This white paper explains the challenge of biological early warning: the earlier a system tries to detect an event, the less complete the evidence usually is. It argues that individual signals, such as wastewater, emergency-department trends, pharmacy purchases, or behavioral indicators, can be useful but aren't sufficient on their own because each has different biases, timing, coverage, and failure modes.
The paper's central idea is biological intelligence: combining independent streams of information, establishing baselines, looking for meaningful departures, and increasing confidence when multiple streams tell the same story. It describes corroboration as the move from isolated observations to evidence, and it frames the analytical goal as synthesis rather than simply collecting more data.
The paper also outlines an intelligence process that moves from baseline to anomaly, corroboration, characterization, confidence assessment, and alert. It emphasizes that confidence should rise with evidence so decision-makers can respond proportionately, from closer monitoring to broader operational action, and it presents BioRadar as an intelligence layer across multiple streams rather than a single-modality monitoring program.