Why This Matters
Sickle cell disease burden varies enormously by geography, but most programs operate without spatial intelligence. A state with high SCD prevalence may have adequate specialist coverage in the capital city but zero treatment options in rural LGAs. Crisis hotspots may correlate with environmental factors, healthcare deserts, or drug supply disruptions — but without geographic visualization, these patterns remain invisible. Resource allocation decisions are made based on population size or political considerations rather than actual disease burden, leading to chronic underservice of the communities that need help most.
How Tracka Solves This
A systematic approach to transform challenges into measurable outcomes.
Map Your Registry
Every patient, facility, and field agent in Tracka is assigned to the 6-level geographic hierarchy: Country, State, LGA, District, Ward, and Facility.
Visualize Disease Burden
Heat maps show SCD prevalence, genotype distribution, crisis frequency, and patient density at every geographic level with interactive drill-down.
Identify Access Gaps
Overlay patient locations with facility coverage, specialist availability, and hydroxyurea supply data. Instantly see communities that lack adequate SCD care.
Detect Crisis Hotspots
Real-time geographic monitoring flags communities experiencing unusual crisis frequency — enabling rapid response deployment to emerging hotspots.
Optimize Resource Placement
Use geographic analytics to determine optimal locations for new clinics, screening camps, field agent assignments, and drug distribution points.
Track Coverage Over Time
Monitor how your geographic coverage evolves quarter over quarter. Measure expansion into underserved areas and track the impact of new facility additions.
Built-In Tools for This Use Case
Every capability is purpose-built for sickle cell disease workflows.
6-Level Hierarchy
Country, State, LGA, District, Ward, and Facility — comprehensive Nigerian geo data with smart cascading filters at every level.
Crisis Heat Maps
Visualize vaso-occlusive crisis frequency geographically. Identify communities with disproportionate crisis burden for targeted intervention.
Prevalence Dashboards
See SCD patient density, genotype distribution, and treatment coverage rates overlaid on geographic maps.
Facility Coverage Analysis
Map patient locations against facility catchment areas. Identify underserved populations outside reasonable travel distance.
Agent Territory Mapping
Visualize field agent assignments, coverage areas, and activity patterns. Optimize territory boundaries for maximum efficiency.
Genotype Distribution Maps
Map the geographic distribution of all 9 hemoglobin genotypes. Target carrier screening programs where prevalence is highest.
States Mapped
Facilities Geolocated
Hierarchy Levels
Patients Geo-Tagged