A Framework for Evaluating Implementation, Impact, and Cost-Effectiveness of Wastewater and Environmental Surveillance

Why It Matters

Standardized evaluation enables agencies to allocate resources efficiently, demonstrate impact, and build public trust in WES as a cornerstone of disease detection and response.

Key Takeaways

• Logic model based on 151 WES evaluations
• Aligns with Kellogg Foundation evaluation principles
• Targets disease burden reduction, bio‑event risk, system resilience
• Guides planning, scaling, and performance measurement
• Supports multiple evaluation types across diverse contexts

Pulse Analysis

Wastewater and environmental surveillance (WES) has moved from a niche research tool to a core component of infectious‑disease intelligence. By capturing viral, bacterial, or parasitic signatures in sewage, WES can flag community transmission days or weeks before clinical cases appear, giving decision‑makers a critical lead time. The rapid expansion of programs during COVID‑19 and subsequent outbreaks exposed a lack of standardized evaluation methods, leaving agencies uncertain about which investments deliver measurable public‑health returns. This uncertainty hampers scaling efforts and erodes stakeholder confidence.

The RAND analysis fills that gap with a modular logic model derived from 151 WES evaluations conducted between 2016 and 2025. Structured around the Kellogg Foundation’s inputs‑activities‑outputs‑outcomes framework, the model maps resources such as laboratory capacity and data‑analytics platforms to concrete activities like sample collection protocols and community engagement. It then links these to short‑term outputs—timely pathogen detection and reporting—and to three ultimate outcomes: reduced infectious‑disease burden, lowered risk from catastrophic biological events, and enhanced public‑health system resilience. The design accommodates formative, process, and impact evaluations, allowing programs to track performance at any stage.

For public‑health agencies, the framework offers a practical roadmap to justify budget allocations and to communicate value to elected officials and the public. By quantifying inputs and linking them to health outcomes, decision‑makers can conduct cost‑effectiveness analyses that compare WES to traditional clinical surveillance or to other mitigation strategies. Moreover, the model’s flexibility supports incremental scaling—from pilot sites to national networks—while preserving data integrity and community trust. As pathogens evolve and climate‑driven spillovers increase, a rigorously evaluated WES infrastructure will become indispensable for rapid, evidence‑based response.