• Journal of Korean Public Health Nursing
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• v.24 no.1
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• pp.115-125
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• 2010

Purpose: This study was conducted to investigate the knowledge of infectious diseases and the management of children with infectious diseases among daycare facility teachers. Methods: This study was based on survey questionnaires completed by 122 day care facility teachers from 36 daycare center sin one district in Seoul. Results: Seventy three (72.8%) of the participating daycare facility teachers had not received infectious disease prevention education. They recognized that they did not have enough knowledge of infectious diseases. The average knowledge level of infectious diseases was scored as 9.30 on a 0-30 scale, with 0 representing no knowledge and 30 expert knowledge, and compliance level of management of children with infectious diseases was scored as 4.29 on a 0-16 scale, with 0 present no compliance and 16 representing total compliance Confidence of management of children with infectious diseases (r=0.24, p=.031) and the compliance level of management (r=0.35, p=.001) were higher with increased knowledge of infectious diseases. Conclusions: Daycare facility teacher scan lack sufficient knowledge about b infectious diseases. The education about infectious diseases and management of children with infectious diseases is indispensable to prevent trans mission of infectious diseases in daycare facilities.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.137-154
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• 2018

Animal infectious diseases, such as avian influenza and foot and mouth disease, occur almost every year and cause huge economic and social damage to the country. In order to prevent this, the anti-quarantine authorities have tried various human and material endeavors, but the infectious diseases have continued to occur. Avian influenza is known to be developed in 1878 and it rose as a national issue due to its high lethality. Food and mouth disease is considered as most critical animal infectious disease internationally. In a nation where this disease has not been spread, food and mouth disease is recognized as economic disease or political disease because it restricts international trade by making it complex to import processed and non-processed live stock, and also quarantine is costly. In a society where whole nation is connected by zone of life, there is no way to prevent the spread of infectious disease fully. Hence, there is a need to be aware of occurrence of the disease and to take action before it is distributed. Epidemiological investigation on definite diagnosis target is implemented and measures are taken to prevent the spread of disease according to the investigation results, simultaneously with the confirmation of both human infectious disease and animal infectious disease. The foundation of epidemiological investigation is figuring out to where one has been, and whom he or she has met. In a data perspective, this can be defined as an action taken to predict the cause of disease outbreak, outbreak location, and future infection, by collecting and analyzing geographic data and relation data. Recently, an attempt has been made to develop a prediction model of infectious disease by using Big Data and deep learning technology, but there is no active research on model building studies and case reports. KT and the Ministry of Science and ICT have been carrying out big data projects since 2014 as part of national R &D projects to analyze and predict the route of livestock related vehicles. To prevent animal infectious diseases, the researchers first developed a prediction model based on a regression analysis using vehicle movement data. After that, more accurate prediction model was constructed using machine learning algorithms such as Logistic Regression, Lasso, Support Vector Machine and Random Forest. In particular, the prediction model for 2017 added the risk of diffusion to the facilities, and the performance of the model was improved by considering the hyper-parameters of the modeling in various ways. Confusion Matrix and ROC Curve show that the model constructed in 2017 is superior to the machine learning model. The difference between the2016 model and the 2017 model is that visiting information on facilities such as feed factory and slaughter house, and information on bird livestock, which was limited to chicken and duck but now expanded to goose and quail, has been used for analysis in the later model. In addition, an explanation of the results was added to help the authorities in making decisions and to establish a basis for persuading stakeholders in 2017. This study reports an animal infectious disease prevention system which is constructed on the basis of hazardous vehicle movement, farm and environment Big Data. The significance of this study is that it describes the evolution process of the prediction model using Big Data which is used in the field and the model is expected to be more complete if the form of viruses is put into consideration. This will contribute to data utilization and analysis model development in related field. In addition, we expect that the system constructed in this study will provide more preventive and effective prevention.

• 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.

