Abstract
Screening of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) among symptomatic and asymptomatic patients offers unique opportunities for curtailing the transmission of novel coronavirus disease 2019, commonly known as COVID-19. Molecular diagnostic techniques, namely reverse transcription loop-mediated isothermal amplification (RT-LAMP), reverse transcription-polymerase chain reaction (RT-PCR), and immunoassays, have been frequently used to identify COVID-19 infection. Although these techniques are robust and accurate, mass testing of potentially infected individuals has shown difficulty due to the resources, manpower, and costs it entails. Moreover, as these techniques are typically used to test symptomatic patients, healthcare systems have failed to screen asymptomatic patients, whereas the spread of COVID-19 by these asymptomatic individuals has turned into a crucial problem. Besides, respiratory infections or cardiovascular conditions generally demonstrate changes in physiological parameters, namely body temperature, blood pressure, and breathing rate, which signifies the onset of diseases. Such vitals monitoring systems have shown promising results employing artificial intelligence (AI). Therefore, the potential use of wearable devices for monitoring asymptomatic COVID-19 individuals has recently been explored. This work summarizes the efforts that have been made in the domains from laboratory-based testing to asymptomatic patient monitoring via wearable systems.
【저자키워드】 COVID-19, machine learning, Screening, Asymptomatic, Wearable systems, 【초록키워드】 SARS-CoV-2, coronavirus, Diseases, diagnostic, Transmission, novel coronavirus disease, RT-PCR, immunoassays, RT-LAMP, respiratory infection, Symptomatic patients, COVID-19 infection, Patient, reverse transcription, isothermal amplification, parameters, asymptomatic patients, body temperature, asymptomatic patient, blood pressure, physiological, Healthcare system, Asymptomatic COVID-19, acute respiratory syndrome, infected individual, individual, domain, effort, offer, resources, asymptomatic individual, monitoring system, spread of COVID-19, robust, shown, identify, changes in, unique, cardiovascular condition, symptomatic and asymptomatic, Vital, 【제목키워드】 Laboratory,