• Title/Summary/Keyword: Coronavirus disease

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Viral Load Dynamics After Symptomatic COVID-19 in Children With Underlying Malignancies During the Omicron Wave

  • Ye Ji Kim;Hyun Mi Kang;In Young Yoo;Jae Won Yoo;Seong Koo Kim;Jae Wook Lee;Dong Gun Lee;Nack-Gyun Chung;Yeon-Joon Park;Dae Chul Jeong;Bin Cho
    • Pediatric Infection and Vaccine
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    • v.30 no.2
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    • pp.73-83
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    • 2023
  • Purpose: This study aimed to investigate the viral load dynamics in children with underlying malignancies diagnosed with symptomatic coronavirus disease 2019 (COVID-19). Methods: This was a retrospective longitudinal cohort study of patients <19 years old with underlying hemato-oncologic malignancies that were diagnosed with their first symptomatic severe acute respiratory syndrome coronavirus 2 polymerase chain reaction (PCR)-confirmed COVID-19 infection during March 1 to August 30, 2022. Review of electronic medical records and telephone surveys were undertaken to assess the clinical presentations and transmission route of the patients. Thresholds of negligible likelihood of infectious virus was defined as E gene reverse transcription (RT)-PCR cycle threshold (Ct) value ≥25. Results: During the 6-month study period, a total of 43 children with 44 episodes of COVID-19 were included. Of the 44 episodes, the median age of the patients included was 8 years old (interquartile range [IQR], 4.9-10.5), and the most common underlying disease was acute lymphoid leukemia (n=30, 68.2%), followed by patients post-hematopoietic stem cell transplantation (n=8, 18.2%). Majority of the patients had mild COVID-19 (n=32, 72.7%), and three patients (7.0%) had severe/critical COVID-19. Furthermore, 2.3% (n=1) died of COVID-19 associated acute respiratory distress syndrome. The largest percentage of the patients showed E gene RT-PCR Ct value ≥25 between 15-21 days (n=13, 39.4%), followed by 22-28 days (n=10, 30.3%). In 15.2% (n=5), E gene RT-PCR Ct value remained <25 beyond 28 days after initial positive PCR. Refractory malignancy status (β, 67.0; 95% confidence interval, 7.0-17.0; P=0.030) was significantly associated with prolonged duration of E gene RT-PCR <25. A patient with prolonged duration of E gene RT-PCR Ct value <25 was suspected to have infectivity shown by the transmission of the virus to his mother at day 86 after his initial positive test. Conclusions: Children that acquire symptomatic COVID-19 during refractory malignancy state are at a high risk for prolonged shedding warranting PCR-based transmission precautions in this cohort of patients.

Analysis of health behavior, mental health, and nutritional status among Korean adolescents before and after COVID-19 outbreak: based on the 2019-2020 Korea National Health and Nutrition Examination Survey (COVID-19 전·후 한국 청소년의 건강행태, 정신건강 및 영양상태 분석: 국민건강영양조사 2019-2020년 자료를 활용하여)

  • Misun Lee ;Sarang Jeong ;Chong-Su Kim ;Yoon Jung Yang
    • Journal of Nutrition and Health
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    • v.56 no.6
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    • pp.667-682
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    • 2023
  • Purpose: This study aimed to investigate the changes in health behavior, mental health, and nutritional status of Korean adolescents before and after the coronavirus disease 2019 (COVID-19) pandemic outbreak. Methods: A total of 800 adolescents (12~18 years old) who participated in the 2019-2020 Korea National Health and Nutrition Examination Survey (KNHANES) were included as study subjects and divided into four groups (204 middle school boys, 172 middle school girls, 219 high school boys, and 205 high school girls). The 2019 and 2020 KNHANES data were classified into data collected before and after the COVID-19 outbreak, respectively. Results: After the COVID-19 pandemic outbreak, middle school boys showed an increased tendency toward becoming overweight and obese, with significantly increased levels of diastolic blood pressure and insulin. While there was no major change in the subjective health status among adolescents, the high school boys showed a significantly decreased physical activity after COVID-19 outbreak. Moreover, the proportion of middle school students feeling a little stressed significantly increased after the COVID-19 outbreak. The rate of skipping breakfast significantly increased in middle school girls, but the rate of having lunch with companions significantly increased among all adolescents after the COVID-19 outbreak. However, the intake of milk, vegetables, fruits, seaweeds, and pulses significantly decreased, although the intake of sugars, beverages, and seasonings significantly decreased as well, during this period. These changes may lead to an increased proportion of adolescents with insufficient intake of nutrients, including potassium, vitamin C, and riboflavin. Conclusion: These results highlight the impact of COVID-19 on comprehensive changes in physical and mental health status, lifestyle behavior, and nutritional status in adolescents, suggesting the need for targeted prevention and intervention for physical and mental well-being during the pandemic.

