• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.1
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• pp.19-26
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• 2019

Simulation using the virtual reality has been applied in various fields such as exercise, education, disaster simulation training, but there is a little research on disease caused by virus transmission. In this study, we conducted simulation studies and analysis of avian influenza disaster response training. The annual avian influenza virus is recurring every year in Korea, but there are still few solutions and preventive measures for the preventing the avian influenza. The avian influenza can cause a great deal of societal harm and enormous economic damage. Prophylaxis is important because livestock epidemics, such as avian influenza and foot-and-mouth disease, have a large impact on farm households. Therefore, we proposed and analyzed contents that can be avoided through simulation of avian influenza disaster response presented in this study.

• Pediatric Infection and Vaccine
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• v.26 no.3
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• pp.188-193
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• 2019

Since the implementation of conjugate Haemophilus influenzae serotype b (Hib) vaccine, the rate of infections caused by Hib has dramatically decreased, and the proportion of infections caused by non-type b H. influenzae has increased. Cerebral venous sinus thrombosis (CVST) is rare; however, it should be considered as a potential complication of bacterial meningitis. Herein, we report about a child who developed CVST after being diagnosed with H. influenzae serotype f meningitis.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.1130-1135
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• 2009

Avian Influenza is an infectious desease of birds. The infection can cause a wide spectrum of symptoms in birds, ranging from mild illness to a rapidly fatal diseases which might bring a tremendous economic loss to poultry farms[1]. It can also give fatal diseases to human. Therefore it is important to surveil wildbirds that are primary transportation of avian influenza. This report showed a relationship between avian influenza and a habitat of wildbirds using system dynamics, and concluded with suggestion for surveilance.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.299-307
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• 2022

This study is to understand the status of influenza vaccination in patients with chronic obstructive pulmonary disease and to analyze factors affecting vaccination behavior. The aim of this study was to investigate the factors influencing influenza vaccination among Chronic Obstructive Pulmonary Disease (COPD) patients over 40 years, sociodemographic characteristics and health behaviors. Data of 2,370 adults of over 40 years who answered to the survey on National Health and Nutrition and influenza vaccination from 2014 to 2018 was used and analyzed. Overall influenza vaccination rate was 59.2%. Logistic regression analysis revealed that factors influencing on influenza vaccination were over 65 age, a low income, Never/past smoker, experience of health screening. It is needed to seek a strategy to develop a vaccination program in consideration of factors associated with influenza vaccination among COPD patient over 40 years.

• Journal of Life Science
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• v.17 no.3 s.83
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• pp.340-344
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• 2007

Avian influenza viruses cause a considerable threat to humans and animals. In this study, we investigated whether alkaline disinfectant solution can inactivate H5N1, H3N2, H6N1, and H9N2 subtypes of avian influenza virus. When H5N1, H3N2, H6N1, and H9N2 avian influenza viruses were treated with alkaline solution diluted with PBS (pH 7.2) prior to infection into MDCK cells, alkaline disinfectant solution (at dilutions up to $10^{-2}$) completely inactivated all avian influenza subtypes tested. To confirm the inactivation of avian influenza viruses by alkaline disinfectant solution, we used an immunofluorescence assay with influenza A anti-nucleoprotein antibody and FITC-labeled secondary antibody to stain MDCK cells infected with avian H9N2 influenza viruses. No staining was observed in MDCK rells infected with H9N2 viruses that were pre-treated with a $10^{-2}$ dilution of alkaline disinfectant solution, while strong staining was observed in MDCK cells infected with H9N2 viruses without pre-treatment. Our results indicate that alkaline solution could help to control avian influenza viruses including the highly pathogenic H5N1 subtype.

• Korean Journal of Clinical Laboratory Science
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• v.54 no.2
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• pp.103-109
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• 2022

In December 2019, the coronavirus disease 2019 (COVID-19) caused by the virus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in China and spread rapidly around the world, infecting millions of people. Cases of COVID-19 infection were observed to lead to viral pneumonia. Thirty-five patients admitted to the Gyeonggi Medical Center, South Korea, between November 2020 to January 2021, were found to have been infected with the influenza virus A and B, which cause symptoms similar to COVID-19. The records of these patients and those of COVID-19 patients who visited the hospital for medical examination were compared. The study patients included thirty patients with COVID-19 and/or influenza, five of those with influenza alone. A group of 121 patients without infection was used as control. Patients with COVID-19 and influenza had significantly higher lactate dehydrogenase levels than the patients with COVID-19 alone. The erythrocyte sedimentation rate (ESR) was higher in patients with COVID-19 alone than in other groups. Significant clinical outliers were observed in the COVID-19 and influenza infection group compared with the COVID-19 alone group. These results are expected to play an important role in the analysis of the hematological data of infected patients and the comparison of simultaneous and single infection data to determine clinical symptoms and other signs. These results may also assist in the development of vaccines and treatments for COVID-19.

