Events Calendar

Can safer radical cure also be more cost-effective? Explore how health economics is informing evidence-based malaria policy and accelerating Plasmodium vivax elimination in Indonesia. The radical cure of Plasmodium vivax requires treatment of the dormant liver stages with either primaquine or tafenoquine but is constrained by the risk of severe hemolysis in patients with glucose-6-phosphate dehydrogenase (G6PD) deficiency. A revised case-management package was designed to support safe radical cure in Indonesia, and included G6PD screening, targeting high dose primaquine and early clinical review. This presentation will explore the usefulness of health economics within malaria policymaking, while presenting results of this cost-effectiveness study in Indonesia.

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.

Malaria remains a major public health challenge in Benin, particularly among children under five, despite government efforts and the implementation of vector control interventions. This study, based on a modelling approach, assesses the potential impact and effectiveness of introducing the RTS,S/AS01 vaccine in reducing malaria morbidity in the Couffo department. The multi-disease epidemiological model (EMOD) was calibrated using entomological, epidemiological and climatic data collected between 2010 and 2023. The vaccine was incorporated in line with the Expanded Programme on Immunisation (EPI) strategy, enabling the monitoring of cohorts of children under five within 1,000 simulated populations. Nine scenarios combining different levels of coverage and vaccination schedules, as well as a baseline scenario without vaccination, were analysed using various statistical analyses with the R software (version 4.5.1).

This presentation will be in French. Deep within the dense forests of eastern Cameroon, the landscape is changing—and with it, the nature of the malaria epidemic. This study explores the logical signature of environmental disturbances caused by logging and mining. By analyzing 20 years of climate and satellite data (NASA), we seek to understand how abandoned mine pits and gaps in the canopy create highways for the Anopheles mosquito. Using an innovative tool, the Tetradic Conceptual Atlas, we go beyond traditional statistics to visually model the vector’s temporal response to environmental shocks. Our goal is to provide the 14 health districts in the East with a tool for a detailed understanding of their specific vulnerabilities, enabling vector control measures better adapted to local conditions.