Evolution of the newest diagnostic methods for COVID-19: a Chinese perspective / 浙江大学学报(英文版)(B辑:生物医学和生物技术)
Journal of Zhejiang University. Science. B
; (12): 463-484, 2023.
Artigo
em Inglês
| WPRIM (Pacífico Ocidental)
| ID: wpr-982388
Biblioteca responsável:
WPRO
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.
Texto completo:
Disponível
Contexto em Saúde:
ODS3 - Meta 3.3 Acabar com as doenças tropicais negligenciadas e combater as doenças transmissíveis
Problema de saúde:
Pneumonía
Base de dados:
WPRIM (Pacífico Ocidental)
Assunto principal:
Inteligência Artificial
/
China
/
Teste para COVID-19
/
COVID-19
Limite:
Humanos
País/Região como assunto:
Ásia
Idioma:
Inglês
Revista:
Journal of Zhejiang University. Science. B
Ano de publicação:
2023
Tipo de documento:
Artigo