Real-Time Disease Surveillance for West Africa
Mobile-first platform transforming outbreak detection across Nigeria and West Africa. Detecting diseases 70% faster, saving lives through technology.
Disease outbreaks in West Africa kill thousands because they're detected too late
Outbreaks detected 3-4 weeks after they start. Traditional systems miss 70% of cases in rural areas.
No real-time surveillance. Paper-based reporting. Limited connectivity. Poor data sharing between states.
Lassa fever, meningitis, cholera outbreaks kill thousands annually due to delayed response.
Mobile-first disease surveillance platform built for Africa's realities
17,000 community health workers report cases directly from their smartphones. No paper forms. No data clerks. No delays.
Syncs automatically when connection available
Visual, touch-friendly, multi-language support
Automatic location tracking for outbreak mapping
React Native • Offline-First
TensorFlow • Python
Machine learning models analyze patterns and predict outbreaks 7-14 days in advance.
AI predicts disease from symptom patterns
Detects geographic hotspots automatically
Forecast outbreaks before they spread
DHIS2 is excellent for health facility management, but AfriHealth Sentinel is purpose-built for real-time outbreak detection
| Feature | AfriHealth Sentinel | DHIS2 |
|---|---|---|
| Detection Speed | 1-3 days ⚡ | 14-28 days |
| Platform | Mobile-first 📱 | Desktop-based 💻 |
| Offline Capability | 100% functional ✓ | Limited |
| Data Entry Time | 2 minutes | 10-15 minutes |
| Coverage | 80% population (community-level) | 30% population (facility-level) |
| AI/ML Built-in | Yes (disease prediction, outbreak detection) 🤖 | No |
| Cost per Person | $0.05 | $0.33 |
| Primary User | Community Health Workers | Data Clerks at Facilities |
| Training Time | 2 hours | 3-5 days |
| Best For | Real-time outbreak surveillance | Health facility management |
AfriHealth: CHWs report directly from villages using smartphones. No paper, no delays.
DHIS2: Paper forms → travel to clinic → data clerk entry → upload. Takes days or weeks.
AfriHealth: AI predicts disease from symptoms, detects outbreaks automatically, sends instant alerts.
DHIS2: Manual data review, weekly reports, epidemiologist analysis required.
Yes! They're complementary, not competing.
Community-level outbreak detection (fast & real-time)
API Integration
Facility-level health records (comprehensive & detailed)
Best of both worlds: Real-time surveillance + comprehensive records
Built with proven, scalable technologies
React Native
Django + PostgreSQL
Python + TensorFlow
AWS / Azure
Transforming public health across Nigeria
Nationwide coverage across Nigeria, preparing for West Africa expansion
Seeking partnerships with leading health organizations to bring AfriHealth Sentinel to life
Target: Primary Partner
Target: Technical Support
Target: Implementation
Target: Telecom Partner
Interested in partnering with us? Let's discuss how we can work together.
Explore Partnership OpportunitiesJoin us in transforming public health across West Africa. Whether you're a government, NGO, or health organization.