• Title/Summary/Keyword: Co Covid-19

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Telehealth for consultation and shoulder rehabilitation: a preliminary study on the perspectives of 30 patients during the COVID-19 lockdown

  • Sahu, Dipit;Rathod, Vaibhavi;Phadnis, Ashish;Bansal, Samarjit S.
    • Clinics in Shoulder and Elbow
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    • v.24 no.3
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    • pp.156-165
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    • 2021
  • Background: This study aimed to determine: the perspectives of the patient cohort that underwent telehealth consultation and shoulder rehabilitation during coronavirus disease 2019 (COVID-19) and the differences in the patients' perspectives with the two different telehealth video applications (apps) used in the study. Methods: This is a prospective study carried out during the COVID lockdown period of April to July 2020. Thirty consecutive patients from the orthopedics department of a tertiary institute in India underwent their first-ever session of a video app-based (Zoom or WhatsApp) telehealth consultation with shoulder rehabilitation exercises on a handheld mobile, tablet, or laptop device. After the virtual consultation, the patients were sent a validated telehealth usability questionnaire (TUQ) to evaluate their perspectives. Scores obtained from the TUQ were the primary outcome measure. Results: The study was completed by 30 patients (16 men and 14 women) with an average age of 56 years (range, 20-77 years). The patients who contacted us during the lockdown period with either a stiff shoulder or a conservatively treated shoulder fracture were included in the study. The average TUQ score was 13.6 (median, 14.5; range, 6-21) out of a maximum of 21 points. Eighty percent of the patients were satisfied and found the telehealth service useful. Use of the Zoom app scored significantly higher (median, 17; average, 15.6) than the WhatsApp app (median, 8.5; average, 9.6) (p=0.004). Conclusions: Patients who received telehealth consultation and shoulder rehabilitation were overall satisfied. Telehealth apps with advanced video calling features such as Zoom should be preferred for higher patient satisfaction.

Potential of Hanjeli (Coix lacryma-jobi) essential oil in preventing SARS-CoV-2 infection via blocking the Angiotensin Converting Enzyme 2 (ACE2) receptor

  • Diningrat, Diky Setya;Sari, Ayu Nirmala;Harahap, Novita Sari;Kusdianti, Kusdianti
    • Journal of Plant Biotechnology
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    • v.48 no.4
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    • pp.289-303
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    • 2021
  • Covid-19 is an ongoing pandemic as we speak in 2022. This infectious disease is caused by the SARS-CoV-2 virus, which infects cells by binding to the angiotensin-converting enzyme 2 (ACE2) receptor on the cell surface. Thus, strategies that inhibit the binding of SARS-CoV-2 to the ACE2 receptor can stop this contagion. Hanjeli (Coix lacryma-jobi) essential oil contains many bioactive compounds, including dodecanoic acid; tetradecanoic acid; 7-Amino-8-imino-2-(2-imino-2H-chromen-3-yl); and 1,5,7,10-tetraaza-phen-9-one. These compounds suppress viral replication and may prevent Covid-19. Accordingly, this study assessed whether, these four limonoid compounds can block the ACE2 receptor. To this end, their physicochemical properties were predicted using Lipinski's "rule of five" on the SwissADME website, and their toxicity was assessed using the online tools ProTox and pkCSM. Additionally, their interactions with the ACE2 receptor were predicted via molecular docking using Autodock Vina. All the four compounds satisfied the "rule of five" and tetradecanoic acid was predicted to have a higher affinity than the comparison compound remdesivir and the original ligand of ACE2. Molecular docking results suggested that the compounds from hanjeli essential oil interact with the active site of the ACE2 receptor similarly as the original ligand and remdesivir. In conclusion, hanjeli essential oil contains compounds predicted hinder the interaction of SARS-CoV-2 with the ACE2 receptor. Accordingly, our data may facilitate the development of a phytomedical strategy against SARS-CoV-2 infection.

