• Title/Summary/Keyword: Infectious Disease Detection

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Intelligent Automated Detection System of Tuberculosis Bacilli by Using Their Color Information (컬러 정보를 이용한 지능형 결핵균 검출 자동화 시스템)

  • Cho, Sung-Man;Kim, Gi-Bom;Lim, Choong-Hyuk;Joo, Won-Jong
    • Journal of the Korean Society for Precision Engineering
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    • v.24 no.11
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    • pp.126-133
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    • 2007
  • Tuberculosis (TB) is a chronic or acute infectious disease which damages more people than any other infectious diseases according to WHO estimates. In this paper, a new automatic detection system of tuberculosis bacilli by using their color information is proposed. Through the deep investigation of color and intensity compositions of tuberculosis images, new pre-processing and segmentation algorithms are suggested. Specific features of bacilli are extracted from the processed images and number counting is done by using domain-specific knowledge rules.

Performance of the xTAG$^{(R)}$ Gastrointestinal Pathogen Panel, a Multiplex Molecular Assay for Simultaneous Detection of Bacterial, Viral, and Parasitic Causes of Infectious Gastroenteritis

  • Claas, Eric C.;Burnham, Carey-Ann D.;Mazzulli, Tony;Templeton, Kate;Topin, Francois
    • Journal of Microbiology and Biotechnology
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    • v.23 no.7
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    • pp.1041-1045
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    • 2013
  • The xTAG$^{(R)}$ Gastrointestinal Pathogen Panel (GPP) is a multiplexed molecular test for 15 gastrointestinal pathogens. The sensitivity and specificity of this test were assessed in 901 stool specimens collected from pediatric and adult patients at four clinical sites. A combination of conventional and molecular methods was used as comparator. Sensitivity could be determined for 12 of 15 pathogens and was 94.3% overall. The specificity across all 15 targets was 98.5%. Testing for the pathogen identified was not requested by the physician in 65% of specimens. The simultaneous detection of these 15 pathogens can provide physicians with a more comprehensive assessment of the etiology of diarrheal disease.

Detection of Mycobacterium bovis in the lymph node of tuberculin positive cattle by guanidium isothiocyanate/silica DNA extraction and polymerase chain reaction

  • Cho, Yun-Sang;Jung, Suk-Chan;Yoo, Han-Sang;Kim, Jong-Man
    • Korean Journal of Veterinary Service
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    • v.30 no.2
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    • pp.233-241
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    • 2007
  • Tuberculin positive cattle without gross tubercle lesions should be confirmed by the bacteriological examination to determine the state of the infection. To overcome the time-consuming and laborious identification by culture and biochemical tests, polymerase chain reaction (PCR) has been used to identify Mycobacterium bovis. Due to various lipids in the cell wall of Mycobacterium spp, novel methods of DNA extraction from Mycobacterium spp have been developed. In this study, a newly developed guanidium isothiocyanate/silica DNA extraction method was directly applied to specimens from the tuberculin positive cattle. DNAs were directly extracted from the lymph nodes and the major polymorphic tandem repeat (MPTR) and mycobacterial protein of BCG 70 (MPB70) were amplified using PCR. The DNA extraction method using guanidium isothiocyanate/silica was efficient and safe, and the MPTR and MPB70 primers were specific to M bovis. Therefore, MPTR and MPB70 PCRs will be useful for the detection of M bovis in the lymph node from skin-test positive cattle.

The serological studies on infectious bursal disease (전염성 F낭병에 대한 혈청학적 연구)

  • 정영미;서석열;도홍기;조정곤;노수일
    • Korean Journal of Veterinary Service
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    • v.23 no.3
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    • pp.271-279
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    • 2000
  • This study was carried out to provide the fundamental information for development of proper vaccination program against infectious bursal disease(IBD) to the local chicken farms. The antigen detection was peformed from 8 samples of bursa of Fabricius with agar gel precipitation(AGP) and indirect immunofluorescent assay(IFA), And also, the antibodies in serum samples were detected by the various serological methods such as commercial ELISA assay, AGP and virus neutralization(VN) test. 1. The antigen detection rates were 25% for AGP which is 2 out of 8 farms and 10 out of 40 bursas, and 25% which Is 2 out of 8 farms and 20% 8 out of 40 bursas for IFA, respectively. 2. The mean titer of maternal antibody (>3,000) existed until 10 days of the age with ELISA-GMT. 3. The antibody positive rates which are over 80% showed until 5 days of the age with ELISA and at 10 days of the age with AGP except one, but none of them showed from 1 day of the age. This report came to conclusions that both the protective maternal antibody titers and the antigen positive rates were significant until at the 10 days of the age.

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Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm

  • Kshirsagar, Pravin R.;Manoharan, Hariprasath;Tirth, Vineet;Naved, Mohd;Siddiqui, Ahmad Tasnim;Sharma, Arvind K.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.7
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    • pp.2414-2433
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    • 2021
  • This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore, to check the effectiveness of the proposed robotic technology, an online monitoring system is employed where the output is realized using MATLAB. From simulated values, it is observed that the proposed method outperforms the existing method in terms of data quality with an observed percentage of 82.

