Skip to main content
Log in

Evolution of the newest diagnostic methods for COVID-19: a Chinese perspective

中国视角下的新冠肺炎最新诊断方法演进

  • Review
  • Published:
Journal of Zhejiang University-SCIENCE B Aims and scope Submit manuscript

Abstract

Coronavirus disease 2019 (COVID-19) has continued to spread globally since late 2019, representing a formidable challenge to the world’s healthcare systems, wreaking havoc, and spreading rapidly through human contact. With fever, fatigue, and a persistent dry cough being the hallmark symptoms, this disease threatened to destabilize the delicate balance of our global community. Rapid and accurate diagnosis of COVID-19 is a prerequisite for understanding the number of confirmed cases in the world or a region, and an important factor in epidemic assessment and the development of control measures. It also plays a crucial role in ensuring that patients receive the appropriate medical treatment, leading to optimal patient care. Reverse transcription-polymerase chain reaction (RT-PCR) technology is currently the most mature method for detecting viral nucleic acids, but it has many drawbacks. Meanwhile, a variety of COVID-19 detection methods, including molecular biological diagnostic, immunodiagnostic, imaging, and artificial intelligence methods have been developed and applied in clinical practice to meet diverse scenarios and needs. These methods can help clinicians diagnose and treat COVID-19 patients. This review describes the variety of such methods used in China, providing an important reference in the field of the clinical diagnosis of COVID-19.

摘要

自2019年底以来, 新型冠状病毒感染(COVID-19)继续在全球蔓延, 对世界卫生保健系统构成严峻挑战, 造成严重破坏, 并通过人类接触迅速传播. 这种疾病的主要症状是发烧、 疲劳和持续的干咳, 它威胁到我们全球社会健康系统的平衡. 快速准确诊断新冠肺炎是掌握全球或地区确诊病例数量的前提, 也是疫情评估和制定控制措施的重要因素. 同时, 这也确保患者获得合理治疗, 为患者获得最佳的护理方案发挥着至关重要的作用. 逆转录聚合酶链反应(RT-PCR)技术是目前检测病毒核酸最成熟的方法, 但它存在很多缺点. 与此同时, 分子生物学诊断、 免疫诊断、 影像学、 人工智能等多种新型冠状病毒检测方法已经开发并应用于临床, 适应不同场景和需求. 这些方法可以帮助临床医生诊断和治疗COVID-19患者. 本文总结了目前国内常用于新冠肺炎诊断的多种最新检测方法, 为新冠肺炎临床诊断提供了重要参考.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

Download references

Acknowledgments

This work was supported by the Emergency Key Project of Guangzhou Laboratory (No. EKPG21-30-2), China.

Author information

Authors and Affiliations

Authors

Contributions

Writing: Mingtao LIU, Jiali LYU, Xianhui ZHENG, and Zhiman LIANG. Research and paragraph contributions: Baoying LEI, Huihuang CHEN, and Yiyin MAI. Figure: Zhiman LIANG. Conceptualization and supervision: Huimin HUANG and Baoqing SUN. All authors have read and approved the final manuscript, and therefore, have full access to all the data in the study and take responsibility for the integrity and security of the data.

Corresponding authors

Correspondence to Huimin Huang  (黄惠敏) or Baoqing Sun  (孙宝清).

Ethics declarations

Mingtao LIU, Jiali LYU, Xianhui ZHENG, Zhiman LIANG, Baoying LEI, Huihuang CHEN, Yiyin MAI, Huimin HUANG, and Baoqing SUN declare that they have no conflict of interest.

This article does not contain any studies with human or animal subjects performed by any of the authors.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Liu, M., Lyu, J., Zheng, X. et al. Evolution of the newest diagnostic methods for COVID-19: a Chinese perspective. J. Zhejiang Univ. Sci. B 24, 463–484 (2023). https://doi.org/10.1631/jzus.B2200625

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1631/jzus.B2200625

Key words

关键词

Navigation