Epidemic Surveillance
Connect: DHIS2 + EWARS + Laboratory + Facility Reports
- Early anomaly detection
- Outbreak monitoring
- Geographic surveillance
Gnoselia connects documents, databases, scientific knowledge and information systems through Retrieval-Augmented Generation and Knowledge Graph technologies.
Critical knowledge, often fragmented across documents, databases and information systems. Gnoselia connects it.
Sources converge, are extracted, vectorized, linked, then reasoned over — down to a sourced answer.
"Malaria incidence increased by 28% in the selected health zones."
Scroll: scattered information connects, becomes a graph, then intelligence.
Scattered data, unconnected.
PDFs, spreadsheets, databases, information systems: the knowledge exists, but fragmented.
Extraction, embeddings and relationships: the dots connect into a Knowledge Graph.
The RAG engine reasons over the graph and produces a sourced, actionable answer.
Click a node (Ebola, Malaria…): its relationships light up and a panel details the entity and its sources.
Connect: DHIS2 + EWARS + Laboratory + Facility Reports
Connect: Guidelines + EMR + Drug DB + Literature
Connect: Facilities + HR + Medicines + Finance
Connect: Papers + Institutional Docs + Research DB
Gnoselia is not a chatbot: an AI grounded in reliable sources and real field experience, built to support real, on-the-ground decisions — on iOS and Android.
No identifiable patient data. Synthetic or aggregated data only.
Every answer cites its sources and graph relationships.
AI assists the decision; it replaces neither the clinician nor the expert.
Knowledge provenance, governance and scientific validation.
Rising fever cases, higher RDT positivity and above-normal seasonal rainfall — three zones with an unusual signal.