• Title/Summary/Keyword: Quarantine Policy

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Utilizing Spatial and Temporal Information in KAHIS for Aiding Animal Disease Control Activities (가축질병 방역활동 지원을 위한 국가동물방역통합시스템 시공간 정보 활용)

  • PARK, Son-Il;PARK, Hong-Sik;JEONG, Woo-Seog;LEE, Gyoung-Ju
    • Journal of the Korean Association of Geographic Information Studies
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    • v.19 no.4
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    • pp.186-198
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    • 2016
  • HPAI(Highly Pathogenic Avian Influenza) is a contagious animal disease that spreads rapidly by diffusion after the first occurrence. The disease has brought tremendous social costs and economic losses. KAHIS (Korea Animal Health Information System) is the integrated system for supporting the task of preventing epidemics. They provide decision-support information, recording vehicle visiting times and facility location, etc., which is possible by enforcing registration of all livestock related facilities and vehicles. KAHIS has accumulated spatial and temporal information that enables effective tracing of potential disease trajectories and diffusion through vehicle movements. The contact network is created utilizing spatial and temporal information in KAHIS to inform facility connection via vehicle visitation. Based on the contact network, it is possible to infer spatial and temporal mechanism of disease spread and diffusion. The study objective is to empirically demonstrate how to utilize primary spatial and temporal information in KAHIS in the form of the contact network. Based on the contact network, facilities with the possibility of infection can be pinpointed within the potential spatial and temporal extent where the disease has spread and diffused. This aids the decision-making process in the task of preventing epidemics. By interpreting our demonstration results, policy implications were presented. Finally, some suggestions were made to comprehensively utilize the contact network to draw enhanced decision-support information.

Comparative serological analysis of outer membrane proteins extracted from Brucella abortus Korean isolates and 1119-3 strains (Brucella abortus 국내 분리주의 세포외막 단백질 분석 및 혈청학적 비교)

  • Cha, Seung-Bin;Kang, Mi-Lan;Lee, Won-Jung;Shin, Min-Kyoung;Cho, Dong-Hee;Jung, Suk-Chan;Yoo, Han-Sang
    • Korean Journal of Veterinary Research
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    • v.48 no.4
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    • pp.431-440
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    • 2008
  • Brucellosis is one of the most important zoonosis in worldwide. As one of the control measures, attempts have been made to develop new diagnostic methods using filed isolates as a national policy in many countries. Currently, bovine brucellosis in Korea have been received attention in both public health and economical aspects due to sudden increase of outbreak. Based on the situation, we compared standard strain (B. abortus 1119-3) with field isolates to reveal the differences among them. Biological and biochemical charateristics, antibiotic resistance profiles, outer membrane proteins (OMPs) and lipopolysaccharide analysis of the strains were included in this study. For the diagnostic purpose, an attempt was made to find out a novel antigen from the Korean isolates by serological analysis. There were differences about 55 kDa, 36-38 kDa and 20 kDa in analysis of OMPs by SDS-PAGE and Western blot with positive sera ($\geq$ 1:400 in SAT titer). Also, a serological diagnostic method, ELISA was conducted using OMPs of the strains as novel antigen. Relationships between O.D. and SAT titer were analyzed using field sera showing different SAT titer. High correlation coefficient was observed between SAT titer and ELISA. Results from this study suggested that a new diagnsotic method should be developed using their own field isolates in each country.

A Study on the Characteristics of Bad Breath in Office Workers According to Mask Selection (마스크 선택에 따른 직장인의 구취 관련 특성 연구)

  • Seo, Jeong-Cheol;Ko, Kyel;Bae, Sang-Deok;Moon, Sang-Ho;Kwon, Byong-An
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.439-446
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    • 2021
  • This study was to investigate whether there are differences in subjective bad breath-related characteristics and psychological characteristics of sports masks printed with natural minerals compared with quarantine masks and cotton masks. The study subjects were divided into 30 people in the Sports Mask Group, 30 people in the KF Mask Group (KMG), and 30 people in the cotton mask group (CMG), and a total of 90 subjects participated in the study. It was randomly sent to use 1 mask per day and 3 masks for 3 days. The study period was conducted from October 15, 2020 to October 30, 2020. As a result of the study, there was no difference in the use of masks between the three groups in terms of bad breath health and dry mouth. However, the sports mask was superior to other masks in oral respiration and bad breath angle. As a result of analyzing psychological factors, there was no difference between the 3 groups for depression. However, in the stress factor, sports masks were superior to other masks in stress. The results of this study are valuable as suggesting the direction of use of functional masks, and we hope that they will be used as basic data for functional mask research to be studied in the future.

