five

Data and code from: Viral outbreak dynamics and evolution in wildlife at the interface with humans

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NIAID Data Ecosystem2026-05-10 收录
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https://figshare.com/articles/dataset/Data_and_code_from_Viral_outbreak_dynamics_and_evolution_in_wildlife_at_the_interface_with_humans/30943757
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In this study, we used a multi-faceted approach to understand patterns of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and persistence in a wild white-tailed deer population. Serology data indicated transmission of SARS-CoV-2 and persistence during the seven-month sampling period. Traditional disease modeling based on deer-to-deer transmission indicated relatively low prevalence with an R 0 of 1.2 and recovery period of 5 days; however, individual-based modeling informed by GPS tracked-movement data captured a potential transmission event. Phylogenetic analyses revealed a recurring pattern of divergent groups of deer-derived sequences with human-derived sequences falling close to each deer-derived cluster.Further, human-derived sequences were frequently sampled months prior to the deer-derived sequences, indicating repeated human to deer spillover. Using multiple types of data as well as both fine and broad scale analyses, we have characterized a pattern of localized outbreaks of SARS-CoV-2 within white-tailed deer populations that are likely recurring due to frequent spillover events. Our results suggest that while deer-to-deer transmission occurs over small spatiotemporal scales, SARS-CoV-2 persistence over longer periods and across larger regions is likely driven by repeated spillover from human populations.
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