• Title/Summary/Keyword: Covid19

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Impact of the COVID-19 Pandemic on Tooth Brushing and Handwashing of Adolescents: A Secondary Analayis of the Korea Youth Risk Behavior Web-Based Survey (2019~2020)

  • Ahn, Eunsuk;Hwang, Ji-Min
    • Journal of dental hygiene science
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    • v.22 no.3
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    • pp.171-179
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    • 2022
  • Background: In this study, we investigated the changes and factors that affect daily health behaviors due to COVID-19 among adolescents. We intend to provide basic data so that a systematic and comprehensive health education program that includes physical and oral health can be made. Methods: This study was a secondary data analysis of the from the 2019 and 2020 Korea Youth Risk Behavior Web-based Survey. A final sample of 112,251 participants was anlayzed using chi-square test, and ordinal logistic regression. Results: In the case of tooth brushing, the frequency of 'never' increased in most general characteristics compared to before COVID-19. In the case of handwashing, it was found that handwashing behavior increased (increased) after COVID-19 compared to before COVID-19. As a result of confirming the factors affecting tooth brushing behavior before and after COVID-19, it was found that girls brushed teeth 2.2 times more regularly after lunch than boys. As a result of adjusting all other factors, regular tooth brushing behavior after COVID-19 was reduced by 0.79 times compared to before COVID-19. Conclusion: It is judged that it is necessary to operate a comprehensive health management program in the school so that the most basic tooth brushing for oral health and handwashing for health can become a habit. In addition, by confirming the impact of the COVID-19 pandemic on handwashing and tooth brushing behavior through this study, it is expected to be used in the development of policy data such as raising awareness of brushing and improving behaviors applicable in the current and upcoming new pandemic situations.

Increase in blood glucose level and incidence of diabetic ketoacidosis in children with type 1 diabetes mellitus in the Daegu-Gyeongbuk area during the coronavirus disease 2019 (COVID-19) pandemic: a retrospective cross-sectional study

  • Lee, Mi Seon;Lee, Rosie;Ko, Cheol Woo;Moon, Jung Eun
    • Journal of Yeungnam Medical Science
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    • v.39 no.1
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    • pp.46-52
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    • 2022
  • Background: The coronavirus disease 2019 (COVID-19) outbreak in the Daegu-Gyeongbuk area in 2020 has caused difficulties in the daily life and hospital care of children with type 1 diabetes mellitus (T1DM). We detected an increase in blood sugar levels in these children and the number of patients hospitalized with more severe diabetic ketoacidosis (DKA) compared to those before COVID-19. Methods: This single-center study was conducted at Kyungpook National University Children's Hospital. The following patient groups were included; 45 returning patients diagnosed with T1DM and undergoing insulin treatment for more than 2 years and 20 patients newly diagnosed with T1DM before and after COVID-19 were selected by age matching. Returning patients before and after the outbreak were selected, and changes in hemoglobin A1c (HbA1c) levels were retrospectively reviewed. The HbA1c levels and severity of symptoms in newly diagnosed patients during hospitalization were examined. Results: HbA1c levels in returning patients with T1DM were significantly increased after COVID-19 (before, 7.70%±1.38% vs. after, 8.30%±2.05%; p=0.012). There were 10 and 10 newly diagnosed patients before and after COVID-19, respectively. The proportion of patients with drowsiness and dyspnea at the time of admission was higher after COVID-19 than before (before, 2 of 10 vs. after, 4 of 10). The HbA1c levels were higher in newly diagnosed patients hospitalized after COVID-19 than before (before, 11.15% vs. after, 13.60%; p=0.036). Conclusion: Due to COVID-19 in the Daegu-Gyeongbuk area, there was an increase in blood glucose levels in children with T1DM and in the incidence of severe DKA in newly diagnosed diabetes mellitus patients.