Analysis of Changes in Restaurant Attributes According to the Spread of Infectious Diseases: Application of Text Mining Techniques (감염병 확산에 따른 레스토랑 선택속성 변화 분석: 텍스트마이닝 기법 적용)

  • Joonil Yoo;Eunji Lee;Chulmo Koo
    • Information Systems Review
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    • v.25 no.4
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    • pp.89-112
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    • 2023
  • In March 2020, as it was declared a COVID-19 pandemic, various quarantine measures were taken. Accordingly, many changes have occurred in the tourism and hospitality industries. In particular, quarantine guidelines, such as the introduction of non-face-to-face services and social distancing, were implemented in the restaurant industry. For decades, research on restaurant attributes has emphasized the importance of three attributes: atmosphere, service quality, and food quality. Nevertheless, to the best of our knowledge, research on restaurant attributes considering the COVID-19 situation is insufficient. To respond to this call, this study attempted an exploratory approach to classify new restaurant attributes based on understanding environmental changes. This study considered 31,115 online reviews registered in Naverplace as an analysis unit, with 475 general restaurants located in Euljiro, Seoul. Further, we attempted to classify restaurant attributes by clustering words within online reviews through TF-IDF and LDA topic modeling techniques. As a result of the analysis, the factors of "prevention of infectious diseases" were derived as new attributes of restaurants in the context of COVID-19 situations, along with the atmosphere, service quality, and food quality. This study is of academic significance by expanding the literature of existing restaurant attributes in that it categorized the three attributes presented by existing restaurant attributes and further presented new attributes. Moreover, the analysis results have led to the formulation of practical recommendations, considering both the operational aspects of restaurants and policy implications.

Evaluation on Microbiological Contamination Level of Raw Beef from Retail Markets in Seoul, Korea (서울지역 식육판매점의 우육에 대한 미생물학적 오염도 평가)

  • Ko, Eun-Kyung;Heo, Eun Jeong;Kim, Young Jo;Park, Hyun Jung;Wi, Seong-Hwan;Moon, Jin San
    • Food Science of Animal Resources
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    • v.33 no.3
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    • pp.403-410
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    • 2013
  • This study was performed to evaluate the microbiological contamination level of raw beef from retail markets in Seoul, Korea. The sampling and laboratory test were performed according to the procedure of "Standard for processing and ingredients specification of livestock product" and "Korean food code". Enterotoxin of Staphylococcus aureus isolates were detected using VIDAS$^{(R)}$ and PCR-based methods. Listeria monocytogenes serotyping and genotyping were carried out using Listeria antisera and L. monocytogenes Fingerprinting kit, respectively. A total of 48 samples were collected from 16 retail markets (butcher's shop: 5, department store: 6, supermarket: 5) in 2011. The level of total bacteria counts in the butcher's shop, department store and supermarket were $4.4{\times}10^3$ CFU/g, $3.9{\times}10^5$ CFU/g and $1.0{\times}10^4$ CFU/g, respectively. The concentrations of Escherichia coli of these three retail markets were $6.4{\times}10$ CFU/g, 7.6 CFU/g and $2.0{\times}10$ CFU/g, respectively. Salmonella species was not detected on all samples. However, S. aureus was isolated in the 3 samples (6.25%) from each type of three retail markets. L. monocytogenes was isolated in the 4 samples (8.3%) from department stores. The level of contamination of these foodborne bacteria was less than 100 CFU/g. The enterotoxin-encoding genes of S. aureus isolates were sea, seh, sei and sep gene. The gene similarity of L. monocytogenes isolated from two retail markets by Rep-PCR showed 57.8-98.1% and 68.1-98.1%, respectively. These results suggest that the HACCP guideline for environmental control in slaughterhouse and retail markets should be provided to prevent cross contamination and manage foodborne pathogens such as L. monocytogenes and S. aureus.

Influence of Job Stress and Resilience on the Burnout of Nurses Who Works at the Designated Public Relief Hospital (국민안심병원에서 근무하는 간호사들의 직무스트레스와 회복탄력성이 소진에 미치는 영향)

  • Shin, Rok;Baek, Hye-Jin;Ahn, Da-Bin
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.595-608
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    • 2021
  • The purpose of this study is to examine the effects of job stress and resilience on burnout of nurses who take care of patients with COVID-19 in prolonged pandemics. Structured questionnaires were distributed and analyzed for 162 nurses. Inadequate compensation of job stress, job demands, workplace culture, philosophical patterns of resilience, and relational patterns were statistically significant. As a result of determining the effect of job stress and resilience on burnout through the Stepwise multiple regression analysis, the final significant variable was job stress. The burnout of nurses can affect the quality of nursing services, reduced hospital competitiveness, and even quarantine systems. Therefore, this study suggests that proper compensation policy support, such as treatment of nurses and improvement of working conditions, is needed.

