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Foster Collaboration and Learning Through Meetings: Catalyzing Joint Efforts in Gender-Equitable Data Modeling and Analytics.

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The participation of three PhD students from CAFHOMEC in the AMAX Summer School and Workshop 2025, held from May 1 to 16 at AIMS Limbe, Cameroon, marked a significant step in advancing gender-equitable data modeling and analytics. The event, themed “Empowering Women’s Health through Intelligent Epidemiology and Data-Driven Decision Making”, provided a platform for collaborative learning and skill-building in key areas such as:

  • Advanced Epidemiological Modeling: Techniques like spatio-temporal and stochastic transmission models were mastered to address disease spread in low-resource settings.
  • Machine Learning for Health: Participants gained tools to predict epidemics and optimize interventions.
  • Gender-Sensitive Data Analysis: The integration of gender statistics into modeling ensured equitable policy recommendations.

A pivotal group project focused on optimizing Senegal’s Covid-19 vaccination strategy and forecasting the 30-day spread of Covid-19 in Uganda, demonstrating the practical application of modeling to guide policymaking in resource-limited settings. Collaborations with global researchers further enriched perspectives on data-driven health solutions.

This initiative reflects CAFHOMEC’s mission to bridge research and policy through inclusive, evidence-based approaches.

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