A Study on the Changes in the Priority of Shopping Value of Social Commerce Beauty Products Using AHP Analysis (AHP분석을 활용한 소셜커머스 뷰티제품 이용자들의 쇼핑가치 우선순위변화 분석)

  • Cho, Nam Jae;Lee, Jong Hwan
    • Journal of Information Technology Applications and Management
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    • v.29 no.3
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    • pp.1-23
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    • 2022
  • This study is about the change in the importance of shopping value for beauty products of social commerce due to the social crisis or risk caused by COVID-19. It was analyzed focusing on whether the importance of shopping value changed before and after COVID-19. We checked the importance of shopping value after COVID-19 through the AHP results of previous papers before COVID-19, and analyzed the importance by adding variables of risk reduction behavior and delivery convenience according to the situation of COVID-19. The AHP method was used to check the change in the importance of shopping value before and after COVID-19, and the study was conducted using 48 data. The results were as follows. As for the importance of shopping value of social commerce beauty products, it was ranked in the order of time convenience, convenience of delivery, third-ranked trust business operators, fourth-ranked economic aspects, fifth-ranked decision support, sixth-ranked risk reduction behavior, and seventh-ranked business reputation. Compared to previous studies, decision-making support, which was in the second place, fell to the fifth place. This result was confirmed to be a drop in ranking due to the improvement of delivery convenience due to the influence of COVID-19. In addition, in the case of beauty products, it was confirmed that risk reduction behavior related to COVID-19 infection is not a key factor in shopping value. These results confirmed changes in the importance of shopping value compared to pre-COVID-19 studies, and in the case of product groups other than beauty products, further studies are expected as there is a possibility of other results.

A Scoping Review on the Expected Role of Community Pharmacists in the Era of COVID-19 Pandemic Crisis Across OECD Countries (OECD 회원국에서 COVID-19 팬더믹 위기시대 지역약사의 확장된 역할에 대한 주제범위 문헌고찰)

  • Iyn-Hyang Lee;Nam Kyung Je
    • Korean Journal of Clinical Pharmacy
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    • v.32 no.4
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    • pp.288-302
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    • 2022
  • Objective: Community pharmacists are frontline health care providers, but have been considered as underutilized professionals on a daily basis. The purpose of this scoping review was to identify information about the impact of the COVID-19 pandemic on community pharmacy services and to evaluate new services that could be applicable. Methods: We searched MEDLINE and EMBASE for studies published up to January 10, 2020. Search terms consisted of keywords relevant to this review, including "COVID-19", "community pharmacy", and "community pharmacist". This review targeted studies of pharmacist services provided by community pharmacies in OECD member countries during the COVID-19 pandemic period. Results: Twenty-seven studies were included in this review. Changes in community pharmacist services due to the COVID-19 pandemic were broadly classified into four categories. First, as the face-to-face services became challenging, various non-face-to-face services were being tried. Second, community pharmacists directly participated in the services to prevent the spread of COVID-19. Third, community pharmacists made efforts to support continuity of care for patients who experienced difficulties due to the reduced professional care as health and medical resources are concentrated in response to COVID-19. Fourth, community pharmacist services were emerging, targeting patients suffering from greater health inequality during the pandemic. Patients expressed high demand and satisfaction for the service of the community pharmacist, and pharmacists reported self-efficacy and professional pride. Conclusion: This study demonstrated that in the era of the COVID-19 pandemic, various community pharmacist services have been tried and received positive evaluations from patients in several OECD countries.

Changes in the Hospital Standardized Mortality Ratio Before and During the COVID-19 Pandemic: A Disaggregated Analysis by Region and Hospital Type in Korea

