• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.3
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• pp.89-101
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• 2015

Outbreaks of highly pathogenic avian influenza(HPAI) subtype H5N8 have occurred in Korea, January 2014 and it continued more than a year until 2015. And more than 5 million heads of poultry hads been damaged in 196 farms until May 2014. So, we studied the spatial, temporal and spatio-temporal patterns of the HPAI epidemics for understanding the propagation and diffusion characteristics of the 2014 HPAI. The results are expressed using GIS. Throughout the study period three epidemic waves occurred over the time. And outbreaks made three clusters in space. First spatial cluster is adjacent areas of province of Chungcheongbuk-do, Chungcheongnam-do and Gyeonggi -do. Second is Jeonlabuk-do Gomso Bay area. And the last is Naju and Yeongam in Jeollanam-do. Also, most of spatio-temporal clusters were formed in spatially high clustered areas. Especially, in Gomso Bay area space density and spatio-temporal density were concurrent. It means that the effective prevention activity for HPAI was carried out. But there are some exceptional areas such as Chungcheongbuk-do, Chungcheongnam-do, Gyeonggi-do adjacent area. In these areas the outbreak density was high in space but the spatio-temporal cluster was not formed. It means that the HPAI virus was continuing inflow over a long period.

• The Korean Society of Law and Medicine
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• v.16 no.2
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• pp.263-291
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• 2015

In May, 2015, a 68 years old man, who has been Middle East Saudi Arabia and the United Arab Emirates, had high fever, muscle aches, cough and shortness of breath. he went two local hospital near his house and the S Medical Center emergency center. He was diagnosed MERS(Middle East respiratory syndrome) and the diseases had put South Korea the fear of epidemics for three months. Especially, this disease has firstly reported in Middle East Asia in September 2012 and spreaded to twenty-six countries. In 21, July, 2015, European Center for disease prevention and control reported 533 people were died and in South Korea, 186 people were infected, 36 people were died and 16,693 people were isolated from MERS. South Korea government were faced into epidemic control and blamed from public. Especially, hospital acquired infection, disease control chain, opening of information, ventilation, lack of isolation bed, the problem of function of local health center, the issue of reparation for hospital and insurance cover rate, the classification of disease, the role of Korea Centers for disease control and prevention, the culture of visiting hospital to see sick people, the issue of hospital multiple room and other related social support policy. it is time to study and discuss to solve these problems. South Korea citizens felt fear and fright from MERS. What is wore, they thought the dieses were out of their government control. It was unusual case for word except Middle East Asia. numerous tourists canceled visiting korea. South korea economic were severly damaged especially, tourism industry. South korea government should admit that they had failed initial action against MERS and take full reasonability from any damages. The government have to open information to public in terms of epidemic diseases and try to prevent any other epidemic diseases and try to work with local governments.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.116-126
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• 2022

Many studies using trademark information have suggested that trademark information is good data to monitor business trends. This study intends to analyze the trend change before and after COVID-19 using trademark information. Changes before and after COVID-19 were analyzed by using goods & service classification, similar group code, and designated goods information as trademark information. Among the trademark information, it was statistically significant that the change in trends before and after COVID-19 using designated goods names. To verify the results, the changes in keywords using designated goods names before and after COVID-19 were compared with the frequency of keywords in Google Trends. Among the top 8 keywords extracted from designated goods names, the frequency of Google trend searches for 'online, antibacterial, prevention of epidemics, meal kit, virtual' is on the rise, and 'mask, droplet' is not on the rise, but it increased rapidly at the time of COVID-19, and even after COVID-19, it showed a higher level than before. The frequency of 'unmanned' does not differ much before and after COVID-19, but it has been maintained at a consistently high level, and related businesses have been active since before COVID-19, and it can be interpreted as a keyword with high public interest. This study has academic achievements in that it specifically identified information that could be used in business trends by using three types of trademark information.

• Clinical and Experimental Pediatrics
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• v.48 no.3
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• pp.260-265
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• 2005

Purpose : During epidemics, influenza induces a high mortality and morbidity, and when influenza is prevalent, it is revealed by increased pneumonia, hospitalization due to influenza-like illness, and mortality in community. We aimed at the isolation of influenza virus and prevalence period in Busan from 2000 to 2002. Methods : For 3 years from 2000 to 2002, we analyzed the patterns of influenza virus, the occurrence distribution of influenza by age and sex and the prevalence period after cultivating the examined materials from throat smears and snivel, collected from patients in St. Benedict Hospital Pediatrics Department, from 10 monitoring hospitals, and from 16 public health centers. Results : For three years, a total of 209 strains of influenza virus were isolated. In 2000, there were A/sydney/05/97(H3N2)-like, A/Beijing/262/95(H1N1)-like and B/Harbin/07/94-like. In 2001, there were A/Panama/2007/99(H3N2)-like and A/Newcaledonia/20/99(H1N1)-like. In 2002, there were A/Panama/2007/99(H3N2)-like, A/Newcaledonia/20/99(H1N1)-like, B/Beijing/243/97, B/Honkong/22/2001 and B/Sichuam/379/99. The occurrence distribution by sexes were 14 males and 25 females in 2000, 23 males and 33 females in 2001, 57 males and 57 females in 2002. As for the occurrence distribution by ages, 0-10 years made up 48.4 percent in 2000, 11-20 years 33.93 percent in 2001, and below 10 years was 64.91 percent in 2002. As for the occurrence distribution by month, the rate was once high in January and somewhat high in April and by June, when there happened to be various viruses, though there was a low rate in 2000. On the other hand, the virus was concentrated in February and March in 2001. And in 2002, it happened high twice, in March and November. Conclusion : Influenza virus revealed frequent antigenic changes and infect children, especially those below 10 years of age from late fall to early spring. So we should consider appropriate prevention in children.