Department of Clinical Biochemistry, Faculty of Medicine, Urmia University of Medical Sciences, Urmia, Iran.
Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Cell Biochem Funct. 2023 Jun;41(4):413-422. doi: 10.1002/cbf.3799. Epub 2023 May 3.
Since late December 2019, coronavirus disease 2019 (COVID-19) outbreak caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been rapidly spread across the globe. The early, safe, sensitive, and accurate diagnosis of viral infection is required to decrease and control contagious infection and improve public health surveillance. The diagnosis generally is made by detecting SARS-CoV-2-related agents, including a range of nucleic acid detection-based, immunoassay-based, radiographic-based, and biosensor-based methods. This review presents the progress of various detection tools for diagnosing COVID-19 and addresses the advantages and restrictions of each detection method. Given that diagnosis of a contagious various like SARS-COV-2 can improve patient survival rates and break the transmission chain, there is no surprise that significant efforts should be made to reduce the limitations of tests that lead to false-negative results and to develop a substantial test for COVID-19 diagnosis.
自 2019 年 12 月下旬以来，由严重急性呼吸系统综合征冠状病毒 2（SARS-CoV-2）引起的 2019 年冠状病毒病（COVID-19）疫情在全球迅速蔓延。为了减少和控制传染性感染并改善公共卫生监测，需要早期、安全、敏感和准确地诊断病毒感染。通常通过检测 SARS-CoV-2 相关的病原体来进行诊断，包括一系列基于核酸检测、免疫测定、影像学和基于生物传感器的方法。本文综述了用于诊断 COVID-19 的各种检测工具的进展，并讨论了每种检测方法的优缺点。鉴于对 SARS-COV-2 等传染病的诊断可以提高患者的生存率并阻断传播链，因此毫不奇怪，应该做出重大努力来减少导致假阴性结果的检测的局限性，并开发用于 COVID-19 诊断的大量检测方法。