• Parasites, Hosts and Diseases
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• v.59 no.4
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• pp.427-432
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• 2021

The infection status of zoonotic trematode metacercariae (ZTM) was investigated in total 568 freshwater fishes (19 species) from the irrigation canal of Togyo-jeosuji (Reservoir) in Cheorwon-gun, Gangwon-do, the Republic of Korea for 3 years (2018-2020). All fishes were examined using the artificial digestion method. The metacercariae of Clonorchis sinensis (CsMc) were detected in 180 (43.8%) out of 411 fish of positive species, and their infection intensity was 38 per fish infected (PFI). Especially, in 2 fish species, i.e., Pseudorasbora parva and Puntungia herzi, the prevalence was 82.1% and 31.3%, and the infection intensity with CsMc was 88 and 290 PFI, respectively. Metagonimus spp. metacercariae (MsMc) were found in 403 (74.1%) out of 544 fish of positive species, and their infection intensity was 62 PFI. In the pale chub, Zacco platypus, the prevalence of MsMc was 98.6%, and their infection intensity was 144 PFI. Centrocestus armatus metacercariae were detected in 171 (38.9%) out of 440 fish of positive species, and their infection intensity was 1,844 PFI. Echinostoma spp. metacercariae were found in 94 (19.6%) out of 479 fish of positive species, and their infection intensity was 3 PFI. Metorchis orientalis metacercariae were detected in 43 (29.3%) out of 147 fish of positive species, and their infection intensity was 4 PFI. By the present study, it has been confirmed that some species of ZTM, including CsMc and MsMc, are prevalent in fishes from the irrigation canal of Togyo-jeosuji in Cheorwon-gun, Gangwon-do, Korea.

• The Korean Society of Law and Medicine
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• v.16 no.1
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• pp.289-312
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• 2015

The propagation of Infectious Diseases is very dreadful. It is not easy to detect through whom and where Infectious diseases start. Due to traffic development, these days, viral infectious diseases that weren't known in Korea in the past sometimes emerge in Korea, that is, probability to be propagated by certain viral infectious disease is getting bigger and bigger. The prevention of infectious diseases should be thoroughly blocked before they are introduced, nevertheless, when introduced, the government has a duty and responsibility to prevent them from spreading as soon as possible. There may be a terrible case that a certain infectious disease is spreading all over the world. Of course, in this case, cooperation between countries becomes more and more important than ever. But even in this situation, the nation's role should not decrease. Quarantine Law in Korea says that the government can take a quarantine measures to minimize the risk of infection. So the government can isolated questionable people with the risk of infection as well as people with the risk of infection. Quarantine or Isolation is a quite effective measures to prevent the viral infectious disease, however, it allows all subjects' right of freedom to be restricted. So, in any case that a infectious disease is spreading quickly, the probability for subjects to be isolated unreasonably or preposterously can probably happen. In this paper, I'll consider and discuss about the harmony between Public Health and Human Rights through quarantine or isolation.

• Korean Public Health Research
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• v.44 no.4
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• pp.83-85
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• 2018

As the main aim of infectious disease epidemiology is to prevent a pathogen transmission, traditional epidemiological studies have focused on the evaluation of individual-level risk factors. But group-level factors as well as individual-level are important in understanding and controlling transmission of infectious diseases, especially sex-transmitted infectious diseases. Multi-level analysis (MLA) is known as a powerful analytical tool for investigating both levels simultaneously. While new cases of HIV/AIDS in Korea are increasing annually, it is urgently needed to establish research system for MLA led by Korea Centers for Disease Control & Prevention.

• Molecules and Cells
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• v.45 no.3
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• pp.148-157
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• 2022

Hepatitis C virus (HCV) is a major cause of chronic liver disease and is highly dependent on cellular proteins for viral propagation. Using protein microarray analysis, we identified 90 cellular proteins as HCV nonstructural 5A (NS5A) interacting partners, and selected telomere length regulation protein (TEN1) for further study. TEN1 forms a heterotrimeric complex with CTC and STN1, which is essential for telomere protection and maintenance. Telomere length decreases in patients with active HCV, chronic liver disease, and hepatocellular carcinoma. However, the molecular mechanism of telomere length shortening in HCV-associated disease is largely unknown. In the present study, protein interactions between NS5A and TEN1 were confirmed by immunoprecipitation assays. Silencing of TEN1 reduced both viral RNA and protein expression levels of HCV, while ectopic expression of the siRNA-resistant TEN1 recovered the viral protein level, suggesting that TEN1 was specifically required for HCV propagation. Importantly, we found that TEN1 is re-localized from the nucleus to the cytoplasm in HCV-infected cells. These data suggest that HCV exploits TEN1 to promote viral propagation and that telomere protection is compromised in HCV-infected cells. Overall, our findings provide mechanistic insight into the telomere shortening in HCV-infected cells.