Role of dendritic cells in infectious disease and tumor (감염질환(infectious disease)과 종양면역(tumor immunity)에 있어서 수지상 돌기세포(dendritic cells)의 역할)

  • 임종석;김광동
    • The Microorganisms and Industry
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    • v.26 no.1
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    • pp.8-17
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    • 2000
  • Thirtythree strains of the Aspergillus spp. isolated from foodstuffs were observed through some physiological characteristics for detection of identification key of Aspergillus spp. 1) Each strain of Aspergillus spp. had their specific characteristics and could be used for identification of species. 2) Excellent amylase-producing fungi were observed among the isolated strains of Aspergillus spp. 3) Amylase activities increased for one week incubation period. 4) In the tests of common characters of aflatoxin-producing fungi among the 33 strains of Aspergillus spp., for example, conidial size, presence of sclerotia, kojic acid, and pigment production, coloration of phenol, reduction of methylene blue, etc.

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PCR Detection of Ranavirus in Gold-spotted Pond Frogs (Rana plancyi chosenica) from Korea

  • Kim, Suk;Sim, Mi-Yeong;Eom, Ahn-Heum;Park, Dae-Sik;Ra, Nam-Yong
    • Korean Journal of Environmental Biology
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    • v.27 no.1
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    • pp.110-113
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    • 2009
  • In recent years, there has been a rapid global decline in amphibian populations, and infectious diseases have been associated with this decline. Diseased Gold-spotted pond frogs (Rana plancyi chosenica) were collected from a frog farm in Korea and identified using morphological and molecular analysis to identify the disease. The typical symptoms of ranaviral infection were observed in the tadpoles and adults frogs. The nucleotide sequence analysis revealed that the sequences showed the closest similarity with sequences to Frog virus 3, which belongs to the genus Ranavirus.

Trends in Diagnostic Technology for Respiratory Infectious Disease (호흡기 감염병 진단 기술 동향)

  • J.W. Park;H.-S. Seo;C. Huh;S.J. Park
    • Electronics and Telecommunications Trends
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    • v.39 no.4
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    • pp.54-62
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    • 2024
  • The emergence and resurgence of novel respiratory infectious diseases since the turn of the millennium, including SARS, H1N1 flu, MERS, and COVID-19, have posed a significant global health threat. Efforts to combat these threats have involved various approaches, however, continued research and development are crucial to prepare for the possibility of emerging viruses and viral variants. Direct detection methods for viral pathogens include molecular diagnostic techniques and immunodiagnostic methods, while indirect diagnostic methods involve detecting changes in the condition of infected patients through imaging diagnostics, gas analysis, and biosignal measurement. Molecular diagnostic techniques, utilizing advanced technologies such as gene editing, are being developed to enable faster detection than traditional PCR methods, and research is underway to improve the efficiency of diagnostic devices. Diagnostic technologies for infectious diseases continue to evolve, and several key trends are expected to emerge in the future. Automation will facilitate widespread adoption of rapid and accurate diagnostics, portable diagnostic devices will enable immediate on-site diagnosis by healthcare professionals, and advancements in AI-based deep learning diagnostic models will enhance diagnostic accuracy.

Identification of Korean native cattle persistently infected with BVDV using Ear-notch method

  • Kim, Youngsik;Kim, Yongkwan;Lee, Sook-Young;Lee, Kyoung-Ki;Lee, Kyung-Hyun;Song, Jae-Chan;Oem, Jae-Ku
    • Korean Journal of Veterinary Service
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    • v.42 no.2
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    • pp.117-120
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    • 2019
  • Bovine viral diarrhea Virus (BVDV) infections cause respiratory, gastrointestinal, and reproductive problems, such as infertility, abortion, stillbirth, and sickly offspring. Many countries have reduced the economic damage through the application of different control programmes, and some have successfully eradicated BVD. Detection and elimination of cattle persistently infected (PI) with BVDV is important for BVD eradication because PI cattle are a main source of BVD transmission. In this study, the prevalence of Korean native cattle persistently infected (PI) with BVDV was investigated and determined in 49 farms with 3,050 cattle. The all samples were collected by ear notch sampling. Korean native cattle with initial positives on antigen-ELISA (Ag-ELISA) were sampled again after 3~4 weeks and cattle with second positives in both Ag-ELISA and immunohistochemistry (IHC) were identified as PI cattle. Among the 49 farms, 14 (28.6%) farms had at least more than one PI cow and 21 (0.69%) of 3,050 cattle were determined as PI cattle. As a result of this work, it is suggested that national BVD eradication program is required to reduce economic losses by BVDV infection in Korean cattle industries.

Detection of infectious pathogens in honeybee in Jeonbuk province, Korea (전북지역 꿀벌에서의 주요 병원체 검출)

  • Lee, Su-Ji;Yu, Cheong;Lee, Hee-Seon
    • Korean Journal of Veterinary Service
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    • v.39 no.3
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    • pp.137-140
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    • 2016
  • The correct and quick diagnosis can be minimized damage from honeybee diseases. This study was carried out to detect infectious pathogens in honeybee in Jeonbuk province. 183 samples were collected from 8 area of Jeonbuk beekeeping farms in 2015 and 10 of infectious pathogens were examined through PCR and RT-PCR. Among 183 samples, positive rates of each disease were as follows; BQCV 43.7%, SBV 24.6%, DWV 16.4%, SB 15.8%, CB 10.4%, Nosemosis 7.1%, AFB 6.6%, EFB 1.1%, CBPV 1.1%, ABPV 0.0%. Among 28 beekeeping farms, 19 farms (67.9%) were infected with a complex of two or more diseases. The highest frequency of complex infections was BQCV.