  • EunKyo Kang;Won Mo Jang;Min Sun Shin;Hyejin Lee;Jin Yong Lee
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.2
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    • pp.180-189
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    • 2023
  • Objectives: The coronavirus disease 2019 (COVID-19) pandemic has led to a global shortage of medical resources; therefore, we investigated whether COVID-19 impacted the quality of non-COVID-19 hospital care in Korea by comparing hospital standardized mortality rates (HSMRs) before and during the pandemic. Methods: This retrospective cohort study analyzed Korean National Health Insurance discharge claim data obtained from January to June in 2017, 2018, 2019, and 2020. Patients' in-hospital deaths were classified according to the most responsible diagnosis categories. The HSMR is calculated as the ratio of expected deaths to actual deaths. The time trend in the overall HSMR was analyzed by region and hospital type. Results: The final analysis included 2 252 824 patients. In 2020, the HSMR increased nationwide (HSMR, 99.3; 95% confidence interval [CI], 97.7 to 101.0) in comparison to 2019 (HSMR, 97.3; 95% CI, 95.8 to 98.8). In the COVID-19 pandemic zone, the HSMR increased significantly in 2020 (HSMR, 112.7; 95% CI, 107.0 to 118.7) compared to 2019 (HSMR, 101.7; 95% CI, 96.9 to 106.6). The HSMR in all general hospitals increased significantly in 2020 (HSMR, 106.4; 95% CI, 104.3 to 108.5) compared to 2019 (HSMR, 100.3; 95% CI, 98.4 to 102.2). Hospitals participating in the COVID-19 response had a lower HSMR (HSMR, 95.6; 95% CI, 93.9 to 97.4) than hospitals not participating in the COVID-19 response (HSMR, 124.3; 95% CI, 119.3 to 129.4). Conclusions: This study suggests that the COVID-19 pandemic may have negatively impacted the quality of care in hospitals, especially general hospitals with relatively few beds. In light of the COVID-19 pandemic, it is necessary to prevent excessive workloads in hospitals and to properly employ and coordinate the workforce.

Topic Modeling to Identify Cloud Security Trends using news Data Before and After the COVID-19 Pandemic (뉴스 데이터 토픽 모델링을 활용한 COVID-19 대유행 전후의 클라우드 보안 동향 파악)

  • Soun U Lee;Jaewoo Lee
    • Convergence Security Journal
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    • v.22 no.2
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    • pp.67-75
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    • 2022
  • Due to the COVID-19 pandemic, many companies have introduced remote work. However, the introduction of remote work has increased attacks on companies to access sensitive information, and many companies have begun to use cloud services to respond to security threats. This study used LDA topic modeling techniques by collecting news data with the keyword 'cloud security' to analyze changes in domestic cloud security trends before and after the COVID-19 pandemic. Before the COVID-19 pandemic, interest in domestic cloud security was low, so representation or association could not be found in the extracted topics. However, it was analyzed that the introduction of cloud is necessary for high computing performance for AI, IoT, and blockchain, which are IT technologies that are currently being studied. On the other hand, looking at topics extracted after the COVID-19 pandemic, it was confirmed that interest in the cloud increased in Korea, and accordingly, interest in cloud security improved. Therefore, security measures should be established to prepare for the ever-increasing usage of cloud services.

Implementation of a Deep Learning-Based Computer-Aided Detection System for the Interpretation of Chest Radiographs in Patients Suspected for COVID-19

  • Eui Jin Hwang;Hyungjin Kim;Soon Ho Yoon;Jin Mo Goo;Chang Min Park
    • Korean Journal of Radiology
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    • v.21 no.10
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    • pp.1150-1160
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    • 2020
  • Objective: To describe the experience of implementing a deep learning-based computer-aided detection (CAD) system for the interpretation of chest X-ray radiographs (CXR) of suspected coronavirus disease (COVID-19) patients and investigate the diagnostic performance of CXR interpretation with CAD assistance. Materials and Methods: In this single-center retrospective study, initial CXR of patients with suspected or confirmed COVID-19 were investigated. A commercialized deep learning-based CAD system that can identify various abnormalities on CXR was implemented for the interpretation of CXR in daily practice. The diagnostic performance of radiologists with CAD assistance were evaluated based on two different reference standards: 1) real-time reverse transcriptase-polymerase chain reaction (rRT-PCR) results for COVID-19 and 2) pulmonary abnormality suggesting pneumonia on chest CT. The turnaround times (TATs) of radiology reports for CXR and rRT-PCR results were also evaluated. Results: Among 332 patients (male:female, 173:159; mean age, 57 years) with available rRT-PCR results, 16 patients (4.8%) were diagnosed with COVID-19. Using CXR, radiologists with CAD assistance identified rRT-PCR positive COVID-19 patients with sensitivity and specificity of 68.8% and 66.7%, respectively. Among 119 patients (male:female, 75:44; mean age, 69 years) with available chest CTs, radiologists assisted by CAD reported pneumonia on CXR with a sensitivity of 81.5% and a specificity of 72.3%. The TATs of CXR reports were significantly shorter than those of rRT-PCR results (median 51 vs. 507 minutes; p < 0.001). Conclusion: Radiologists with CAD assistance could identify patients with rRT-PCR-positive COVID-19 or pneumonia on CXR with a reasonably acceptable performance. In patients suspected with COVID-19, CXR had much faster TATs than rRT-PCRs.

