ArticleViruses2026
Active Participatory Surveillance for Early Detection of Notifiable Pathogens: A Case Study of the U.S. Swine Industry.
Article in Viruses, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
8 authors.
Funding
Abstract
The continued global spread of WOAH-listed pathogens via trade, transport, and travel calls for the implementation of biosecurity measures to protect the health of our national livestock industries, plus ongoing surveillance to verify that such measures are operative. Despite this urgency, surveillance must be practical and affordable. Herein, we evaluated the performance and cost of participatory surveillance, a nontraditional surveillance design, using the U.S. swine industry as an example. In this context, "participatory" meant that herd veterinarians and/or producers collected and submitted samples from the herd to accredited laboratories for testing. To create an infected population (Phase 1), we simulated the introduction and spread of an unspecified notifiable pathogen within the 48 contiguous U.S states (66,637 swine farms, within 8,080,470 km
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.