The One Health approach encourages collaboration between sectors to address the complex challenges that exist at the nexus of human, animal and environmental health. In collaboration with our partners, we identify challenges pertaining to the sharing of data and information when operationalising the One Health approach and to reduce the complexity, we identify concrete use cases with our partners and stakeholders. For instance, combating Antimicrobial Resistance (AMR), predicting and controlling zoonotic and vector-borne diseases like rabies, yellow fever or malaria are examples of specific use cases of relevance to Africa.
https://www.giz.de/de/downloads/giz2024-en-Improving-Health-in-Africa-through-Intelligent-Data-Integration.pdf
Ongoing
January 2022
December 2025
The process to identify use cases, like Rabies in Malawi can be replicated. We started by assessing the data and digital ecosystems at different sectors(animal, human and the environment), highlighting the data avaiable, the operating digital systems and tools, the policies, opporunities and limitations. Then, we listed the One Health issues that the partners see as main priority, then we aligned the efforts to dive deeper into one use case based on the needs, and given the budget and timeline avaiable. Rabies was assessed thoroughly, which type of data exist, who is sharing this data, how, and then how can integrate the data and generate analysis for policy makers and better management. This is all documented and will be circulated at the end of the project as a standard methodogly to improve One Health data sharing.
All the One Health use cases are identified based on partners´ needs. This political willgness helps to mobilze further resources to combat these diseases and implement digital tools that based on avaiable resources. The program is also support the One Health Anayltics capacity development program to capacitate 20 professionals working on 5 different One Healthd diseases.
This project promotes WSIS values by leveraging digital health solutions and cross-sector data sharing to better improve One health approaches, targetted disease surveillance as well as collaboration across Africa. It fosters interoperability, evidence-based decision-making, and capacity building, ensuring inclusive digital transformation in line with WSIS Action Lines.
Deutsche Gesellschaft für International Zusammenarbeit (GIZ)
Germany — International Organization
https://www.giz.de/en/html/index.html
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