ArticleScientific data2026
Dataset for selecting surrogates of emerging biothreat pathogens in laboratory research.
Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Dataset for selecting surrogates of emerging biothreat pathogens in laboratory research.Scientific data · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Exposure to and transmission of biothreat agents is a serious concern with potentially devastating public health consequences. The rapid development of environmental countermeasure strategies is essential for mitigation efforts, as observed during the recent SARS-CoV-2 pandemic. Only a limited number of laboratories are equipped with the proper containment facilities to handle highly pathogenic biothreat agents. Resources such as Biosafety in Microbiological and Biomedical Laboratories (BMBL), the Bacterial Diversity Database (BacDive), and the International Committee on Taxonomy of Viruses (ICTV) contain information on bacteria and viruses to aid researchers in selecting non-pathogenic surrogates for laboratory testing aimed at modeling pathogenic agents of interest and developing risk mitigation strategies. Currently, no single, comprehensive dataset exists that includes bacterial and viral surrogate candidates for experimental use. Thus, data from BMBL, BacDive, ICTV, and other available data sources were retrieved and culled to create the Biothreat Surrogate Alignment (BSA) dataset, a set of pertinent surrogate data. Fields describing possible surrogates that would be most applicable to a specific threat are included.
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What OpenQuestion holds
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.