Events Calendar

Next-generation malaria interventions are advancing faster than the systems expected to deliver them. Effective products alone are not sufficient: countries also need the institutional capacity to regulate, finance, procure, distribute and monitor new tools sustainably. The Africa Readiness Index is a multi-domain framework assessing national preparedness across governance, regulatory capacity, supply chain infrastructure, health workforce readiness, domestic financing, pharmacovigilance and political commitment. Applied across ten high-burden African countries, it reveals a structural inversion the countries carrying the greatest malaria burden score lowest on readiness, with domestic financing consistently the weakest domain. This presentation introduces the framework, discusses its country-level findings, and considers how readiness assessment can help governments, funders, product developers and implementation partners identify and address system bottlenecks before new interventions arrive. his presentation is in English and there will be real time interpretation into French. Participants can also activate the CAPTIONS feature on Zoom for translation into their language of choice.

Transforming epidemiological data into useful information for decision-making is essential to strengthening public-health surveillance. This presentation explores the journey “from database to decision,” highlighting how the systematic organisation, analysis and interpretation of data can generate evidence to identify trends, detect warning signals, characterise epidemiological patterns and guide public-health responses. The presentation will introduce key principles and practical examples of epidemiological data analysis, covering the process from data quality assessment and preparation to the production of indicators, visualisations and interpretations that support timely decision-making. It will emphasise how high-quality data, when appropriately analysed and transformed into actionable information, can contribute to surveillance systems that are more efficient, responsive and evidence-based. This presentation is in Portuguese only and registered participants can activate the CAPTIONS feature on Zoom for translation in their language of choice.

Insecticide-treated mosquito nets are a key intervention in the fight against malaria, and a new generation of nets has been in use for several years to address resistance to pyrethroids. However, efficacy measured under experimental conditions is not sufficient to predict the impact achieved in real-world settings: beyond the active ingredients they contain, the characteristics of local Anopheles species, durability, access to and use of the nets, and even their distribution methods can significantly influence this impact. In this presentation, we will demonstrate how modelling can be used to quantify these various factors and to approximate real-world implementation conditions, thereby supporting decision-making. This presentation is in French only and registered participants can activate the CAPTIONS feature on Zoom for translation in their language of choice.

This hackathon will focus on building a complete health reporting system in DHIS2, starting with an empty instance and ending with a dashboard that a program can use to inform action. Participants will set up DHIS2 on their own laptops using Docker and then work through the full configuration workflow: building the organizational unit hierarchy manually and through CSV import, creating data elements and category combinations, designing data sets and data entry forms, entering and validating aggregate data, and constructing indicators that turn raw counts into comparable rates. These skills apply to any health program, whether immunization, maternal and child health, HIV, TB, or disease surveillance. Malaria routine data, including suspected cases, testing, confirmed cases and treatment, will serve as the worked example throughout, demonstrating how each piece of metadata connects to the next and how configuration choices shape what a program can ultimately see and use for decision-making. Participants will also explore case-based data entry through event programs; custom form design using HTML, CSS and JavaScript; analysis using the Data Visualizer and Maps apps; and the assembly of a two-column program dashboard. The training will also cover user management, data export, system customization, and extending DHIS2 through the App Hub. All topics will be taught through hands-on exercises that reinforce each step before participants move on to the next. 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.

This presentation will provide an overview of the current malaria situation in Bangladesh and the country's progress towards elimination, highlighting major achievements as well as the epidemiological, geographical, operational and vector-related challenges that characterize the last mile of elimination. Particular emphasis will be placed on the evolving role of surveillance and data analytics in programme decision-making. The presentation will demonstrate how case-based surveillance, case investigation, focus identification and classification, GIS-based mapping, spatial and temporal analysis, entomological information and other programme data can be integrated to identify transmission risks, prioritize high-risk locations and populations, guide Focus Investigation and Focus Response, and optimize the allocation of limited programme resources. The presentation will also highlight the importance of timely conversion of surveillance information into operational action and the need to sustain surveillance intensity even when malaria incidence becomes very low. Finally, the presentation will draw lessons from Bangladesh's experience that may be relevant to malaria elimination and control programmes in Africa and other endemic regions. These lessons will focus on the importance of moving from aggregate case reporting towards case-based and spatially informed surveillance; linking every detected case with an epidemiological investigation; using local-level data to guide targeted interventions; integrating epidemiological, GIS and entomological intelligence; maintaining preparedness for imported malaria and prevention of re-establishment; and strengthening the capacity of health systems and local programme teams to translate data into timely action. The overarching message will be that the last mile of malaria elimination is fundamentally a data-driven and response-driven endeavour: finding every case, understanding every transmission event, responding to every focus and maintaining the surveillance capacity required to prevent malaria from returning. This presentation is in English and registered participants can activate the CAPTIONS feature on Zoom for translation in their language of choice.