• Journal of Digital Convergence
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• v.18 no.6
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• pp.479-493
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• 2020

Outbreak of COVID-19 originated from China resulted significantly high casualties and social and economic damages. Currently the major countries see importance of accurate prediction of originating trend to prevent the spread of infectious disease and AI is actively utilized when establishing the system. Therefore this study has comprehended the status of utilizing the AI in overseas and made comparison and analysis with domestic status. It derived the necessity to establish national control tower based on One Health to respond to infectious disease to effectively utilize AI and suggested to establish higher organization, Medical Big Data Governance, to respond to the infectious disease. It is necessary to conduct further study to utilize the results and suggestions derived from this study into the policy and if the suggestions are reflected to improve institutional imperfection, it will be positively used for prevention of the spreading infectious disease and utilizing medical Big Data.

• Korean Journal of Veterinary Service
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• v.44 no.4
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• pp.283-290
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• 2021

This is a study on the improvement of the chemical treatment method of the livestock carcass treatment newly introduced in the livestock infectious disease prevention method in order to improve the problems of the existing burial-centered carcass treatment method when a livestock infectious disease occurs. It was conducted to establish detailed treatment standards for the chemical treatment method of pig carcasses based on the results of proof of the absence of infectious diseases in pigs. After inoculating pig carcasses with 10 pathogens (6 viruses [FMDV, ASFV, CSFV, PCV2, PRRSV, PEDV] and 4 bacteria [Lawsonia intracellularis, Clostridium perfringens type C, E. coli, Salmonella Typhimurium]) It was treated at 90℃ for 5 hours in a potassium hydroxide (KOH) liquid solution corresponding to 15% of the body weight. This method liquefies all cadaveric components and inactivates all inoculated pathogens. Based on these results, it was possible to prove that chemical treatment of pig carcasses is effective in killing pathogens and is a safe method without the risk of disease transmission. Although there are problems to be solved in the processing and operation of the chemical treatment products of livestock carcasses, the chemical treatment method of livestock carcasses can be suggested as an alternative to the current domestic burial-centered livestock carcass treatment method, preventing environmental pollution, and contributing to public health.

• Journal of Preventive Medicine and Public Health
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• v.40 no.4
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• pp.259-264
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• 2007

Effective communicable disease surveillance systems are the basis of the national disease prevention and control. Following the increase in emerging and re-emerging infectious diseases since late 1990s, the Korean government has strived to enhance surveillance and response system. Since 2000, sentinel surveillance, such as influenza sentinel surveillance, pediatric sentinel surveillance, school-based sentinel surveillance and ophthalmological sentinel surveillance, was introduced to improve the surveillance activities. Electronic reporting system was developed in 2000, enabling the establishment of national database of reported cases. Disweb, a portal for sharing communicable disease information with the public and health care workers, was developed. In general, the survey results on usefulness and attributes of the system, such as simplicity, flexibility, acceptability, sensitivity, timeliness, and representa-tiveness, received relatively high recognition. Compared to the number of paid cases of national health insurance, reported cases by national notifiable disease surveillance system, and various sentinel surveillance system, the result of the correlation analysis was high. According to the research project conducted by KCDC, the reporting rate of physicians in 2004 has also greatly improved, compared with that in 1990s. However, continuous efforts are needed to further improve the communicable disease surveillance system. Awareness of physicians on communicable disease surveillance system must be improved by conducting education and information campaigns on a continuous basis. We should also devise means for efficient use of various administrative data including cause of death statistics and health insurance. In addition, efficiency of the system must be improved by linking data from various surveillance system.