Daily symptom checks and instant Ebola risk alerts for Ugandans
Uganda's Ebola outbreak is accelerating with three new confirmed cases including fatal transmission through a driver, threatening to spiral into a wider epidemic.
EboShield lets residents and healthcare workers log symptoms, temperature, and exposure daily through a simple mobile interface. It delivers personalized risk scores based on official Ugandan MoH protocols and pushes hyper-local outbreak alerts by district. The app works completely offline with periodic sync, making it reliable in low-connectivity areas around Kampala.
Ugandan residents and healthcare workers in Kampala and surrounding districts at direct risk of exposure
Offline-first architecture with Luganda language support and direct integration with current Ministry of Health case definitions, unlike generic symptom apps that require constant internet.
supportive
Quick questionnaire for symptoms, temperature, and recent contacts
Calculates risk score using decision-tree based on MoH guidelines
District-specific notifications about new cases or exposure zones
Full functionality without internet, syncs when connection returns
One-tap suspected case reporting with GPS (optional)
Illustrated guides and videos in English and Luganda
Interface for logging multiple patients during shifts
Monitor symptoms for up to 4 family members
Visual history of your daily risk scores
Record symptoms via voice note for low-literacy users
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| phone | text | No |
| district | text | No |
| language | text | No |
| is_health_worker | bool | No |
| created_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| symptom_data | text | Yes |
| temperature | int | Yes |
| risk_score | int | No |
| logged_at | timestamp | No |
Relationships:
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| district | text | No |
| confirmed_cases | int | No |
| updated_at | timestamp | No |
| Column | Type | Nullable |
|---|---|---|
| id | uuid | No |
| user_id | uuid | No |
| report_type | text | No |
| status | text | No |
| created_at | timestamp | No |
Relationships:
/api/logsSubmit symptom log and receive risk score
/api/alertsGet personalized and district alerts
/api/districts/statusFetch latest case numbers by district
/api/reportFile suspected case or exposure report
3 logs per week, no push alerts
None
Up to 8 workers per facility
| Month | Users | Conversion | MRR | ARR |
|---|---|---|---|---|
| Month 1 | 680 | 7% | $1,666 | $19,992 |
| Month 6 | 4,850 | 11% | $18,655 | $223,860 |
Daily Ebola symptom tracking with offline alerts designed for Kampala and surrounding districts.
Partner with 5 Kampala clinics to onboard their staff as beta users with free Facility tiers for 90 days in exchange for testimonials. Attend community health meetings in affected districts (Mubende, Kasanda) through Red Cross networks. Offer free Pro access to 200 residents via targeted Facebook ads in high-risk WhatsApp groups.
Official global data
Generic, not personalized or offline-first for daily use
Daily personal tracking tool built specifically for Ugandan districts and languages
Official channel
One-way information, no personal risk scoring or logging
Interactive, personalized experience with two-way reporting
Growing dataset of anonymized, district-level symptom reports that continuously improves the risk model. Official data-sharing MoUs with district health offices create regulatory defensibility.
The current acceleration of Ebola with driver-related fatalities has created immediate panic and information gaps that generic tools cannot fill. Smartphones are now common enough in Kampala districts to support a mobile solution.
Handling personal health data under Uganda Data Protection Act
Use end-to-end encryption, clear consent flows, and consult local legal expert before launch
Low trust in new health apps during outbreak
Secure endorsements from MoH and local doctors, transparent algorithm documentation
Inaccurate risk scoring causing harm
Strictly follow MoH clinical decision trees with multiple disclaimers and escalation to human hotline
Success: 75% say they would use daily and 60% would pay $35/mo
Success: 45% daily active users and NPS above 40
Success: 1500 downloads and 120 paid conversions in first 30 days
Other validated startup ideas you might find interesting
Workflow OS for Uganda's Ebola frontline healthcare workers
Verified community intelligence to contain Ebola outbreaks
Recruit verified beta testers for your healthtech app without app store hurdles
Partner with clinics for trusted early users in your health app
Build interactive demos with AI patients to prove health app value pre-users
HIPAA-compliant authentication for solo healthtech founders – no compliance headaches.