SARS-CoV-2 detection and infection scale prediction model in sewer system (하수도 체계에서의 SARS-CoV-2 검출 및 감염 확산 예측)

  • Kim, Min Kyoung;Cho, Yoon Geun;Shin, Jung gon;Jang, Ho Jin;Ryu, Jae Won
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.392-392
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    • 2022
  • 세계적 규모의 팬데믹 감염병의 출현은 전 세계적으로 경제적, 문화적, 사회적 파급효과가 매우 강력하며 전 인류를 위협하고 있다. 최근에 발병한 중증급성 호흡기질환 코로나바이러스 2(Severe Acute Respiratory Syndrome Coronavirus 2, SARS-CoV-2)는 2019년 12월 중국 우한에서 첫 보고 되었고 2022년 현재까지 종식되지 않고 있으며 바이러스의 전파력과 치명률이 높고 무증상 감염상태일 때에도 전염이 가능하여 현재 역학조사의 사후적 대응에 대한 한계가 있어 선제적 대응을 위한 수단이 필수 불가결해지고 있는 실정이다. 하수기반역학(Waste Based Epidemiology, WBE)이란 하수처리장으로 유입되기 전의 하수를 분석하여 하수 집수구역 내 도시민의 생활상을 예측하는 것으로 하수로 배출된 감염자의 분비물 및 배설물 속 바이러스를 하수관로에서 신속하게 검출함으로써 특정지역의 감염성 질환 전파 정도와 유행하는 타입(변이)등을 분석하고 기존 역학조사의 문제점을 극복할 수 있으며 선제적인 대응이 가능하다. 현재 COVID-19의 대유행과 관련하여 WBE를 기반으로 한 다양한 연구가 진행되고 있으며 실제 환자의 발생과 상관관계가 있음이 확인되고 있고 백신 접종과 새롭게 발생한 변이바이러스의 관계 속에서 발생하는 변수를 고려한 모델이 없다는 점을 들어 새로운 감염병 확산 예측 모델에 대한 필요성 또한 커지고 있다. 본 연구에서는 병원에서부터 하수처리장까지의 하수관거와 하수처리장에서의 SARS-CoV-2 검출농도 및 거동을 파악하는 것을 목적으로 하고 있으며 COVID-19의 감염규모 확산에 관한 방법론에서 수학적모델 (Euler Method, RK4 Method, Gillespie Algorithm)과 딥러닝 기반의 Nowcasting model과 Fore casting model을 살펴보고자 한다.

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Corona19 Quarantine Bus Shelter with CO2 and Body Temperature Sensor (CO2 센서와 체온 센서를 이용한 코로나19 방역 버스 쉘터)

  • Park, Byeong-Yoon;Lee, Hyeon-Min;Tran, Van-Son;Nguyen, Minh-Tuan;Lee, Boong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.5
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    • pp.981-990
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    • 2021
  • Corona 19 quarantine is often not implemented at degraded bus stops. We conducted this study to improve these problems. The inside and outside of the shelter can be sterilized with UV photocatalyst coating to maintain a hygienic and clean shelter, and passengers can breathe smoothly by reducing carbon dioxide in the shelter using CO2 sensors and fans. It is also expected that the body temperature can be measured using a body temperature sensor to prevent more than 20% of the spread of the coronavirus in the shelter by isolating suspected coronavirus patients in the first place. When the temperature measurement distance was less than 10cm, the accuracy of the temperature measurement was 98.9%. You can communicate your intention to ride safely and clearly without contacting the bus driver by using a ride bell that uses wireless communication inside the shelter.

