The proposed “multi-trigger” surveillance system is presented as a conceptual diagram, but its scientific utility is severely limited by a critical omission: the complete lack of defined operational parameters.
Specifically, the study fails to specify the decision-making algorithms and quantitative thresholds that would transform collected data into an actionable warning. For example:
What specific increase in positive PCR tests from livestock, combined with what density of vector mosquitoes detected by remote sensing, constitutes a “trigger”?
What is the statistical model or algorithm that weights and synthesizes these disparate data streams (environmental, veterinary, clinical) into a single risk score?