Lassa-Watch

LassaWatch is an end-to-end Lassa fever surveillance pipeline tracking outbreak data across 8 high-burden Nigerian states (Ondo, Edo, Bauchi, Taraba, Ebonyi, Plateau, Benue, Kogi) from 2021–2025. It ingests NCDC epidemiological data, Open-Meteo climate data, and healthcare infrastructure metrics, then transforms and joins them into analytical mart tables that reveal CFR trends, attack rates, and seasonal outbreak patterns. Bruin features used: Python assets for multi-source ingestion, DuckDB SQL assets for staging and mart layer transformations, asset dependencies (full DAG), data quality checks (not_null, positive, accepted_values), custom checks, table materialization, and Bruin MCP connected to Claude Code for AI-powered pipeline analysis.