An overview of influenza A virus detection methods: from state-of-the-art of laboratories to point-of-care strategies

注意事项 医疗保健 点(几何) 病毒学 病毒 国家(计算机科学) 计算机科学 检测点注意事项 医学 风险分析(工程) 政治学 免疫学 护理部 数学 几何学 法学 算法
作者
Bin Peng,Yaqi Wang,Yueliang Xie,Xiangyan Dong,Wen Liu,Dan Li,Hui Chen
出处
期刊:Analytical Methods [Royal Society of Chemistry]
卷期号:16 (27): 4496-4515 被引量:13
标识
DOI:10.1039/d4ay00508b
摘要

Influenza A virus (IAV), a common respiratory infectious pathogen, poses a significant risk to personal health and public health safety due to rapid mutation and wide host range. To better prevent and treat IAV, comprehensive measures are needed for early and rapid screening and detection of IAV. Although traditional laboratory-based techniques are accurate, they are often time-consuming and not always feasible in emergency or resource-limited areas. In contrast, emerging point-of-care strategies provide faster results but may compromise sensitivity and specificity. Here, this review critically evaluates various detection methods for IAV from established laboratory-based procedures to innovative rapid diagnosis. By analyzing the recent research progress, we aim to address significant gaps in understanding the effectiveness, practicality, and applicability of these methods in different scenarios, which could provide information for healthcare strategies, guide public health response measures, and ultimately strengthen patient care in the face of the ongoing threat of IAV. Through a detailed comparison of diagnostic models, this review can provide a reliable reference for rapid, accurate and efficient detection of IAV, and to contribute to the diagnosis, treatment, prevention, and control of IAV.
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