文章基本信息

标题：Dengue Detection: Advances in Diagnostic Tools from Conventional Technology to Point of Care
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作者：Alamgir Kabir ; Hussein Zilouchian ; Muhammad Awais Younas 等
期刊名称：Biosensors
电子版ISSN：2079-6374
出版年度：2021
卷号：11
期号：7
页码：206
DOI：10.3390/bios11070206
出版社：MDPI Publishing
摘要：The dengue virus (DENV) is a vector-borne flavivirus that infects around 390 million individuals each year with 2.5 billion being in danger. Having access to testing is paramount in preventing future infections and receiving adequate treatment. Currently, there are numerous conventional methods for DENV testing, such as NS1 based antigen testing, IgM/IgG antibody testing, and Polymerase Chain Reaction (PCR). In addition, novel methods are emerging that can cut both cost and time. Such methods can be effective in rural and low-income areas throughout the world. In this paper, we discuss the structural evolution of the virus followed by a comprehensive review of current dengue detection strategies and methods that are being developed or commercialized. We also discuss the state of art biosensing technologies, evaluated their performance and outline strategies to address challenges posed by the disease. Further, we outline future guidelines for the improved usage of diagnostic tools during recurrence or future outbreaks of DENV.
关键词：dengue; diagnostics; point-of-care dengue ; diagnostics ; point-of-care