• Title/Summary/Keyword: Infection prevention and control

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Efficacy of fumagillin against Telohanellus kitauei Infection of Israel carp, Cyprinus carpio nudus (향어의 장포자충증에 대한 Fumagillin의 예방 및 치료 효과시험)

  • Lee, Jae-Gu;Kim, Hyeon-Cheol;Park, Bae-Geun
    • Parasites, Hosts and Diseases
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    • v.31 no.1
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    • pp.57-66
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    • 1993
  • The potential of fumagillin dicyclohexylamine salt to treat and prevent intestinal giant-cystic disease in Israel carp, Cyprinus carpio nudus, was monitored in field experimental studies. In experiment 1 (therapeutic), most fish were already naturally infected with more advanced stage of Relohqnellu: kitnuet. Fumagillin was administered to ash (mean body weiht of 830 g for a Penod of one month at a dose of 10.62 mg in the first group and 5.3 mg in the second group per fi sh per day. In experiment 2 (fprophylactlcl), most flesh also were already naturally infected with an early developmental stage of the protozoa and fish (average body weight of 484 g) were administered fumagillln for 45 days at a dose of 3.95 mg per fish per day. In both experiments, the cumulative mortalities of fish and the extrusion rates of the polar filaments of the spores were significantly decreased in a dose-independent fashion. In experiment 2 no dead fish were observed. No adverse side effects of the drug were observed among fish from any dosage group. In experiment 2, an oval or dot-like concave lesion of most cysts developed at the 7th day and the vegetative form was never observed at the 17th day postmedication and the cysts were grossly reduced in size as compared with the control group, beginning at the 24th day until the end of the study. In contrast, it was scarcely effective to the cysts in experiment 1. Taking the seasonal development of the protozoa into consideration, the above results revealed that oral administration of fumagillin at 3.95 mg/500 g body weight/day for a month Is the optimal dose for the treatment and prevention of thelohanellosls caused by T kitnuei among C. carpio nudus.

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An Epidemiologic Investigation of Aseptic Meningitis Occurred in Pohang City : 1997~2002 (포항지역에서 발생한 무균성 뇌막염 환아의 역학적 양상 연구 : 1997~2002)

  • Kim, Seog Heon;Cheong, Hae-Kwan;Jung, Cheoll;Lee, Seonju;Ko, Joon Tae;Kim, Moon Kyu;Jeoung, Eun Young;Bae, Sun Ho
    • Pediatric Infection and Vaccine
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    • v.10 no.2
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    • pp.193-199
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    • 2003
  • Purpose : This study was performed to investigate the epidemiologic feature of aseptic meningitis in Pohang city for 6 years from 1997 to 2002. Methods : We reviewed the clinical records of 1,839(1,138 male and 701 female) aseptic meningitis patients who had been admitted to 3 general hospitals in Pohang city from 1997 to 2002. Results : 1,750 cases(1,078 male and 672 female) were selected as aseptic meningitis by reviewing clinical records. The ratio of male to female was 1.6 : 1. Aseptic meningitis occured in children of all age groups, and the prevalent age group was different by year. The most common developed month was June(31.3%), and 84.2% of cases were focused from May to August. The time from the initial manifestation to hospital admission was $4.19{\pm}2.96$ (median 3 days). Conclusion : We were performed to investigate the epidemiologic feature of clinical records of Aseptic meningitis pediatric patients who had been admitted and treated to 3 General hospitals in Pohang city from 1997 to 2002. We have to keep up Our study for consideration of the basic of Aseptic meningitis epidemiology and long term control is necessary to prevention the impact of Aseptic meningitis because Aseptic meningitis pediatric patients were continuously recorded by Epidemiological annual report in Pohang city.

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Implementation of integrated monitoring system for trace and path prediction of infectious disease (전염병의 경로 추적 및 예측을 위한 통합 정보 시스템 구현)

  • Kim, Eungyeong;Lee, Seok;Byun, Young Tae;Lee, Hyuk-Jae;Lee, Taikjin
    • Journal of Internet Computing and Services
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    • v.14 no.5
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    • pp.69-76
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    • 2013
  • The incidence of globally infectious and pathogenic diseases such as H1N1 (swine flu) and Avian Influenza (AI) has recently increased. An infectious disease is a pathogen-caused disease, which can be passed from the infected person to the susceptible host. Pathogens of infectious diseases, which are bacillus, spirochaeta, rickettsia, virus, fungus, and parasite, etc., cause various symptoms such as respiratory disease, gastrointestinal disease, liver disease, and acute febrile illness. They can be spread through various means such as food, water, insect, breathing and contact with other persons. Recently, most countries around the world use a mathematical model to predict and prepare for the spread of infectious diseases. In a modern society, however, infectious diseases are spread in a fast and complicated manner because of rapid development of transportation (both ground and underground). Therefore, we do not have enough time to predict the fast spreading and complicated infectious diseases. Therefore, new system, which can prevent the spread of infectious diseases by predicting its pathway, needs to be developed. In this study, to solve this kind of problem, an integrated monitoring system, which can track and predict the pathway of infectious diseases for its realtime monitoring and control, is developed. This system is implemented based on the conventional mathematical model called by 'Susceptible-Infectious-Recovered (SIR) Model.' The proposed model has characteristics that both inter- and intra-city modes of transportation to express interpersonal contact (i.e., migration flow) are considered. They include the means of transportation such as bus, train, car and airplane. Also, modified real data according to the geographical characteristics of Korea are employed to reflect realistic circumstances of possible disease spreading in Korea. We can predict where and when vaccination needs to be performed by parameters control in this model. The simulation includes several assumptions and scenarios. Using the data of Statistics Korea, five major cities, which are assumed to have the most population migration have been chosen; Seoul, Incheon (Incheon International Airport), Gangneung, Pyeongchang and Wonju. It was assumed that the cities were connected in one network, and infectious disease was spread through denoted transportation methods only. In terms of traffic volume, daily traffic volume was obtained from Korean Statistical Information Service (KOSIS). In addition, the population of each city was acquired from Statistics Korea. Moreover, data on H1N1 (swine flu) were provided by Korea Centers for Disease Control and Prevention, and air transport statistics were obtained from Aeronautical Information Portal System. As mentioned above, daily traffic volume, population statistics, H1N1 (swine flu) and air transport statistics data have been adjusted in consideration of the current conditions in Korea and several realistic assumptions and scenarios. Three scenarios (occurrence of H1N1 in Incheon International Airport, not-vaccinated in all cities and vaccinated in Seoul and Pyeongchang respectively) were simulated, and the number of days taken for the number of the infected to reach its peak and proportion of Infectious (I) were compared. According to the simulation, the number of days was the fastest in Seoul with 37 days and the slowest in Pyeongchang with 43 days when vaccination was not considered. In terms of the proportion of I, Seoul was the highest while Pyeongchang was the lowest. When they were vaccinated in Seoul, the number of days taken for the number of the infected to reach at its peak was the fastest in Seoul with 37 days and the slowest in Pyeongchang with 43 days. In terms of the proportion of I, Gangneung was the highest while Pyeongchang was the lowest. When they were vaccinated in Pyeongchang, the number of days was the fastest in Seoul with 37 days and the slowest in Pyeongchang with 43 days. In terms of the proportion of I, Gangneung was the highest while Pyeongchang was the lowest. Based on the results above, it has been confirmed that H1N1, upon the first occurrence, is proportionally spread by the traffic volume in each city. Because the infection pathway is different by the traffic volume in each city, therefore, it is possible to come up with a preventive measurement against infectious disease by tracking and predicting its pathway through the analysis of traffic volume.