ArticleScientific data2024
An aggregated dataset of serial morbidity and titer measurements from influenza A virus-infected ferrets.
Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Limited 'heft' of weight-based outcomes in predicting influenza A virus disease severity in ferrets.PLoS computational biology · 2026Article
- Paired versus Single Housing of Ferrets (Mustela putorius furo) Does Not Influence Experimental Outcomes of Influenza A Virus Pathogenesis Studies.Journal of the American Association for Laboratory Animal Science : JAALAS · 2026Article
- Article
- Review
- Predictive models of influenza A virus lethal disease yield insights from ferret respiratory tract and brain tissues.Scientific reports · 2025Article
- Data alchemy, from lab to insight: Transforming in vivo experiments into data science gold.PLoS pathogens · 2024Article
- Machine learning approaches for influenza A virus risk assessment identifies predictive correlates using ferret model in vivo data.Communications biology · 2024Article
- Optimal thresholds and key parameters for predicting influenza A virus transmission events in ferrets.Npj viruses · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Data from influenza A virus (IAV) infected ferrets provides invaluable information towards the study of novel and emerging viruses that pose a threat to human health. This gold standard model can recapitulate many clinical signs of infection present in IAV-infected humans, support virus replication of human, avian, swine, and other zoonotic strains without prior adaptation, and permit evaluation of virus transmissibility by multiple modes. While ferrets have been employed in risk assessment settings for >20 years, results from this work are typically reported in discrete stand-alone publications, making aggregation of raw data from this work over time nearly impossible. Here, we describe a dataset of 728 ferrets inoculated with 126 unique IAV, conducted by a single research group under a uniform experimental protocol. This collection of morbidity, mortality, and viral titer data represents the largest publicly available dataset to date of in vivo-generated IAV infection outcomes on a per-ferret level.
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