Clinical characteristics of COVID-19 (코로나바이러스감염증-19의 임상적 특징)

  • Yoo, Jung Rae;Heo, Sang Taek
    • Journal of Medicine and Life Science
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    • v.17 no.2
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    • pp.33-40
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    • 2020
  • Coronavirus disease 2019 (COVID-19) is a respiratory tract infection caused by a newly emergent coronavirus, that was first recognized in Wuhan, China, in December 2019. Genetic sequencing of the virus suggests that it is a beta coronavirus closely linked to the SARS virus. This disease has non-specific symptoms such as fever, dry cough, sore throat, and gastrointestinal symptoms. This virus can transmit via aerosol and need to droplet precaution to prevent spreading in public areas. Most people with COVID-19 develop only mild or uncomplicated illness. However, about 20% patients require hospitalization, oxygen supply, and intensive care. There is no currently effective treatment available for COVID-19 unresponsive to supportive care. This is review about the recently published epidemiologic, and clinical features, diagnosis, treatment and prevention of COVID-19.

Analysis and Prospect of Export Trend of Air Cargo Market before and after COVID-19

  • Kim, Young-Rok;Lim, Jae-Hwan;Choi, Yun-Chul
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.28 no.4
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    • pp.164-170
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    • 2020
  • Recently, the aviation industry faced a major crisis due to the impact of COVID-19. However, despite the sluggish passenger transportation, the cargo transportation sector is relatively maintained or increasing depending on the item. In this study, we will look at the trends before and after COVID-19, focusing on the cargo export field, which is a concern of the aviation industry. First, it analyzes the entire air cargo and then analyzes the trends of each item and country in detail. In particular, it examines the process of changes in air transport costs, which increased significantly immediately after COVID-19, and conducts future trends and prospects in the cargo export field. As a result of the study, some characteristics of air cargo exports before and after COVID-19 were found in an analysis by item and country, and transportation costs varied according to route distance.

Constructing Japanese MeSH term dictionaries related to the COVID-19 literature

  • Yamaguchi, Atsuko;Takatsuki, Terue;Tateisi, Yuka;Soares, Felipe
    • Genomics & Informatics
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    • v.19 no.3
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    • pp.25.1-25.5
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    • 2021
  • The coronavirus disease 2019 (COVID-19) pandemic has led to a flood of research papers and the information has been updated with considerable frequency. For society to derive benefits from this research, it is necessary to promote sharing up-to-date knowledge from these papers. However, because most research papers are written in English, it is difficult for people who are not familiar with English medical terms to obtain knowledge from them. To facilitate sharing knowledge from COVID-19 papers written in English for Japanese speakers, we tried to construct a dictionary with an open license by assigning Japanese terms to MeSH unique identifiers (UIDs) annotated to words in the texts of COVID-19 papers. Using this dictionary, 98.99% of all occurrences of MeSH terms in COVID-19 papers were covered. We also created a curated version of the dictionary and uploaded it to Pub-Dictionary for wider use in the PubAnnotation system.