• Communications of Mathematical Education
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• v.24 no.4
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• pp.877-889
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• 2010

Mathematical modelling is a useful method for reinterpreting the real world and for solving real problems. In this paper, we introduced a theory on mathematical modelling. Further, we developed a mathematical model of the H1N1 influenza with Excel. Then, we analyzed the model which tells us what role it can play in an appropriate prediction of the future and in the decision of accompanied policies.

• Pediatric Infection and Vaccine
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• v.24 no.1
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• pp.23-30
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• 2017

Purpose: The objective of this study was to compare the clinical characteristics of influenza A and B infections and analyze the effect of oseltamivir in hospitalized children. Methods: We investigated children under the age of 15, who were diagnosed with influenza A/H1N1, A/H3N2, or B from January to April 2014. The subjects were admitted to the Changwon Fatima Hospital and diagnosed using a rapid antigen test from nasopharyngeal swabs. The medical records of the patients were retrospectively reviewed. Results: A total of 302 pediatric patients with influenza were enrolled. Influenza B infection was the most common type (n=187, 61.9%), followed by A/H3N2 (n=100, 33.1%) and A/H1N1 (n=15, 5.0%). Compared to patients diagnosed with influenza A, patients diagnosed with influenza B were older (P=0.005), and the duration of fever was significantly longer (P=0.001). A total of 161 patients (53.3%) had been vaccinated against influenza during the season, before admission. Among the patients infected with A/H3N2 and B, the duration of fever was shorter in oseltamivir recipients compared to oseltamivir non-recipients (P=0.026 and P=0.004, respectively). Conclusions: There were significant differences between influenza A and B groups in terms of age, demographics, and clinical course. Although the effectiveness of oseltamivir on influenza differs according to the type of influenza, our data provides evidence that oseltamivir is beneficial for both A and B infections.

• The Journal of Bigdata
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• v.5 no.2
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• pp.69-76
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• 2020

This study was conducted with the support of the Information and Communication Technology Promotion Center, funded by the government (Ministry of Science and ICT) in 2019. Highly pathogenic avian influenza (HPAI) is an acute infectious disease of birds caused by highly pathogenic avian influenza virus infection, causing serious damage to poultry such as chickens and ducks. High pathogenic avian influenza (HPAI) is caused by focusing on winter rather than year-round, and sometimes does not occur at all during a certain period of time. Due to these characteristics of HPAI, there is a problem that does not accumulate enough actual data. In this paper study, GAN network was utilized to generate actual similar data containing missing values and the process is introduced. The results of this study can be used to measure risk by generating realistic simulation data for certain times when HPAI did not occur.

• Microbiology and Biotechnology Letters
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• v.31 no.4
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• pp.329-333
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• 2003

Influenzavirus were isolated from patients with acute respiratory infections in Busan during 2000-2002 and characterized their antigenic properties. In 2000, 39 viruses were isolated and they were identified as Influenzavirus. Among the isolated influenzavirus, 23 were A type influenzavirus and 16 were B type influenzavirus. As a result of antigenic characterization, the influenzavirus were determined to A/Sydney/05/97 (H3N2)-like, A/Beijing/262/95 (H1N1)-like, and B/Harbin/07/94-like virus. In 2001, 56 viruses were isolated and all of the viruses were identified as influenzavirus. They were A/Panama/2007/99 (H3N2)-like and A/Newcaledonia/20/99 (H1N1)-like virus In 2002, 114 Influenzaviruses were isolated. Among the isolated influenzavirus, 83 were A type influenzaviruses, and 31 were B type influenzaviruses. They were A/Panama/2007/99 (H3N2)-like, A/Newcaledonia/20/99 (H1N1)-like and B/Beijing/243/97, B/Honkong/22/2001, B/Sichuam/379/99-like virus when determined their antigenic properties. These results may be useful for the establishment of reliable epidemic data.