EpiSim
Africa

An Agent-Based disease Modeling system designed
to enhance preparedness
and localized pandemic response strategies
in underserved communities.

About us

Welcome to...

EpiSim Africa

Our Mission

Our mission is to transform how Underserved African Communities prepare for, detect, and respond to disease outbreaks — by leveraging real-time insights, local data, and community-centered design.

We aim to empower African regions with digital tools that are not only localized but also enable faster and smarter pandemic responses — especially in areas often overlooked by mainstream global systems.

Current challenge.

Underserved Communities

Ebola victim Pandemic sufferings Slums Face mask Handwashing Africa pandemic
Ebola victim Pandemic sufferings Slums Face mask Handwashing Africa pandemic

In underserved African communities, pandemics expose major gaps in preparedness and response. These regions lack localized, data-driven tools for early warning and real-time planning.

Most global models overlook Africa's unique social, environmental, and genetic contexts, making them ineffective for local decision-making.

Crises like COVID-19 have revealed these weaknesses, highlighting the urgent need for tailored solutions that protect the continent's most vulnerable populations.

What EpiSim Africa Offers.

Human Movement Mapping

Local Movement Patterns

EpiSim simulates how people move across rural and urban areas to model disease spread in real environments.

Social Interaction Modeling

Social Interactions

Agent-based modeling helps plan resource deployment like vaccines and PPE based on contact patterns.

Environment Simulation

Environmental Data

Factors like altitude, weather, and temperature are used to localize outbreak behavior in different regions.

Mobile Health Feedback

Community Reporting

Health workers and locals submit early reports that help detect outbreaks in real-time.

Simulated Drills

Community Training

Simulations teach communities how to react to outbreaks — improving preparedness and reducing panic.

Logistical Planning

Smart Resource Planning

Plan distribution routes for aid and health supplies in advance, ensuring faster delivery when time matters most.

Some questions you might have

What is Agent-Based Modeling?
Agent-Based Modeling (ABM) is a simulation approach where individuals ("agents") act independently based on rules, helping us understand how diseases spread in real-world communities.
What makes EpiSim different from other global pandemic tools?
Unlike generic global tools, EpiSim is tailored for African contexts—factoring in local environments, trust behaviors, mobility patterns, and languages.
Why is EpiSim needed now?
COVID-19 exposed major weaknesses in community-level response. We now have the tech and data to build tools that are localized, proactive, and more effective.
Who is EpiSim for?
Public health planners, NGOs, local governments, and community leaders in underserved African regions who need real-time insight to act fast during outbreaks.
How does EpiSim collect early warning data?
Through mobile-based symptom reporting from schools, clinics, pharmacies, and community health workers, allowing real-time alerts before full outbreaks.

Meet Our team.

Jude Prof pic

Jude Hunja

Team Lead
Backend Developer

Felix prof pic

Felix Nduati

Frontend
Developer

Wanjiku Prof pic

Wanjiku Kariuki

Researcher

Esther Prof pic

Esther Muthoni

Data Analyst

Nelson Prof pic

Nelson Kagochi

Graphic designer
Android developer

Alvin Prof pic

Alvin Gikunju

Backend developer

Partners

We value partnerships that drive innovation and collaboration. Partner with us to create impactful solutions, empower communities, and shape a brighter future.