Evidence to Impact: How Data Analytics Strengthens Stakeholder Engagement for Malaria Policy and Programme Impact

When

September 1, 2026

Time

15hr UTC

Zoom

Categories

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About the instructor:

Panelist – Dr. Payakissim Somiabalo (Abraham) Atekpe | Togo
Dr. Atekpe is the Coordinator of Togo's National Malaria Control Programme (PNLP), bringing the perspective of a national malaria programme on using evidence to inform programme priorities, engage stakeholders and strengthen malaria control efforts.

Panelist – Olivia Ngou | Cameroon
Olivia Ngou is the Founder and Executive Director of Impact Santé Afrique, an African-based, women-led non-governmental organization focused on health advocacy, community engagement and building transformative health programmes.

Panelist – Christophe Antonio Nkondjio | Cameroon
Christophe Antonio Nkondjio is a Senior Researcher at the Organization for the Coordination of the Fight Against Endemic Diseases in Central Africa (OCEAC), based in Yaoundé, Cameroon.

Panelist – Hannah Slater | United States
Hannah Slater is Director of Modeling and Data Analytics at PATH, working across its malaria and diagnostics programmes. She brings expertise in using modelling and analytical evidence to inform public health strategies and decision-making.

Moderator – Susan Rumisha | Tanzania
Susan Rumisha is a Principal Research Scientist, a geospatial modeller and a Lead of the Malaria Atlas Project (MAP) Dar at the Ifakara Health Institute in Dar es Salaam, Tanzania.

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Presentation Slides

Event Summary

This interactive panel discussion explores how data analysis, modelling, and evidence can strengthen stakeholder engagement and support more effective decision-making in the fight against malaria.The panellists discuss the importance of engaging stakeholders from the earliest stages of defining research questions and analytical priorities. They also examine how to translate complex findings into accessible and actionable messages, build trust and ownership around evidence, involve stakeholders in interpreting results, and develop partnerships that extend beyond individual projects and funding cycles.The session emphasizes that scientific rigour alone does not guarantee the use of evidence. Meaningful impact also depends on the relevance of the analysis, clear communication, trust among stakeholders, and their continuous engagement.

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