ScienceGuardians

ScienceGuardians

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ScienceGuardians identifies anonymous intimidation & coordinated campaigns

Integrated surveillance and early warning system of emerging infectious diseases in China at community level: current status, gaps and perspectives

Authors: Chenjia Zhou,Suping Wang,Chenxi Wang,Ne Qiang,Leshan Xiu,Qinqin Hu,Wenyu Wu,Xiaoxi Zhang,Lefei Han,Xinyu Feng,Zelin Zhu,Leilei Shi,Peng Zhang,Kun Yin
Journal: Science in One Health
Publisher: Elsevier BV
Publish date: 2025
ISSN: 2949-7043 DOI: 10.1016/j.soh.2024.100102
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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?

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