JMIR Publications

ABSTRACT

Effective infectious disease control rests on a foundational principle: no measurement, no understanding; no understanding, no control. The COVID-19 pandemic exposed, with devastating clarity, how thoroughly this principle can fail in public health practice. Transmission chains spread invisibly; contact histories, mobility patterns, and biosignals essential for control were never systematically collected. The necessary sensors and digital technologies existed — the fundamental reason measurement failed was not the absence of technology, but the absence of privacy infrastructure that would allow people to share data with confidence. This failure has structural roots. The objects of measurement in infectious disease control are not physical phenomena but human beings, and measurement therefore inevitably engages the core of privacy: contact histories, social relationships, and bodily states. This asymmetry — whereby greater measurement precision deepens privacy intrusion — manifested acutely in COVID-19 contact tracing apps. Designs that prioritized privacy lost epidemiological utility; designs that prioritized utility were rejected through public distrust. Neither direction achieved sufficient measurement. This Viewpoint reframes the problem. Privacy protection is not a constraint that impedes infectious disease control; it is the enabling condition upon which effective measurement depends. Existing regulations and technical approaches were not designed from this premise, and have therefore been unable to break the cycle of structural distrust. As one institutional approach to filling this gap, we present VRAIO (Verifiable Record of AI Output), which integrates democratic rule-setting, metadata declaration, independent third-party verification, tamper-proof ledgers, and violation-deterrence incentives. When privacy infrastructure is established, the foundational scientific principle "no measurement, no understanding; no understanding, no control" will begin to operate freely in infectious disease control for the first time. This opens the path toward high-resolution epidemiology and precision intervention: a new public health paradigm that simultaneously pursues strengthened disease control and the preservation of individual autonomy and social freedom, without dependence on blanket social restrictions.