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一种用于鉴定来自不同宿主物种和环境的甲型流感病毒的算法。

An algorithm for the characterization of influenza A viruses from various host species and environments.

机构信息

Department of Medicine (Infectious Diseases), University of Texas Medical Branch, Galveston, Texas, USA.

Department of Infectious Disease, St. Jude Children's Research Hospital, Memphis, Tennessee, USA.

出版信息

Influenza Other Respir Viruses. 2024 Feb;18(2):e13258. doi: 10.1111/irv.13258.

Abstract

Due to the extensive host range of influenza A viruses, it is difficult to determine the best diagnostic algorithm to efficiently screen samples from a variety of host species for influenza A viruses. While there are some influenza diagnostic algorithms that are specific to host species, to our knowledge, no single algorithm exists for the characterization of influenza A viruses across multiple host species. In this paper, we propose an algorithm that can serve as a guide for screening human, animal, and environmental samples for influenza A viruses of high human and animal health importance.

摘要

由于甲型流感病毒宿主范围广泛,因此难以确定最佳诊断算法,以有效地从各种宿主物种的样本中筛选出甲型流感病毒。虽然有一些针对特定宿主物种的流感诊断算法,但据我们所知,目前尚无针对多种宿主物种的甲型流感病毒特征描述的单一算法。在本文中,我们提出了一种算法,可作为筛选对人类和动物健康具有重要意义的高致病性人、动物和环境样本中甲型流感病毒的指南。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bdd/10883340/76a7d39ed922/IRV-18-e13258-g001.jpg

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