Flagship program

Uganda: district-led AI-assisted surveillance

VCI works with national and district-level surveillance stakeholders to expand AI-assisted mosquito surveillance — training-of-trainers, district implementation, community participation through village health teams, and integration into routine systems.

  • Adjumani & Mayuge districts · 48 VHTs · 240 households (2023–24 evaluation)
  • Training-of-trainers → district cascade → community collection
  • Offline-first VectorCam + centralized review
  • Objective: government-led, sustainable surveillance infrastructure
  • Model adaptable to different health systems
Implementation cascade
National engagement
Alignment with surveillance strategy & reporting needs.
District training-of-trainers
Entomology + device + data-quality training.
Community rollout
VHT-led collection, imaging & sync.
Integration
Routine systems, supervision & sustainability.
Status honesty: country presence below ranges from research to active implementation. We do not imply national-scale deployment where only research collaboration exists.
Country profiles

Where we work

* Nigeria & Laos status subject to confirmation. Outcomes, partners and milestones are placeholders until verified per country.

Implementation approach · Capacity building

How we implement

1 · Assess & align

Surveillance gaps, species priorities, reporting lines, connectivity and staffing — co-designed with programs.

2 · Train & equip

Training-of-trainers, SOPs, devices, QA supervision, local manufacturing where feasible.

3 · Integrate & sustain

Data into routine systems, district reporting, costing, and handover to government ownership.

Case studies coming soon

Field stories, photos and outcomes will be published per country as assets and approvals allow.

Discuss Country Implementation →