List Angolan provinces under surveillance with their epidemiological stratum.

Strata come from K-means clustering of historical burden: 'high', 'moderate' or 'low'. Use this first to resolve province names before calling other tools.

Return weekly malaria incidence history for one province.

Args: province: Province name, case-insensitive (e.g. "Luanda", "moxico"). start_week: Optional ISO date (YYYY-MM-DD) lower bound. end_week: Optional ISO date (YYYY-MM-DD) upper bound. max_weeks: Cap on returned rows, most recent first. Defaults to 52.

Returns incidence per 1,000 population and the rainfall driver per week.

Forecast weekly malaria incidence 1-8 weeks ahead, with 80% intervals.

Args: province: Province name, case-insensitive. horizon_weeks: Forecast horizon, 1 to 8. Horizons beyond the validated range are refused rather than extrapolated.

Every point carries an empirical 80% interval derived from rolling-origin backtest residuals. Read malaria://model-card for validation details and known failure modes before acting on these numbers.

Flag recent weeks running above the same-calendar-week seasonal baseline.

Args: province: Province name, case-insensitive. lookback_weeks: How many recent weeks to screen. Defaults to 12. sigma: Standard deviations above the seasonal baseline required to flag.

A flag means "high for this time of year", compared against the same week in prior years -- not merely "high in absolute terms".

Rank provinces by forecast incidence to support prioritisation.

Args: horizon_weeks: Horizon to compare on, 1 to 8. top_n: How many provinces to return, highest forecast first.

Use this to answer "where should we pre-position resources", then drill into a single province with forecast_incidence and detect_outbreak_signals.