COVID-19 Testing in South Korea: Current Status and the Need for Faster Diagnostics

Kim, Young Jin; Sung, Heungsup; Ki, Chang Seok; Hur, Mina

doi:10.3343/alm.2020.40.5.349

Cited by 43 publications

(42 citation statements)

References 2 publications

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“…The survey aims to contribute to map the characteristics related to the work process of these professionals in the midst of the COVID-19 pandemic, as well as the initiatives that are being carried out by managers in health establishments in Brazil. immunochromatography (PADOAN et al, 2020;LIPPI et al, 2020;KIM et al, 2020;DI MAURO et al, 2020;CARVALHO et al, 2020). is the author/funder, who has granted medRxiv a license to display the preprint in (which was not certified by peer review) preprint…”

Section: Resultsmentioning

confidence: 99%

Anti-SARS-CoV-2 IgM and IgG antibodies in health workers in Sergipe, Brazil

Melo

Borges

Souza

et al. 2020

Preprint

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Background: The exponential growth of COVID-19 cases in Brazil is overloading health systems with overcrowding of hospitals and overflowing intensive care units. Increasing infection rates in health professionals can lead to the collapse of the health system and further worsen the pandemic. The aim of this study was to evaluate the seroprevalence of IgM and IgG for SARS-CoV-2 in health workers in Sergipe, Brazil. Methods: The targeted tests involved health professionals working on the front line to combat COVID-19. The samples were collected in the month of June, in six hospital units in the state of Sergipe. Results: 471 health professionals were tested. Of these, 28 workers (5.95%) tested positive for IgM and 64 (13.59%) tested positive for IgG. 9 workers (1.91%) tested positive for IgM and were also positive for IgG. Discussion: Health workers must be monitored constantly, because if they are infected, they can spread the virus to colleagues, hospitalized patients and even family members. Conclusion: Knowing the prevalence of antibodies to the virus in health workers is an important measure of viral spread control. Keywords: SARS-CoV-2, COVID-19, Health workers, Immunofluorescence assays.

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Section: Resultsmentioning

confidence: 99%

Anti-SARS-CoV-2 IgM and IgG antibodies in health workers in Sergipe, Brazil

Melo

Borges

Souza

et al. 2020

Preprint

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“…Additionally, the presence of interfering substances, manual errors, sample contamination, and patients' receipt of antiretroviral therapies can further interfere with the accuracy of RT-PCT tests [9]. Furthermore, most RT-PCR tests have relatively long turnaround times, ranging from 4 to 6 hours from specimen preparation to RT-PCR; thus, further improvement is required such as shorten TAT for testing in the current COVID-19 outbreak [10].…”

Section: Concerns Regarding Rt-pcr Testingmentioning

confidence: 99%

Current laboratory diagnosis of coronavirus disease 2019

Lim

Lee

2020

Korean J Intern Med

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Coronavirus disease 2019 (COVID-19) emerged in December 2019 in Wuhan, China; it has since caused a pandemic, with more than 10,000 confirmed cases (> 800,000 tests) in Korea as of May 2020. Real-time reverse transcription polymerase chain reaction (RT-PCR) is currently the most commonly used method for the diagnosis of COVID-19 worldwide. The Korean Society for Laboratory Medicine and Korea Centers for Dis ease Prevention and Control regularly update the guidelines for COVID-19 diagnosis. Emergency use authorization for some laboratory diagnostic kits has been granted, enabling the timely diagnosis and treatment of COVID-19, and the isolation of infected patients. Due to the collective efforts of the government, medical professionals, local authorities, and the public, Korea's response to the COVID-19 outbreak has been accepted widely as a model. Here, we summarize the currently available laboratory tests for COVID-19 diagnosis. Although RT-PCR tests are used widely to confirm COVID-19, antibody tests could provide information about immune responses to the virus.

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“…15 infection is clinically suspected. 17,18 However, after the 31st confirmed case in the Daegu region, an unexpected cluster of infection occurred and the government raised…”

Section: Difference In Number Of Lt By Region Between the Mers And mentioning

confidence: 99%