• Title/Summary/Keyword: Coronavirus disease

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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.

Impact of COVID-19 spread on visit intervals and clinical parameters for patients with periodontitis in supportive periodontal therapy: a retrospective study

  • Mizuho Yamazaki-Takai;Yumi Saito;Shoichi Ito;Moe Ogihara-Takeda;Tsuyoshi Katsumata;Ryo Kobayashi;Shuta Nakagawa;Tomoko Nishino;Namiko Fukuoka;Kota Hosono;Mai Yamasaki;Yosuke Yamazaki;Yuto Tsuruya;Arisa Yamaguchi;Yorimasa Ogata
    • Journal of Periodontal and Implant Science
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    • v.54 no.2
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    • pp.75-84
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    • 2024
  • Purpose: This study investigated the relationship between the number of days that hospital visits were postponed and changes in clinical parameters due to the spread of coronavirus disease 2019 (COVID-19), after the Japanese government declared a state of emergency in April 2020. Methods: Regarding the status of postponement of appointments, we analyzed the patients who had visited the Nihon University Hospital at Matsudo for more than 1 year for supportive periodontal therapy (SPT) and classified them into low-, moderate- and high-risk subgroups according to the periodontal risk assessment (PRA). Clinical parameters for periodontal disease such as probing depth (PD), full-mouth bleeding score (FMBS), full-mouth plaque score, periodontal inflamed surface area (PISA), and periodontal epithelial surface area (PESA) were analyzed in 2 periods, from October 2019 to March 2020 and after April 2020. Correlation coefficients between days of deferral and the degree of changes in clinical parameters were calculated. Results: The mean age of the 749 patients was 67.56±10.85 years, and 63.82% were female. Out of 749 patients, 33.24% deferred their SPT appointments after April 2020. The average total of postponement days was 109.49±88.84. The number of postponement days was positively correlated with changes in average PD (rs=0.474) and PESA (rs=0.443) in the high-risk subgroup of FMBS, and average PD (rs=0.293) and PESA (rs=0.253) in the highrisk subgroup of tooth number (TN). Patients belonging to the high-risk subgroups for both FMBS and TN had a positive correlation between postponement days and PISA (rs=0.56). Conclusions: The findings, the spread of COVID-19 appears to have extended the visit interval for some SPT patients. Moreover, longer visit intervals were correlated with the worsening of some clinical parameters for SPT patients with high PRA.

Trends and Outcomes of Type 2 Myocardial Infarction During the COVID-19 Pandemic in the United States

  • Harshith Thyagaturu;Nicholas Roma;Aakash Angirekula;Sittinun Thangjui;Alex Bolton;Karthik Gonuguntla;Yasar Sattar;Muchi Ditah Chobufo;Abhiram Challa;Neel Patel;Gayatri Bondi;Sameer Raina
    • Korean Circulation Journal
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    • v.53 no.12
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    • pp.829-839
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    • 2023
  • Background and Objectives: There is limited data on the impact of type 2 myocardial infarction (T2MI) during the coronavirus disease 2019 (COVID-19) pandemic. Methods: The National Inpatient Sample (NIS) database from January 2019 to December 2020 was queried to identify T2MI hospitalizations based on the appropriate International Classification of Disease, Tenth Revision-Clinical Modification codes. Monthly trends of COVID-19 and T2MI hospitalizations were evaluated using Joinpoint regression analysis. In addition, the multivariate logistic and linear regression analysis was used to compare inhospital mortality, coronary angiography use, and resource utilization between 2019 and 2020. Results: A total of 743,535 patients hospitalized with a diagnosis of T2MI were identified in the years 2019 (n=331,180) and 2020 (n=412,355). There was an increasing trend in T2MI hospitalizations throughout the study period corresponding to the increase in COVID-19 hospitalizations in 2020. The adjusted odds of in-hospital mortality associated with T2MI hospitalizations were significantly higher in 2020 compared with 2019 (11.1% vs. 8.1%: adjusted odds ratio, 1.19 [1.13-1.26]; p<0.01). In addition, T2MI hospitalizations were associated with lower odds of coronary angiography and higher total hospitalization charges, with no difference in the length of stay in 2020 compared with 2019. Conclusions: We found a significant increase in T2MI hospitalizations with higher in-hospital mortality, total hospitalization costs, and lower coronary angiography use during the early COVID-19 pandemic corresponding to the trends in the rise of COVID-19 hospitalizations. Further research into the factors associated with increased mortality can increase our preparedness for future pandemics.

Korean Clinical Imaging Guidelines for Justification of Diagnostic Imaging Study for COVID-19 (한국형 COVID-19 흉부영상 진단 시행 가이드라인)

  • Kwang Nam Jin;Kyung-Hyun Do;Bo Da Nam;Sung Ho Hwang;Miyoung Choi;Hwan Seok Yong
    • Journal of the Korean Society of Radiology
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    • v.83 no.2
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    • pp.265-283
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    • 2022
  • To develop Korean coronavirus disease (COVID-19) chest imaging justification guidelines, eight key questions were selected and the following recommendations were made with the evidence-based clinical imaging guideline adaptation methodology. It is appropriate not to use chest imaging tests (chest radiograph or CT) for the diagnosis of COVID-19 in asymptomatic patients. If reverse transcription-polymerase chain reaction testing is not available or if results are delayed or are initially negative in the presence of symptoms suggestive of COVID-19, chest imaging tests may be considered. In addition to clinical evaluations and laboratory tests, chest imaging may be contemplated to determine hospital admission for asymptomatic or mildly symptomatic un-hospitalized patients with confirmed COVID-19. In hospitalized patients with confirmed COVID-19, chest imaging may be advised to determine or modify treatment alternatives. CT angiography may be considered if hemoptysis or pulmonary embolism is clinically suspected in a patient with confirmed COVID-19. For COVID-19 patients with improved symptoms, chest imaging is not recommended to make decisions regarding hospital discharge. For patients with functional impairment after recovery from COVID-19, chest imaging may be considered to distinguish a potentially treatable disease.

Physical activities due to the social distancing could change the serum lipid levels between the pre-and post-COVID-19 pandemic on Jeju Island

  • Oh-Sung Kwon;Young-Kyu Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.3
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    • pp.147-154
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    • 2024
  • The coronavirus disease-2019 (COVID-19) pandemic has changed physical activities due to social distancing to prevent the spread of infectious disease. The restriction could affect physical activities and serum lipid levels. The purpose of this study is to investigate changes of serum lipid levels and physical activities due to the social distancing between the pre-and-post COVID-19 pandemic on Jeju Island. A total of 5,373 subjects who underwent medical examination at a medical center located on Jeju Island. between May 2018 and December 2021 was enrolled. They were divided into two groups (the pre-COVID-19 vs. the post-COVID-19) based on their medical checkup dates and analyzed about clinical variables between them. Among the clinical variables, the mean age (P<0.014) and the mean levels of high-density lipoprotein-cholesterol (P=0.001), low-density lipoprotein-cholesterol (P=0.039) and total-cholesterol (P<0.001) and the proportions of subjects with abdominal obesity (P<0.001), aerobic exercise (P=0.003) and physical activity (P=0.008) were significantly higher in the post-COVID pandemic than those in the pre-COVID-19 pandemic. Even though the proportions of subjects with physical activity and aerobic exercise were statistically greater in the post-COVID-19 pandemic, those with central obesity and dyslipidemia were significantly higher in the period than before on Jeju Island.