Public Health Signal Intelligence
MERIDIAN
Monitoring Emergency Response,
Indicators, and Data Intelligence
Analytics Network
A geospatial signal intelligence platform for overdose prevention in San Francisco — integrating 16 public data sources to produce neighborhood-level indicators that help public health agencies, harm reduction organizations, and EMS providers see where risk is concentrated, how conditions are changing, and where resources are misaligned with need.
San Francisco 2025
All-time record high
death rate vs. citywide
integrated by platform
Free at every tier
A nonprofit at the intersection of mobile health, emergency medical services, public health technology, and disaster operations.
1012 Torney Ave · San Francisco, CA 94129
What EMERGENZ Meridian Is
Measurement infrastructure,
not advocacy.
EMERGENZ Meridian is a geospatial signal intelligence platform — not a decision-making system, not an evaluation of any organization's performance, and not a policy advocacy tool. It produces signal indicators: measurable, traceable, reproducible outputs derived entirely from public government data.
Every score component traces to peer-reviewed literature or a validated government index. Every weighting decision is documented, versioned, and published under Creative Commons Attribution 4.0. Every API response carries a mandatory signal disclaimer that is architectural, not decorative.
The platform is built to fill a specific and documented gap: San Francisco has no integrated, real-time, multi-source overdose intelligence system comparable to what Seattle, Rhode Island, and King County have already built.
- A decision-making system
- An evaluation of agency or unit performance
- A causal attribution tool
- A policy advocacy platform
- A surveillance system of individuals
- A multi-source signal intelligence layer
- A geographic condition monitoring system
- An early warning infrastructure for novel synthetics
- A resource alignment diagnostic
- An open-source civic data utility
Five Scoring Modules
One architecture.
Five dimensions of the same problem.
Each module addresses a distinct aspect of overdose prevention intelligence. All five share a common data pipeline, API layer, and signal-not-verdict framework.
Composite neighborhood-level risk signal combining social vulnerability, economic distress, 311 complaint activity, and EMS overdose demand.
System-level signal of EMS demand-resource alignment by neighborhood. Not a unit evaluation — a geographic diagnostic.
Maps naloxone access points against overdose call density. Identifies coverage deserts within walkable distance of known risk zones.
Pre/post measurement of observable service patterns around permanent supportive housing. Pre-publication review required.
Three-tier early warning system for novel synthetic opioid emergence. Combines EMS dispatch anomalies, OCME preliminary toxicology, and (Phase 2) DPH wastewater surveillance into tiered alerts.