ArticleNpj viruses2024
Optimal thresholds and key parameters for predicting influenza A virus transmission events in ferrets.
Article in Npj viruses, 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
- Quantifying the role of pre-existing tissue resident cellular immunity in limiting respiratory virus transmission.PLoS pathogens · 2026Article
- Pre-Exposure Intranasal Treatment with Neomycin Sulfate Reduces Transmission of Influenza B Virus.Antibiotics (Basel, Switzerland) · 2026Article
- Advancing A(H5N1) influenza risk assessment in ferrets through comparative evaluation of airborne virus shedding patterns.Nature communications · 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
- Identification of clinical and virological correlates associated with influenza A candidate vaccine virus (CVV) attenuation in a ferret model.Journal of virology · 2025Article
- Article
- Eleven quick tips to unlock the power of in vivo data science.PLoS computational biology · 2025Article
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4 authors.
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Abstract
Although assessments of influenza A virus transmissibility in the ferret model play a critical role in pandemic risk evaluations, few studies have investigated which virological data collected from virus-inoculated animals are most predictive of subsequent virus transmission to naïve contacts. We compiled viral titer data from >475 ferrets inoculated with 97 contemporary IAV (including high- and low-pathogenicity avian, swine-origin, and human viruses of multiple HA subtypes) that served as donors for assessments of virus transmission in the presence of direct contact (DCT) or via respiratory droplets (RDT). A diversity of molecular determinants, clinical parameters, and infectious titer measurements and derived quantities were examined to identify which metrics were most statistically supported with transmission outcome. Higher viral loads in nasal wash (NW) specimens were strongly associated with higher transmission frequencies in DCT, but not RDT models. However, viruses that reached peak titers in NW specimens early (day 1 p.i.) were strongly associated with higher transmission in both models. Interestingly, viruses with 'intermediate' transmission outcomes (33-66%) had NW titers and derived quantities more similar to non-transmissible viruses (<33%) in a DCT setting, but with efficiently transmissible viruses (>67%) in a RDT setting. Machine learning was employed to further assess the predictive role of summary measures and varied interpretation of intermediate transmission outcomes in both DCT and RDT models, with models employing these different thresholds yielding high performance metrics against both internal and external datasets. Collectively, these findings suggest that higher viral load in inoculated animals can be predictive of DCT outcomes, whereas the timing of when peak titers are detected in inoculated animals can inform RDT outcomes. Identification that intermediate transmission outcomes should be contextualized relative to the transmission mode assessed provides needed refinement towards improving interpretation of ferret transmission studies in the context of pandemic risk assessment.
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