ArticleEmerging infectious diseases2025
Leveraging a Strategic Public-Private Partnership to Launch an Airport-Based Pathogen Monitoring Program to Detect Emerging Health Threats.
Article in Emerging infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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
2 citing papers in PubMed.
- An Advanced Molecular Detection Roadmap for Nonlaboratorians.Emerging infectious diseases · 2025Article
- Genomic surveillance of SARS-CoV-2 variants using pooled WGS.Scientific reports · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Airport-based pathogen monitoring is a critical tool that can contribute to early detection and characterization of existing and new pathogen threats. A novel public-private partnership between an airport spa group, a biotech company, and the Centers for Disease Control and Prevention was instrumental in establishing a multimodal pathogen genomic surveillance program at US international airports. That public-private partnership addressed critical challenges that neither party could overcome independently, resulting in the development and deployment of a scalable, flexible early warning system for pathogen detection and public health monitoring.
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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 OpenQuestion graph.