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

Laura A. Pulscher; Richard J. Webby; Gregory C. Gray

doi:10.1111/irv.13258

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

Laura A. Pulscher, Richard J. Webby, Gregory C. Gray

Internal Medicine

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

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.

Original language	English (US)
Article number	e13258
Journal	Influenza and other respiratory viruses
Volume	18
Issue number	2
DOIs	https://doi.org/10.1111/irv.13258
State	Published - Feb 2024

Keywords

influenza a virus
laboratory diagnosis
molecular diagnostic testing
Orthomyxoviridae

ASJC Scopus subject areas

Epidemiology
Pulmonary and Respiratory Medicine
Public Health, Environmental and Occupational Health
Infectious Diseases

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10.1111/irv.13258

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title = "An algorithm for the characterization of influenza A viruses from various host species and environments",

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.",

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AB - 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.

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KW - molecular diagnostic testing

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

Abstract

Keywords

ASJC Scopus subject areas

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