Survey on Korean-native Calves Diseases and Mortality (한우 송아지의 질병발생과 폐사율 조사)

  • 강문일;한동운;정용운;정도영;이채용;이정길;위성환;조재진
    • Korean Journal of Veterinary Service
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    • v.24 no.3
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    • pp.223-241
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    • 2001
  • From September 1996 to September 1999, 419 Korean-native calves with diseases under 6-month old collected from Kyonggi, Chungcheong, Chonlla and Kyongsang were examined by clinical, microbiological, parasitic, hematologic and histopathological mean. Among them, 124 cases were tested about the neutralization antibodies against infectious bovine rhinotracheitis virus(IBRV), Parainfluenza-3 virus(PI-3V), bovine uiral diarrhea virus(BVDV), bovine ephemeral fever virus(BEFV). In calf diseases in the survey, enteric diseases(72.8%) were most frequently involved and the following orders were taken by respiratory(17.4%) and reproductive (5.0%) disorders. In the causative pathogens associated with calf diseases and motality, 48.4% was induced by bacteria origin and also 35.6% by viral agents. Calf mortality was up to 76.3% in the cae of bacterial diseases and 55.7% in viral diseases. In bacterial diseases, frequent disorders were composed of colibacillosis(52.7%), salmonellosis(13.8%), pasteurellosis(12.8%) and campylobacteriosis(3.9%) and their mortalities showed 73.8% in colibacillosis, 73.0% in pasteurellosis, 67.9% in salmonellosis and 50.0% in campylobacteriosis (50.0%). Among the outbreaks of viral diseases, there were BVD(22.8%), bovine rotavirus infection(20.8%), bovine coronavirus infection(16.8%), bovine respiratory syncytial virus infection(15.4%), IBR(15.4%). Akabane disease(4.7%) and Chuzan diseases(3.4%). Interesting results through this studies were obtained the first isolate to Chuzan virus and Ainovirus in Korea which could be promised the development for diagnostic method and vaccines soon. Calf mortality to Akabane and Chuzan diseases was 100%. Main parasitic diseases were occupied by coccidiosis and babesiosis and their mortality of babesiosis was 20.0%. Other diseases were abomasal impaction(6.7%) and toxicosis(4.5%). The mortality of abomasal impaction was 89.3%. In some causes with malformations(1.9%) were confirmed as anasarca, derodidymus, polymelia, humerus hypoplasia, and tracheal collapse. Calf diseases had mostly been occurred in one month old grout (52.5%) and its prevalence was 25.1% in two to three month old group and 22.4% in four to six month old group. In calf mortality by age, there were 37.9% in one month old group, 18.1% in two and three month old group, and 13.8% in four to six month old group, respectively. The older the age of calf, the less the prevalence of calf enteric diseases. Respiratory diseases in calves to be tested frequently occurred in one to two month old group (41.4%). In one month old calves, the prevalence of enteric disease was 80.0%(p<0.05) and that of reproductive and respiratory disease was 9.5% and 8.2%, respectively. In two month old and four to six month old, enteric disease was 65.7% and 63.8% and respiratory disease was 28.6% and 26.6%. Seasonal prevalence and mortality of Korean-native calf diseases were not a significant difference. Prevalence of calf diseases in summer(31.5%) frequently occurred to compare that in winter(20.3%). Abortion and malformation in calves frequently occurred in spring. Hematological values in 84 calves with clinical signs showed mild to marked leukocytosis. Also, there was slight increase in hematocrit, platelet, mean corpuscular volume and mean plasma volume, but all of those were included the higher level to normal ranges. Calves with respiratory signs showed slightly erythrocytosis. One hundred seventy three calves without clinical signs were not significant different to ill cases in hematological values, but number of platelets was in higher normal range. In 125 calves, 84.8% was taken the antibody to IBRV, but 72% with the antibody had recorded the titer level lower than log$_2$5. The neutralizing antibody levels of higher than $log_{2}5$ to PI-3V and BVD virus were 60.8% and 67.2% cases, respectively. There were the cases of 57.6% had the neutralizing antibody level lower than log$_2$5 to BEFV.

