About: Evolving Gene Targets and Technology in Influenza Detection

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Evolving Gene Targets and Technology in Influenza Detection
Creator	Lin, Baochuan Malanoski, Anthony
Source	Medline; PMC
abstract	Influenza viruses cause recurring epidemic outbreaks every year associated with high morbidity and mortality. Despite extensive research and surveillance efforts to control influenza outbreaks, the primary mitigation treatment for influenza is the development of yearly vaccine mixes targeted for the most prevalent virus strains. Consequently, the focus of many detection technologies has evolved toward accurate identification of subtype and understanding the evolution and molecular determinants of novel and pathogenic forms of influenza. The recent availability of potential antiviral treatments are only effective if rapid and accurate diagnostic tests for influenza epidemic management are available; thus, early detection of influenza infection is still important for prevention, containment, patient management, and infection control. This review discusses the current and emerging technologies for detection and strain identification of influenza virus and their specific gene targets, as well as their implications in patient management.
has issue date	2013-05-18(xsd:dateTime)
bibo:doi	10.1007/s40291-013-0040-9
bibo:pmid	23686537
has license	no-cc
sha1sum (hex)	44959e4505dcc59575f4989de8abf3fcc7e48415
schema:url	https://doi.org/10.1007/s40291-013-0040-9
resource representing a document's title	Evolving Gene Targets and Technology in Influenza Detection
has PubMed Central identifier	PMC7100497
has PubMed identifier	23686537
schema:publication	Mol Diagn Ther
resource representing a document's body	covid:44959e4505dcc59575f4989de8abf3fcc7e48415#body_text
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