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1.
Front Bioeng Biotechnol ; 10: 1090281, 2022.
Article in English | MEDLINE | ID: covidwho-2230861

ABSTRACT

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is still in an epidemic situation, which poses a serious threat to the safety of people and property. Rapid diagnosis and isolation of infected individuals are one of the important methods to control virus transmission. Existing lateral flow immunoassay techniques have the advantages of rapid, sensitive, and easy operation, and some new options have emerged with the continuous development of nanotechnology. Such as lateral flow immunoassay test strips based on colorimetric-fluorescent dual-mode and gold nanoparticles, Surface Enhanced Raman Scattering, etc., these technologies have played an important role in the rapid diagnosis of COVID-19. In this paper, we summarize the current research progress of lateral flow immunoassay in the field of Severe Acute Respiratory Syndrome Coronavirus 2 infection diagnosis, analyze the performance of Severe Acute Respiratory Syndrome Coronavirus 2 lateral flow immunoassay products, review the advantages and limitations of different detection methods and markers, and then explore the competitive CRISPR-based nucleic acid chromatography detection method. This method combines the advantages of gene editing and lateral flow immunoassay and can achieve rapid and highly sensitive lateral flow immunoassay detection of target nucleic acids, which is expected to be the most representative method for community and clinical point-of-care testing. We hope that researchers will be inspired by this review and strive to solve the problems in the design of highly sensitive targets, the selection of detection methods, and the enhancement of CRISPR technology, to truly achieve rapid, sensitive, convenient, and specific detection of novel coronaviruses, thus promoting the development of novel coronavirus diagnosis and contributing our modest contribution to the world's fight against epidemics.

2.
Int J Infect Dis ; 101: 323-325, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-808177

ABSTRACT

OBJECTIVE: The COVID-19 outbreak in Wuhan, Hubei, China, followed the seasonal influenza epidemic. Since some COVID-19 cases may have been misdiagnosed as seasonal influenza in January 2020, before testing capacity was adequate, it is relevant to study the proportions of influenza and COVID-19 cases among influenza-like-illness (ILI) patients and their temporal pattern. RESULTS: This study analyzed the record of the ILI patients with a recent travel history to Wuhan who arrived in Hong Kong between 31 December 2019 and 21 January 2020. We found that the proportion of COVID-19 cases among the total ILI patients is much smaller than a study among ILI in Wuhan. This difference in proportion could be due to the difference in sampling. We argue that it is essential to consider both samples when inferring the number of COVID-19 cases from ILI patients.


Subject(s)
COVID-19/epidemiology , Influenza, Human/epidemiology , Travel/statistics & numerical data , Adult , COVID-19/diagnosis , COVID-19/virology , China/epidemiology , Disease Outbreaks , Hong Kong/epidemiology , Humans , Influenza, Human/diagnosis , Influenza, Human/virology , Male , Orthomyxoviridae/genetics , Orthomyxoviridae/isolation & purification , Orthomyxoviridae/physiology , Pandemics , Patients , SARS-CoV-2/genetics , SARS-CoV-2/isolation & purification , SARS-CoV-2/physiology
3.
BMC Res Notes ; 13(1): 336, 2020 Jul 13.
Article in English | MEDLINE | ID: covidwho-640717

ABSTRACT

OBJECTIVE: To explore and compare the age, source and future risk of COVID-19 infection in Hong Kong SAR China and Singapore as of March 5, 2020. RESULTS: We find significant difference in age patterns of confirmed cases in these 2 localities early in the pandemic. CONCLUSION: We highlight the potential importance of population age structure in confirmed cases, which should be considered in evaluation of the effectiveness of control effort in different localities.


Subject(s)
Betacoronavirus/pathogenicity , Coronavirus Infections/epidemiology , Coronavirus Infections/transmission , Pandemics , Pneumonia, Viral/epidemiology , Pneumonia, Viral/transmission , Age Distribution , Age Factors , Betacoronavirus/physiology , COVID-19 , China/epidemiology , Coronavirus Infections/diagnosis , Hong Kong/epidemiology , Humans , Pneumonia, Viral/diagnosis , Risk Factors , SARS-CoV-2 , Severity of Illness Index , Singapore/epidemiology , Travel/statistics & numerical data
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