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Study on disease prevalence to Holstein calves reared in Chonnam area (전남 지방의 홀스타인 송아지의 질병 발생율 조사)

  • Lee, Sang-Hoon;Kang, Ju-Won;Chung, Yong-Un;Lee, Chai-Yong;Han, Dong-Un;Wee, Sung-Hwan;Yoon, So-Rah;Cho, Jae-Jin;Kang, Mun-Il
    • Korean Journal of Veterinary Service
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    • v.31 no.4
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    • pp.521-532
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    • 2008
  • The prevalence of major calf disease was investigated in 117 Holstein dairy calves in Chonnam area. All of them were moved in the College experimental farm which is operated in intensive units. clinical signs were daily examined throughout two months after the introduction of the College farm. Among calves, 92 cases(78.6%) died in the two months after the introduction in it. Outbreaks of respiratory and alimentary diseases were their main causes of their fatality. The incidence of respiratory disorders during the full period of the experiment was up to 42.8%, and the alimentary diseases were occurred 35.9% of the herd. Most of the mortality was related with respiratory(59.9%) and alimentary(52.1%) pathogens. Also calf mortality by combined infection claimed 6.6% among 100 morbidity cases. Principle pathogens to cause mortality were Pasteurella spp(44.4%), E coli(29.9%), bovine viral diarrhea virus(16.2%), IBRV(12.0%), respectively. Viruses also played as an important role in increasing calf morbidity to secondary respiratory bacterial pathogens. Pasteurella infection combined with infectious bovine rhinotracheitis virus(11 cases), parainfluenza virus type-3(9 cases), or bovine respiratory syncytial virus(7 cases) was appeared as major pattern to mortality. colibacillosis in causing enteritis was concurrently infected with BVD(19 cases), bovine coronavirus infection(14 cases), salmonellosis(5 cases), coccidiosis(5 cases) and clostridial infection(4 cases). Ninty-two cases to death were appeared to have 100% neutralizing antibodies to BCV; Among them, 73.8% had the neutralizing antibody level higher than 64. Calves with neutralizing antibodies higher than 16 to BVDV were 50%. The cases with neutralizing antibody level lower than 8 to BEFV were 89.4% that means the necessity of appropriate vaccination.

Modeling for Nuclear Energy for IoT Systems as Green Fuels in Mitigating COVID-19 (COVID-19 완화를 위한 녹색 연료로서 IoT 시스템용 원자력 에너지 모델링)

  • Jang, Kyung Bae;Baek, Chang Hyun;Woo, Tae Ho
    • Journal of Internet of Things and Convergence
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    • v.7 no.2
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    • pp.13-19
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    • 2021
  • It is analyzed that the energy pattern is affected by the social matters of the disease trend where the energy consumption has been reduced following the depression of the national economy. The campaign of social distance for the people has been done by voluntary or legally due to the epidemic of the Coronavirus Disease 2019 (COVID-19). Some economic stimulus policies have been done in some countries including the United States, South Korea, and some others. It is shown the susceptible, infectious, and recovered (SIR) modeling applied by system dynamics (SD) where the logical modeling is constructed with S, I, and R. Especially, the I is connected with Society including Population, Race, and Maturity. In addition, Economy and Politics are connected to Income, GDP, Resources, President, Popularity, Ruling Government, and Leadership. The graph shows the big jump on 2020 April when is the starting month of the S value multiplication. This shows the effect of the COVID-19 and its related post-pandemic trend. The trends of OECD and non-OECD are very similar and the effect of the virus hazards causes significantly to the economic depressions.

Guidelines for dental clinic infection prevention during COVID-19 pandemic (코로나 바이러스 대유행에 따른 치과 의료 관리 가이드라인)

