New and developing diagnostic platforms for COVID-19: A systematic review.
Expert Rev Mol Diagn
; 20(9): 971-983, 2020 09.
Artículo
en Inglés
| MEDLINE | ID: covidwho-748285
ABSTRACT
INTRODUCTION:
The starting months of 2020 witnessed a global pandemic of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection. The first case of Coronavirus Disease 2019 (COVID-19) was reported in December, 2019 in Wuhan, China and millions of cases and thousands of deaths were reported within five months. Currently, reverse transcription-polymerase chain reaction (RT-PCR) and computed tomography (CT) scanning are clinically prescribed for COVID-19 detection across the globe. AREAS COVERED This systematic review is focused on currently used diagnostic methods for COVID-19 detection and their future prospects. Online searches on Google Scholar, PubMed and online resources were conducted on the period of year 2017 to mid-2020. Studies investigating laboratory examinations, radiographical analysis, and potential sensors for COVID-19 detection were included. Along with this, the current status of commercially available kits for SARS-CoV-2 coronavirus detection is discussed. EXPERT OPINION The search has identified the potential applications of nucleic acid technology, diagnostics radiology examinations, and in-vitro diagnostic kits in detection of COVID-19 infections. Despite having their own limitations of each technology, the emerging diagnostic technologies for COVID-19 detection along with undergoing clinical trials are summarized suggesting more collaborations and funding are required for fast track clinical trials.Palabras clave
Texto completo:
Disponible
Colección:
Bases de datos internacionales
Base de datos:
MEDLINE
Asunto principal:
Neumonía Viral
/
Infecciones por Coronavirus
/
Técnicas de Laboratorio Clínico
/
Betacoronavirus
Tipo de estudio:
Estudios diagnósticos
/
Estudio pronóstico
/
Revisiones
/
Revisión sistemática/Meta análisis
Límite:
Humanos
Idioma:
Inglés
Revista:
Expert Rev Mol Diagn
Asunto de la revista:
Biologia Molecular
Año:
2020
Tipo del documento:
Artículo
País de afiliación:
14737159.2020.1816466
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