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Community

AHADI works to connect, catalyze and support the vast national and regional talent in Africa, by collaborating closely with our partners, building an open database of skilled and trusted analytical talent and by creating and supporting communities of practice around applied health analytics.

Knowledge Networks

We believe that providing platforms for those who are passionate about applied health analytics to interact whether they are users, analysts, or both – will give everyone the opportunity to learn and improve together.

Applied Malaria Modeling Network

The Applied Malaria Modeling Network (AMMnet) is a global community of malaria modelers, data analysts, and partners who develop, apply and use quantitative tools to inform decision-making and operations in malaria-endemic countries. AMMnet fosters an open and respectful collaborative forum for learning and knowledge-sharing with the goal of improving the quality of analytical support offered to malaria programmes and advancing general malaria research.

Founded in 2022, AMMnet has over 1500 members in 72 countries. 78% of members are residents of LICs or LMICs. AMMnet organizes virtual and in-person events to facilitate opportunities for members to learn from each other and from the global malaria and analytics communities. Local chapters provide opportunities for members to interact in person and adapt their activities to serve local needs.



AHADI hosts AMMnet’s secretariat, which provides administrative and operational support to AMMnet’s Board and members as they lead AMMnet’s strategic direction and activities.

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Talent Database

Our talent database is a directory of recommended individuals and institutions who have worked with or been trained by AHADI to deliver high-quality analytical outputs. Those who are looking for analytical talent may browse the database to identify individuals with the appropriate skillset.

coming soon
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Partnerships

We collaborate with partners at national, regional, and global levels to deliver solutions and institutional capacity in public health data and analytics for countries.

We’re excited by the vast talent in public health data analytics in Africa.

We are working to strengthen the practice of evidence-informed health priority-setting in Africa.

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