  • Kim, Jin
    • Journal of Korean Academy of Dental Administration
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    • v.8 no.1
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    • pp.1-7
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    • 2020
  • Dental settings have unique characteristics that warrant specific infection control considerations, including (1) prioritizing the most critical dental services and provide care in a way that minimizes harm to patients due to delayed care, or harm to personnel from potential exposure to persons infected with the COVID-19 disease, and (2) proactively communicate to both personnel and patients the need for them to stay at home if sick. For health care, an interim infection prevention and control recommendation (COVID-19) is recommended for patients suspected of having coronavirus or those whose status has been confirmed. SARS-CoV-2, which is the virus that causes COVID-19, is thought to be spread primarily between people who are in close contact with one another (within 6 feet) through respiratory droplets that are produced when an infected person coughs, sneezes, or talks. Airborne transmission from person-to-person over long distances is unlikely. However, COVID-19 is a new disease, and there remain uncertainties about its mode of spreads and the severity of illness it causes. The virus has been shown to persist in aerosols for several hours, and on some surfaces for days under laboratory conditions. COVID-19 may also be spread by people who are asymptomatic. The practice of dentistry involves the use of rotary dental and surgical instruments, such as handpieces or ultrasonic scalers, and air-water syringes. These instruments create a visible spray that can contain particle droplets of water, saliva, blood, microorganisms, and other debris. While KF 94 masks protect the mucous membranes of the mouth and nose from droplet spatter, they do not provide complete protection against the inhalation of airborne infectious agents. If the patient is afebrile (temperature <100.4°F)* and otherwise without symptoms consistent with COVID-19, then dental care may be provided using appropriate engineering and administrative controls, work practices, and infection control considerations. It is necessary to provide supplies for respiratory hygiene and cough etiquette, including alcohol-based hand rub (ABHR) with 60%~95% alcohol, tissues, and no-touch receptacles for disposal, at healthcare facility entrances, waiting rooms, and patient check-ins. There is also the need to install physical barriers (e.g., glass or plastic windows) in reception areas to limit close contact between triage personnel and potentially infectious patients. Ideally, dental treatment should be provided in individual rooms whenever possible, with a spacing of at least 6 feet between the patient chairs. Further, the use of easy-to-clean floor-to-ceiling barriers will enhance the effectiveness of portable HEPA air filtration systems. Before and after all patient contact, contact with potentially infectious material, and before putting on and after removing personal protective equipment, including gloves, hand hygiene after removal is particularly important to remove any pathogens that may have been transferred to the bare hands during the removal process. ABHR with 60~95% alcohol is to be used, or hands should be washed with soap and water for at least 20 s.

Analysis of the Current Status and Correlation of Traffic Demand according to the COVID-19 Indicator (코로나 19 지표에 따른 교통수요 현황 및 상관관계 분석)

  • Han, Kyeung-hee;Kim, Do-kyeong;Kang, Wook;So, Jaehyun (Jason);Lee, Choul-Ki
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.6
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    • pp.55-65
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    • 2021
  • In January 2020, the first COVID-19 confirmed patient occurred in Korea, and the pandemic continues to this day. In unprecedented situations, COVID-19 also affected the transportation sector, and there were no appropriate measures against changes in traffic volume and use of public transportation due to changes in citizens' lifestyles. Currently, each local government has not established separate measures for pandemic disease measures. In order to establish future disease countermeasures in the transportation sector, a predictive model was developed by analyzing the traffic volume and the number of public transportation uses, and conducting correlation analysis with the current status of COVID-19. As a result of the analysis, the traffic volume decreased, but the traffic volume decreased due to the increase in personal transportation, but it did not reach the number of public transportation uses. In addition, it was analyzed that the use of public transportation was initially affected by the number of confirmed cases, but over time, it was more sensitive to death and mortality than to the number of confirmed cases.

A Study on the Perception Change of Bats after COVID-19 by Social Media Data Analysis (소셜미디어 데이터 분석을 활용한 COVID-19 전후 박쥐의 인식변화 연구)

  • Lee, Jukyung;Kim, Byeori;Kim, Sun-Sook
    • Journal of Environmental Impact Assessment
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    • v.31 no.5
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    • pp.310-320
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    • 2022
  • This study aimed to identify the change in the public perception of "bats" after the outbreak of the coronavirus (COVID-19) infection. Text mining and network analysis were conducted for blog posts, the largest social network in Korea. We collected 9,241 Naver blog posts from 2019 to 2020 just before the outbreak of COVID-19 in Korea. The data were analyzed with Python and NetMiner 4.3.2, and the public's perception of bats was examined through the relationship of keywords by period. Findings indicated that the frequency of bat keywords in 2020 increased more than 25 times compared to 2019, and the centrality value increased more than three times. The perception of bats changed before and after the outbreak of the pandemic. Prior to COVID-19, bats were highly recognized as a species of wildlife while in the first half of 2020, they were strongly considered as a threat to human society in relation to infectious diseases and health. In the second half of 2020, it was confirmed that the area of interest in bats expanded as the proportion of ecological and cultural types ofresearch increased. This study seeks to contribute to the expansion and direction of future research in bats by understanding the public's interest in the potential impact of the species as disease hosts post the COVID-19 pandemic.

