Interactive outbreak simulator that proves why fortress strategies fail and trains teams on what actually works
International bureaucratic inertia and misguided "fortress" containment strategies allow Ebola to rapidly overwhelm African nations despite clear lessons from past outbreaks.
SimEbola lets global health policymakers and African response leads run thousands of containment scenarios calibrated against every major historical Ebola outbreak. It visually demonstrates the cascading failures of traditional fortress containment and teaches agile, adaptive strategies that reduce bureaucratic lag through automated escalation paths and pre-approved protocol triggers.
Global health policymakers, African epidemic response teams, and international aid organizations managing infectious disease outbreaks
The only simulator with a ground-truth dataset of response efficacy from 2014 West Africa, 2018-2020 DRC, and 2022 Uganda outbreaks, providing quantitative evidence against fortress thinking.
professional
Replay exact 2014-2022 Ebola scenarios with real parameters
Agent-based modeling of different containment approaches with visual outcomes
Quantifies delay costs of approval chains vs automated triggers
Guided scenarios that score decision quality against historical best outcomes
Executive view of simulation libraries and team training completion
One-click PDF/PowerPoint exports tailored for WHO or ministry presentations
Multiple stakeholders run the same scenario in real time
Build new outbreak scenarios from scratch
Immersive VR view of outbreak progression (WebXR)
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| id | uuid | No |
| name | text | No |
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| created_at | timestamp | No |
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Relationships:
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| id | uuid | No |
| org_id | uuid | No |
| user_id | uuid | No |
| scenario_id | uuid | No |
| parameters | jsonb | No |
| results | jsonb | No |
| created_at | timestamp | No |
Relationships:
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| id | uuid | No |
| name | text | No |
| base_year | int | No |
| is_public | bool | No |
| calibration_data | jsonb | No |
/api/simulateRun full simulation with chosen parameters
/api/scenariosList available historical and custom scenarios
/api/training/completeRecord training session and generate certificate
/api/briefing/exportGenerate PDF briefing from simulation results
5 simulations per month
For teams up to 15
Unlimited
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 85 | 18% | $535 | $6,420 |
| Month 6 | 520 | 22% | $4,004 | $48,048 |
Run thousands of Ebola scenarios calibrated to real outbreaks. Train your team on strategies that actually stop viral spread.
Offer free institutional licenses to universities with global health programs (Johns Hopkins, LSHTM, Makerere University) in exchange for case studies. Present the simulator at the next WHO Strategic Advisory Group meeting. Partner with the African Union Africa CDC to run national training workshops using the tool.
Very powerful general simulation
Not calibrated to Ebola realities or bureaucratic inertia
Purpose-built for infectious disease response with real historical calibration data
Strong global epidemic modeling
No focus on operational response tactics or bureaucracy modeling
Specifically teaches field response and policy decisions with scoring
Curated, continuously updated library of calibrated Ebola scenarios and efficacy data that becomes more valuable as more organizations contribute anonymized outcomes
Recent outbreaks have created political will for better preparedness training while browser-based high-performance computing (WebAssembly) now makes complex simulations accessible without expensive desktop software.
Perception as 'just another simulator' rather than decision tool
Heavy emphasis on training certification and real policy impact case studies
Simulation performance on lower-end devices
Progressive fidelity — simpler models for mobile, full models on desktop
Success: At least 12 agree current training is inadequate and would adopt new tool
Success: ≥80% of participants prefer it to current methods
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