Analysis of the Impact of COVID-19 on Port Operation (컨테이너 항만운영에 대한 코로나19의 영향 분석 연구)

  • Kim, Sung-Ki;Kim, Chan-Ho
    • Journal of Navigation and Port Research
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    • v.45 no.3
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    • pp.155-164
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    • 2021
  • The major factors that threaten port operation are diversie. Coronavirus disease-19, (COVID-19), which has recently disrupted operations worldwide, is one of them. Port operation was completely stopped due to a confirmed coronavirus involving a Russian sailor in Gamcheon Port, Busan, Korea in 2020, resulting port closure due to the infectious disease outbreak. The port is a national infrastructure facility that controls most of Korea's import and export logistics, and it is absolutely necessary to secure resilience against threats such as infectious diseases. However, due to insufficient data, this study was undertaken to determine a cause-effect relationship of infectious diseases during the container port operation using system dynamics. In addition, the port's resilience against infectious diseases was measured in terms of productivity and cargo volume through simulation. The model built via simulation analysis can actually be used to measure the resilience of a port. In the event of an infectious disease outbreak at a port, a quarantine policy scenario can be implemented and the effect compared, thereby improving the resilience.

Healthcare Robots in the New Normal era; Outlook for the Post-Corona era (뉴노멀 시대의 의료 로봇; Post-Corona 시대를 위한 전망)

  • Moon, Jeong Eun;Cho, Yong Jin
    • Journal of Digital Convergence
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    • v.19 no.2
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    • pp.509-514
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    • 2021
  • The pandemic of COVID-19 is driving the demand for non-face-to-face diagnosis, observation, and treatment in the healthcare environment, which has led to increased interest in helathcare robots. The authors intend to predict the direction in which the quarantine healthcare robots should be utilized in the post-corona era through analysis of national agency reports, on-offline press reports, and domestic and foreign robot company press releases. The COVID-19 pandemic has raised interest in medical robots. And there is a need to apply healthcare robots that can perform tasks such as disinfection, logistics transfer, screening tests, monitoring of patients, remote medical treatment support for isolated patients, and video calls with family members. Therefore, it is considered that future correct development and application of healthcare robots and empirical research to verify them should be continued based on sufficient consideration for various problems associated with the practical application of robots.

Perceived Knowledge, Anxiety and Compliance with Preventive Behavior Performance on COVID-19 by Nursing College Students (간호대학생이 지각한 COVID-19의 지식, 불안이 예방행위 수행정도에 미치는 영향)

  • Hwang, Soon-Jung;Lee, Myung In
    • Journal of Digital Convergence
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    • v.18 no.12
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    • pp.459-468
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    • 2020
  • This study was examined to identify effects of compliance with preventive behavior on COVID-19 of nursing college students. From April 24 to May 6, 2020, 195 nursing students in grades 1-4 responded to an online self-report questionnaire. Collected data were analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation coefficients, and multiple regression using SPSS/WIN 23.0 program. The result showed that compliance with preventive behavior was positively correlated with knowledge and anxiety. The multiple regression revealed knowledge(β=.418, p<.001), anxiety(β=.280, p<.001), and experience of self quarantine(β=-.107, p<.05) to be significant compliance with preventive behavior. These variables accounted for 40.4% of compliance with preventive behavior. Conclusion Accurate and positive knowledge formation of COVID-19 of nursing students is necessary and the development and application of educational programs that can practice the performance of preventive actions in everyday life is necessary.

A Study on deduction of important factors for new infectious diseases through big data analysis (빅데이터 분석을 통한 신종감염병 중요 요인 도출)

  • Suh, Kyung-Do
    • Journal of Industrial Convergence
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    • v.19 no.3
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    • pp.35-40
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    • 2021
  • This study attempted to derive important factors of emerging infectious diseases by collecting and analyzing text data onto emerging infectious diseases. For this purpose, articles in the Naver News database were directly crawled, pre-processed, and used for data analysis. In addition, additional analysis was performed using Big Kinds. As a result of the priority analysis, the importance was shown in the order of corona, infectious disease, quarantine, vaccine, outbreak, virus, infection, and development. As a result of the proximity centrality analysis, the importance was shown in the order of government, death, and plan, and the analysis result of Big Kinds showed that Covid-19 and the Korea Centers for Disease Control and Prevention were important. Based on the results of this study, it can be said that the government's policy support is needed to raise public awareness of new infectious diseases, prevent disease, and develop vaccines and treatments.