Modeling a future free of Neglected Tropical Diseases
Building modeling capacity across Africa through training, mentorship, and responding to country-specific requests to empower local decisions on NTD strategies.
Hosted by Center for Epidemiological Modelling and Analysis (CEMA)
Shaping Africa's Health Future with Data-Driven Insights.
AM2NTD is empowering African nations by building vital NTD modelling capacity, bridging the gap between data and effective health strategies.
Explore Our Impact
Despite significant progress, NTDs remain a critical public health challenge in Africa, with approximately 40% of the global NTD burden concentrated on the continent, affecting over 500 million people
"Up to 90% of NTD cases in Africa are caused by lymphatic filariasis (elephantiasis), onchocerciasis (river blindness), soil-transmitted helminthiasis, schistosomiasis, and trachoma."
Our Solution : Data driven approaches
AM2NTD leverages modeling to transform data into actionable insights, enabling:
- Optimized Resource Allocation: Maximize impact with available resources
- Targeted Interventions: Focus efforts on high-risk areas and populations.
- Predictive Insights: Forecast outcomes and adapt strategies proactively.
NTDs burden
Neglected Tropical Diseases continue to affect millions across Africa, highlighting the urgent need for targeted, evidence-based interventions powered by modeling.
Affected African Countries
People at Risk
Treatment delivered
Key NTDs Targeted
Countries Progress Towards NTD Elimination
Global Elimination Milestones
Significant progress has been made in the global fight against NTDs, with 17 African countries successfully eliminating at least one NTD as a public health problem.
Overarching global targets
Establishing Top-line targets for NTDs, in line with the Sustainable Development Goals and WHO’s 13th General Programme of Work
Our work directly supports the global effort to reduce the burden of neglected tropical diseases through data-driven modeling approaches.
"The roadmap sets global targets and milestones to prevent, control, eliminate and eradicate 20 neglected tropical diseases and disease groups."
Key 2030 Targets
90% reduction
in people requiring interventions against NTDs
100 countries
achieving elimination of at least one NTD
75% reduction
in disability-adjusted life years related to NTDs
2
Number of neglected tropical diseases eradicated
OUR PROJECTS
Explore our key initiatives under AM2NTD, designed to tackle Neglected Tropical Diseases across Africa.
Latest News, Updates & Stories
Stay informed about our ongoing projects, research findings, and upcoming events in the field of NTD modeling across Africa.
AM2NTD Fellow Training in Nairobi Ramps-up Efforts Towards Schisto Elimination in Senegal
AM2NTD Fellow Training in Nairobi Ramps-up Efforts Towards Schisto Elimination in Senegal
CEMA Conducts Key Schistosomiasis Study in Kenya’s Migori & Kwale Counties
CEMA Conducts Key Schistosomiasis Study in Kenya’s Migori & Kwale Counties
PhD Fellow Joy Kalekye Earns Acclaim at InCORNTD
PhD Fellow Joy Kalekye Earns Acclaim at InCORNTD
Our Partners
We collaborate with leading organizations and institutions across Africa and globally to strengthen NTD modeling capacity and its application.
Frequently Asked Questions
Find answers to common questions about AM2NTD's work, approach, and how to get involved.
The Africa Modelling Network for Neglected Tropical Diseases (AM2NTD) is an international network of infectious disease modellers across sub-Saharan Africa dedicated to fighting NTDs. We build modeling capacity across Africa through training, mentorship, and responding to country-specific requests to empower local decisions on NTD strategies.
Get In Touch
Have questions about our work or interested in collaboration? Fill out the form below and our team will get back to you.
Contact Information
Our team is dedicated to building modeling capacity for NTDs across Africa. Get in touch with us to learn more about our work or explore collaboration opportunities.
Visit Us
Center for Epidemiological Modelling and Analysis
University of Nairobi,
Kenya