Chapter 4: Statewide Occupancy and Demand Trends

1. Purpose#

To analyze 7-day, 30-day, and seasonal occupancy trajectories across Uttar Pradesh, forecasting epidemic pressures and regional capacity bottlenecks.

Aggregated longitudinal time-series data across all 75 districts.

State Epidemiologist, Integrated Disease Surveillance Programme (IDSP) Incharge, and NHM Planners.

Historical bed transition event logs and predictive analytics dashboard.

1. Open Trends and Analytics at `/state/dashboard`.

Click to Zoom

ID: state/s06_trends

📅 Screenshot Date: 27 Sep 2026

Examine occupancy trajectories across General, HDU, ICU, and NICU classifications.
Detect anomalous velocity spikes across specific districts indicating localized outbreaks (e.g., Dengue, viral encephalitis).
Issue targeted pre-surge directives to divisional additional directors to mobilize reserve capacity.

Weekly trend briefings submitted to the Executive Steering Committee every Friday.

Sudden atypical spikes must be cross-checked with hospital discharge backlogs before declaring an epidemic anomaly.

Longitudinal capacity archives, epidemic surge models, and official health advisories.