Control Methods for Aerosols and Airborne Spreading Theory of SARS-CoV-2 (사스-코로나바이러스-2 공기 중 부유 전파이론과 에어로졸 제어기술)

  • Lee, Byung Uk
    • Journal of Environmental Health Sciences
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    • v.47 no.2
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    • pp.123-130
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    • 2021
  • Objectives: Control methods against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) aerosols have been introduced. Airborne spreading theories for SARS-CoV-2 were analyzed in this study. Methods: Control methods for airborne microorganisms were discussed. Studies on theoretical estimations for airborne spreading of SARS-CoV-2 were presented and analyzed. Analytic calculations were conducted for explaining control techniques for airborne microorganisms. Results: Control methods for SARS-CoV-2 aerosols can include physical or biological procedures. Characterization of SARS-CoV-2 aerosols and massive clustering infection cases of COVID-19 support the airborne spreading theories of SARS-CoV-2. It is necessary to consider the disadvantages of control methods for airborne microorganisms. Conclusions: A study on control methods against bioaerosols is necessary to prevent the spreading of viruses. Airborne spreading theories of SARS-CoV-2 were supported by the current evidence, but further studies are needed to confirm these theories.

Development of Drug Candidates based on Natural Products Against COVID-19 (천연식물자원 활용 코로나19 억제 치료제 개발)

  • Se Chan Kang
    • Proceedings of the Plant Resources Society of Korea Conference
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    • 2021.04a
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    • pp.3-3
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    • 2021
  • The ongoing global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has not only influenced over 1.26 billion people but also caused 2.77 million deaths worldwide (as of March 28, 2021). The vaccination could be the most efficient strategy to prevent SARS-CoV-2 infection. However, the continuous emergence of novel variants such as VUI-202012/01 (United Kingdom) and 501.V2 (South Africa) raises huge concerns about the effectiveness of the vaccine designed to target the original virus strain. Since ancient times regardless of the East and West, the plants which refered in this presentation have been consumed not only as food but also as a natural medicine to treat diverse diseases including infectious diseases. Importantly, these plants contain secondary metabolites that display antiviral activity involved in the inhibition of viral adsorption, penetration, and replication. Also, plant-derived natural medicines are expected to have a wider range of efficacy and fewer side effects than synthetic medicine, discovering novel plant-based viral agents would be a promising strategy to fight against SARS-CoV-2.

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A COVID-19 Diagnosis Model based on Various Transformations of Cough Sounds (기침 소리의 다양한 변환을 통한 코로나19 진단 모델)

  • Minkyung Kim;Gunwoo Kim;Keunho Choi
    • Journal of Intelligence and Information Systems
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    • v.29 no.3
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    • pp.57-78
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    • 2023
  • COVID-19, which started in Wuhan, China in November 2019, spread beyond China in 2020 and spread worldwide in March 2020. It is important to prevent a highly contagious virus like COVID-19 in advance and to actively treat it when confirmed, but it is more important to identify the confirmed fact quickly and prevent its spread since it is a virus that spreads quickly. However, PCR test to check for infection is costly and time consuming, and self-kit test is also easy to access, but the cost of the kit is not easy to receive every time. Therefore, if it is possible to determine whether or not a person is positive for COVID-19 based on the sound of a cough so that anyone can use it easily, anyone can easily check whether or not they are confirmed at anytime, anywhere, and it can have great economic advantages. In this study, an experiment was conducted on a method to identify whether or not COVID-19 was confirmed based on a cough sound. Cough sound features were extracted through MFCC, Mel-Spectrogram, and spectral contrast. For the quality of cough sound, noisy data was deleted through SNR, and only the cough sound was extracted from the voice file through chunk. Since the objective is COVID-19 positive and negative classification, learning was performed through XGBoost, LightGBM, and FCNN algorithms, which are often used for classification, and the results were compared. Additionally, we conducted a comparative experiment on the performance of the model using multidimensional vectors obtained by converting cough sounds into both images and vectors. The experimental results showed that the LightGBM model utilizing features obtained by converting basic information about health status and cough sounds into multidimensional vectors through MFCC, Mel-Spectogram, Spectral contrast, and Spectrogram achieved the highest accuracy of 0.74.

