Democratic Republic of Congo, Sierra Leone, Guinea, and Mali. The program focuses on three workstreams: Preparing Communities, Preparing Red Cross/Red Crescent National Societies, and Preparing Stakeholders and Business Partners.

Data and information management are key to the success of these objectives in each workstream; “data readiness” therefore has been a focus of CP3 in Kenya, Uganda, DRC, Guinea, and Indonesia. This work has centered around making existing secondary datasets available via open source platforms and collecting data via remote and field data collection sessions to fill in data gaps to OSM in target CP3 areas. It additionally supports integrating this data, and information management workflows, into Red Cross National Society and CP3 program needs.
As a program centered around epidemic and pandemic preparedness, COVID-19 has brought to the forefront the relevance of data for food distribution, border screening, installation of handwashing stations, and health facilities. The data and map products made available for National Society Covid-19 planning and response were the result of not just the availability of individual cartographers, but also the data collection and open source advocacy that has been central in CP3 in Guinea, Uganda, DRC, Kenya, and Indonesia.

This talk will highlight key examples from Uganda and Guinea on the workflow of:
Field data collection methodology that brought together communities using open source tools to add and geolocate data points on the map (OSM)
Building National Society capacity through supporting Covid-19 activities, such as volunteer deployment and setting up hand-washing stations, with timely, accurate, and available data and information products
Lessons learned and next steps to scaling these workflows