Welcome to AMMnet!

Building a community of malaria modelers, analysts, and partners

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AMMnet, the Applied Malaria Modeling Network, is a professional association for people interested in malaria data analytics and modeling, especially as applied to practical problems. We are a community of practice that learns and grows together in the use of data and evidence in the fight against malaria.

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2000+
active members
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7
National chapters
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80%
members in malaria-endemic countries
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2022
Year Founded

Our Mission

The Applied Malaria Modeling Network (AMMnet) is a community of malaria modelers, data analysts, and partners who develop, apply and use quantitative tools to inform decision-making and operations in malaria-endemic countries. AMMnet fosters an open and respectful collaborative forum for learning and knowledge-sharing with the goal of improving the quality of analytical support offered to malaria programs and advancing general malaria research.

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Upcoming Events

AMMnet offers a variety of opportunities for members to connect and collaborate, through in-person meetings, educational seminars, hackathons, and other engaging virtual events.

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September 30, 2026
Registration open
Upcoming
Upcoming
Hackathon: DHIS2 From Scratch: From an Empty System to a Working Dashboard

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.

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New Membership
Registration

Join AMMnet to become part of a vibrant community of malaria modelers, data analysts, and partners working across a range of skills and career levels to strengthen analytical support for malaria programs and advance malaria research. As a member, you’ll receive our monthly newsletter, invitations to monthly seminars, special virtual events, and our annual in-person meetings. You’ll also be notified about opportunities such as grant funding, job openings, and training programs. Membership also gives you a voice in AMMnet’s strategic direction—whether by serving on a Committee or Task Force, or even joining the Board.

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