Coronaviruses: SARS, MERS and COVID-19 (코로나바이러스: 사스, 메르스 그리고 코비드-19)

  • Kim, Eun-Joong;Lee, Dongsup
    • Korean Journal of Clinical Laboratory Science
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    • v.52 no.4
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    • pp.297-309
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    • 2020
  • Coronaviruses were originally discovered as enzootic infections that limited to their natural animal hosts, but some strains have since crossed the animal-human species barrier and progressed to establish zoonotic diseases. Accordingly, cross-species barrier jumps resulted in the appearance of SARS-CoV, MERS-CoV, and SARS-CoV-2 that manifest as virulent human viruses. Coronaviruses contain four main structural proteins: spike, membrane, envelope, and nucleocapsid protein. The replication cycle is as follows: cell entry, genome translation, replication, assembly, and release. They were not considered highly pathogenic to humans until the outbreaks of SARS-CoV in 2002 in Guangdong province, China. The consequent outbreak of SARS in 2002 led to an epidemic with 8,422 cases, and a reported worldwide mortality rate of 11%. MERS-CoVs is highly related to camel CoVs. In 2019, a cluster of patients infected with 2019-nCoV was identified in an outbreak in Wuhan, China, and soon spread worldwide. 2019-nCoV is transmitted through the respiratory tract and then induced pneumonia. Molecular diagnosis based on upper respiratory region swabs is used for confirmation of this virus. This review examines the structure and genomic makeup of the viruses as well as the life cycle, diagnosis, and potential therapy.

Comparative Study of Target Genes and Protocols by Country for Detection of SARS-CoV-2 based on Polymerase Chain Reaction (PCR) (중합효소 연쇄반응 기반의 코로나-19 바이러스 검출법에 대한 국가별 목표 유전자 및 프로토콜 비교 연구)

  • Kim, Jin-Hee
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.465-474
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    • 2021
  • Corona-19, a disease caused by 'Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2)', was declared a global pandemic by the World Health Organization (WHO) in March 2020, and a real-time polymerase chain reaction test is performed as a diagnostic test for screening and confirmation in most countries. However, not only the target genes and protocols differ by countries, but also the procedures for reading the diagnosis results are diverse, so the criteria for confirmed patients differ by country. Therefore, in this review, we discussed the target genes, test techniques, and diagnostic criteria for each country notified by WHO. And the specificity and sensitivity, limits of detection, positive and negative controls, false positive bacteria candidates, and specimens, and the specifics of the control setting were also described. In addition, the characteristics of Korea's test were compared to each country's one. Finally, in order to obtain the same diagnosis result for SARS-CoV-2 in the future, standardized diagnosis methods and result interpretations for Corona-19 diagnosis were proposed.

Factors related to COVID-19 Incidence and Mortality rate in Gyeongsangbuk-do, Korea (경상북도 지역의 코로나19 발생률 및 사망률 관련요인)

  • Kim, Dong-Hwi;Park, Sung-Jun;Kang, Hyun-Jun;Yeom, Eun-Jung;Yoo, Na-Eun;Lee, Jeong-Min;Nam, Eun-Ha;Park, Ji-Hyuk;Lee, Kwan
    • Journal of agricultural medicine and community health
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    • v.45 no.4
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    • pp.235-244
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    • 2020
  • Objectives: Gyeongsangbuk-do has entered a super-aged society with 20.7% of the population aged 65 and older. As of April 30, 2020, the death rate of COVID-19(3.8 people) in Gyeongsangbuk-do is higher than the national mortality rate (2.3 people), and the fatality rate of COVID-19 by age accounts for more than half of the total of 58.6%, so it is time to propose to prevent infectious diseases in the event of additional infectious disease disasters COVID-19. Methods: We collected daily data on the number of confirmed cases and deaths due to COVID-19 from 19 February to 30 April 2020. The data collected was evaluated using the SPSS 21.0 statistical package. Results: As a result of comparing the incidence and death-related factors of confirmed patients in Gyeongsangbuk-do, there were significant differences in age group (p<0.001), underlying disease (p<0.001), and residence type (p<0.033). Conclusion: Factors affecting the mortality rate of confirmed patients in Gyeongsangbuk-do have been combined with individual level factors(age, gender, underlying disease), which means individual characteristics that have existed since before the disease, and regional level factors(Type of Residence), which are external factors that enable the use of medical resources. Therefore, each local government is required to establish preventive measures considering individual and regional level factors.