Hospital Avoidance and Associated Factors During the COVID-19 Pandemic (COVID-19 대유행 동안의 병원 회피 현상 및 연관 요인)

  • Jong-Wook Jeon;Se Joo Kim;Su-Young Lee;Jhin Goo Chang;Chan-Hyung Kim
    • Anxiety and mood
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    • v.19 no.2
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    • pp.77-82
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    • 2023
  • Objective : During the coronavirus disease 2019 (COVID-19) pandemic, hospital avoidance had a significant impact on public health. We investigated the factors associated with hospital avoidance and explored practical strategies hospitals could employ to address this phenomenon. Methods : We conducted a patient experience survey in a general hospital in Korea during the COVID-19 pandemic. Between July 6, 2020, and July 20, 2020, a total of 842 patients who had previously visited hospitals before the COVID-19 outbreak participated. Self-reported hospital avoidance, factors associated with hospital avoidance, and satisfaction with the hospital's infection control policies were the main outcomes. Binary logistic regression analysis was used to identify associated factors. Results : Data indicated that 29.9% (n=252) of the respondents avoided visiting the hospital after the COVID-19 outbreak. Satisfaction with the hospital infection control policy (odds ratio [OR]=2.297, p<0.001), female sex (OR=1.619, p<0.05), and higher educational level (OR=1.884, p<0.001) were associated with hospital avoidance. The "entrance body temperature check" was the most satisfactory policy among the hospital's infection control policies. Conclusion : To manage hospital avoidance during an infectious disease crisis, targeted policies for at-risk groups and hospital policies to reassure and satisfy patients are needed.

Machine Learning-Based Prediction of COVID-19 Severity and Progression to Critical Illness Using CT Imaging and Clinical Data

  • Subhanik Purkayastha;Yanhe Xiao;Zhicheng Jiao;Rujapa Thepumnoeysuk;Kasey Halsey;Jing Wu;Thi My Linh Tran;Ben Hsieh;Ji Whae Choi;Dongcui Wang;Martin Vallieres;Robin Wang;Scott Collins;Xue Feng;Michael Feldman;Paul J. Zhang;Michael Atalay;Ronnie Sebro;Li Yang;Yong Fan;Wei-hua Liao;Harrison X. Bai
    • Korean Journal of Radiology
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    • v.22 no.7
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    • pp.1213-1224
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    • 2021
  • Objective: To develop a machine learning (ML) pipeline based on radiomics to predict Coronavirus Disease 2019 (COVID-19) severity and the future deterioration to critical illness using CT and clinical variables. Materials and Methods: Clinical data were collected from 981 patients from a multi-institutional international cohort with real-time polymerase chain reaction-confirmed COVID-19. Radiomics features were extracted from chest CT of the patients. The data of the cohort were randomly divided into training, validation, and test sets using a 7:1:2 ratio. A ML pipeline consisting of a model to predict severity and time-to-event model to predict progression to critical illness were trained on radiomics features and clinical variables. The receiver operating characteristic area under the curve (ROC-AUC), concordance index (C-index), and time-dependent ROC-AUC were calculated to determine model performance, which was compared with consensus CT severity scores obtained by visual interpretation by radiologists. Results: Among 981 patients with confirmed COVID-19, 274 patients developed critical illness. Radiomics features and clinical variables resulted in the best performance for the prediction of disease severity with a highest test ROC-AUC of 0.76 compared with 0.70 (0.76 vs. 0.70, p = 0.023) for visual CT severity score and clinical variables. The progression prediction model achieved a test C-index of 0.868 when it was based on the combination of CT radiomics and clinical variables compared with 0.767 when based on CT radiomics features alone (p < 0.001), 0.847 when based on clinical variables alone (p = 0.110), and 0.860 when based on the combination of visual CT severity scores and clinical variables (p = 0.549). Furthermore, the model based on the combination of CT radiomics and clinical variables achieved time-dependent ROC-AUCs of 0.897, 0.933, and 0.927 for the prediction of progression risks at 3, 5 and 7 days, respectively. Conclusion: CT radiomics features combined with clinical variables were predictive of COVID-19 severity and progression to critical illness with fairly high accuracy.