Events Calendar

Join the first AMMnet Lusophone Hackathon, organized by AMMnet’s Lusophone Leadership Team. This hands-on, interactive session will introduce participants to the principles of reproducible biomedical data analysis using R and Quarto, two open-source tools that enable the creation of transparent, automated, and easily shareable analytical workflows.Throughout the Hackathon, participants will learn to: Organize a complete data analysis pipeline; Integrate code, statistical results, and text into a single dynamic document; Produce professional, reproducible, and easily shareable reports; Apply best practices in project organization, documentation, and reproducible research, which are increasingly valued in biomedical research and public health. Whether you work with surveillance data, clinical trials, or epidemiological studies, this Hackathon will provide practical skills that can be applied immediately to improve the quality, transparency, and reproducibility of your analyses. The session is intended for participants with basic to intermediate knowledge of R. Participants are expected to know how to run scripts in R and use RStudio. No prior experience with Quarto is required. The session will be recorded and made available to all AMMnet members via the AMMnet Hackathon Blog. This Hackathon is taught in Portuguese, but we invite instructors of other languages to lead sessions. Reach out to info@ammnet.org if you are interested in leading a session.

We are inviting all AMMnet members to our next General Assembly, where we will present and vote on a proposed revision to AMMnet's bylaws — specifically, a change to the length of Board member terms.

Join AMMnet in celebrating Pan-African Women's Day with an inspiring panel discussion featuring the women driving progress in malaria control through data analytics, epidemiology, modelling, artificial intelligence, and public health innovation. This interactive session will bring together leading women scientists and public health experts from across Africa and Asia to share their career journeys, discuss the evolving role of data in malaria elimination, and inspire the next generation of women leaders in STEM. WHAT TO EXPECT: The session will include a live panel discussion, audience Q&A, and interactive polls, creating an engaging conversation on women driving progress in malaria research and public health Whether you are a student, researcher, programme implementer, policymaker, or data scientist, this seminar offers valuable insights and networking opportunities. Technical & Leadership Perspectives -- Career Journey & Breaking Barriers -- Mentorship & Representation. Note: The panel will be conducted in English, but members can activate the CAPTIONS feature in Zoom for real-time translation to the language of their choice.

This presentation will be in French. This presentation focuses on the use of data for Subnational Tailoring (SNT) in Togo in 2025, an approach recommended by the WHO to tailor malaria control interventions to local realities rather than applying one-size-fits-all strategies. It outlines the context of SNT in Togo in 2025, as well as the types and sources of data used. It then details the processes for data validation and quality control, epidemiological stratification, and the prioritization and deprioritization of interventions, based on criteria such as incidence, access to care, and coverage of past interventions. It concludes with the key takeaways from the 2025 exercise, the challenges encountered, and the lessons learned.

Ready to take your R skills further? This hands-on AMMnet Hackathon will guide you through building a fully interactive malaria dashboard using R Shiny and the modern bslib framework — from app structure and UI design to reactivity and web deployment. Over two focused hours, you'll work through the core building blocks of Shiny development: constructing user interfaces with input controls and outputs, implementing reactive expressions so your dashboard responds dynamically to user interactions, and deploying your finished app to the web via shinyapps.io. The session draws on realistic simulated malaria data modeled on real epidemiological patterns for Burkina Faso, giving you practical experience applying these tools in a malaria context. This session is designed for participants with advanced R experience. If you're already comfortable in R and ready to build something shareable and interactive, this is for you. Register to join us on 23 July and leave with a working dashboard — and the skills to build the next one. The session will be recorded and made publicly available to all AMMnet members via the AMMnet Hackathon Blog. This Hackathon is taught in English, but we invite instructors of other languages to lead sessions. Reach out to info@ammnet.org if you are interested in leading a session in French or Portuguese. The session will be recorded and made publicly available to all AMMnet members via the hackathon blog. This Hackathon is taught in English, but we invite instructors of other languages to lead sessions. Reach out to info@ammnet.org if you are interested in leading a session in French or Portuguese.