Ovitracker transforms ovitrap field readings into community-level dengue risk intelligence — on a live map, in real time, with an original algorithmic risk score designed for vector control operations.
A proprietary risk-scoring algorithm developed from operational surveillance experience in Jamaica. The BRS converts raw ovitrap field data into a single 0–100 community risk index — spatially weighted, temporally adjusted, and calibrated against PAHO/Caribbean standards.
The score is computed from seven weighted surveillance factors drawn from ovitrap field data, spatial trap coverage, inspection timing, historical trends, and site sensitivity. Two additional multipliers adjust for placement context and statistical confidence.
The result is a single, actionable number — updated in real time each time a field reading is submitted — that programme managers can act on without needing to interpret raw egg counts themselves.
Patent pending. The Bennett Risk Score methodology is the subject of provisional patent applications filed in Jamaica and the United States. Full technical documentation is available to verified research and institutional partners under a confidentiality agreement.
Output risk tiers mapped to standard vector control response levels
From field officer to programme director — Ovitracker supports the full surveillance workflow on web and Android mobile.
Community polygons colour-coded by current BRS risk tier update in real time as field readings come in. Programme officers can toggle overlays including wind-offset vector dispersal modelling, egg density heatmap, and satellite imagery.
Surveillance officers use the Android tablet app to log trap readings directly in the field. GPS coordinates, egg counts, and inspection dates are submitted with weather data automatically fetched from the trap location — no manual weather logging required.
Community-level egg count trends, BRS score history, trap positivity rates, and comparative risk rankings across the surveillance area. Export to CSV or GeoJSON for integration with national GIS platforms.
Administrators, programme officers, and field officers each have scoped access. Trap and community assignments control which data each officer can see and submit.
Every submitted reading triggers immediate BRS recalculation for the affected community. The map updates without manual refresh.
Register traps with GPS coordinates, site type classification, and sensitivity rating. Community polygons stored as spatial geometry for precise containment queries.
OpenWeather API data is automatically fetched at each reading submission using the trap's GPS coordinates — temperature, humidity, rainfall, and prevailing wind direction stored per reading.
All platform actions are timestamped and logged by user. Programme-level reports export to CSV. Community boundaries and BRS scores export to GeoJSON for national GIS integration.
Risk thresholds and weighting coefficients are parameterised for reconfiguration. Community polygon boundaries load from standard GeoJSON. API-first for MoH system integration.
A full-stack platform deployed on cloud infrastructure with a REST API, spatial database, and native Android mobile app.
The Bennett Risk Score is an original algorithm developed in operational conditions. Its formal validation and adaptation for other country contexts represents a significant research opportunity.
Retrospective validation against historical dengue case notification data in Jamaica. Prospective field study comparing BRS predictions to outbreak events.
Reconfiguration of thresholds and weighting for Caribbean, Latin American, Southeast Asian, and Pacific Island contexts. Full GeoJSON pipeline for new polygon boundaries.
Joint authorship on BRS methodology paper. Platform data and algorithm documentation available under research agreement. Provisional IP protection in place.
Proposed structure: primary supervision through an accredited doctoral programme, with Ovitracker's ongoing field data and platform development forming the basis of the dissertation. Open to co-supervision or partnership with any institution with relevant subject-matter expertise.
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