• Journal of Environmental Health Sciences
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• v.46 no.4
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• pp.470-479
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• 2020

Objectives: The Coronavirus Disease 2019 (COVID-19) pandemic has caused the death of 740,000 people around the world as of August 12, 2020. Foot-and-Mouth Disease, Avian Influenza, and African Swine Fever are serious livestock diseases. Government agencies in Korea have provided ingredient information and usage instructions for disinfectants used to counter those infectious diseases. The purpose of this study was to provide information on the chemical ingredients in disinfectant products used against COVID-19 and certain livestock diseases. Methods: We collected information from the Korean government. The Central Disaster Management Headquarters and Central Disease Control Headquarters provided information on disinfectant products used against COVID-19. The Animal and Plant Quarantine Agency of Korea provided information on efficacy-certified disinfectant products for use against selected livestock diseases. Health hazard and environmental hazard information on the ingredients in the disinfectants was collected from the Korea Occupational Safety & Health Agency's Material Safety Data Sheets, and toxicity value information was collected from United States Environmental Protection Agency's CompTox Chemicals Dashboard. Results: There were 76 COVID-19 disinfectant products in use, and the most common ingredients were benzalkonium chloride (51%), alkylbenzyl dimethyl ammonium (30%), and ethanol (3%). There were 216 livestock disease disinfectant products comprised of 89 acidic, 88 oxidic, 30 aldehydic, three alkaline, and six other products. Among the 49 active ingredients used in the disinfectants that were investigated, health and environmental hazard information was provided for many of them, but only 20 chemicals had official toxicological information. Conclusion: Since the disinfectants included numerous chemicals, an understanding of their chemical characteristics could be critical to prevent unintended human or environmental exposure.

• Journal of Veterinary Science
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• v.22 no.1
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• pp.4.1-4.13
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• 2021

Background: Microsporum canis is a zoonotic disease that can cause dermatophytosis in animals and humans. Objectives: In clinical practice, ketoconazole (KTZ) and other imidazole drugs are commonly used to treat M. canis infection, but its molecular mechanism is not completely understood. The antifungal mechanism of KTZ needs to be studied in detail. Methods: In this study, one strain of fungi was isolated from a canine suffering with clinical dermatosis and confirmed as M. canis by morphological observation and sequencing analysis. The clinically isolated M. canis was treated with KTZ and transcriptome sequencing was performed to identify differentially expressed genes in M. canis exposed to KTZ compared with those unexposed thereto. Results: At half-inhibitory concentration (½MIC), compared with the control group, 453 genes were significantly up-regulated and 326 genes were significantly down-regulated (p < 0.05). Quantitative reverse transcription polymerase chain reaction analysis verified the transcriptome results of RNA sequencing. Gene ontology enrichment analysis and Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that the 3 pathways of RNA polymerase, steroid biosynthesis, and ribosome biogenesis in eukaryotes are closely related to the antifungal mechanism of KTZ. Conclusions: The results indicated that KTZ may change cell membrane permeability, destroy the cell wall, and inhibit mitosis and transcriptional regulation through CYP51, SQL, ERG6, ATM, ABCB1, SC, KER33, RPA1, and RNP genes in the 3 pathways. This study provides a new theoretical basis for the effective control of M. canis infection and the effect of KTZ on fungi.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.3
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• pp.247-257
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• 2020

Livestock epidemics, such as foot and mouth disease, are causing enormous economic losses due to their strong infectious power. Early detection of infectious diseases in livestock is very important, but it is difficult to diagnose early in individual farms, and there are frequent cases of transmission through inter-farm movement such as veterinarians and feeding vehicles. In this study, we studied the technology that enables rapid diagnosis without veterinarian farm visits and prevents further spread by automatically monitoring the body temperature of livestock using ubiquitous-based information and communication technology in the early stage of onset and sending it in real time. We have presented a technique for systematically managing livestock epidemics at the farm level, regional level, and national level by using the community mapping technique by using the remote medical treatment system linked to the automatically collected information. In this process, community mapping items for each step and stakeholders were derived for crowd sourcing based spatial information technology.

• 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.

• Korean Journal of Veterinary Service
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• v.36 no.1
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• pp.61-65
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• 2013

We investigated the prevalence of infectious duck diseases using 156 ducks reared in 18 farms of western Gyeong-nam province. As a result, duck viral hepatitis (12.8%), colibacillosis (7.1%), and fungal disease (9.0%) were detected. However, avian influenza and riemerellosis were not detected. During autopsies, we could grossly observed red swollen liver (12.8%), petechial or ecchymotic hemorrhage on liver (11.5%), and fibrinous perihepatitis (9.0%). Gray-white necrotic spot (23.1%), swollen spleen (22.8%), swollen kidney (20.5%), hyperemia or hemorrhage on tracheal mucous membrane (8.3%), and nodule in long or air sac (9.0%) were also found.

• Journal of Preventive Medicine and Public Health
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• v.50 no.6
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• pp.411-414
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• 2017

Antimicrobial resistance and emerging infectious diseases, including avian influenza, Ebola virus disease, and Zika virus disease have significantly affected humankind in recent years. In the premodern era, no distinction was made between animal and human medicine. However, as medical science developed, the gap between human and animal science grew deeper. Cooperation among human, animal, and environmental sciences to combat emerging public health threats has become an important issue under the One Health Initiative. Herein, we presented the history of One Health, reviewed current public health threats, and suggested opportunities for the field of public health through better understanding of the One Health paradigm.

• Korean Journal of Veterinary Research
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• v.59 no.2
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• pp.97-100
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• 2019

It is important to select the correct disinfectants and to use them appropriately in order to prevent the initial spread of highly infectious livestock disease, such as foot-and-mouth disease or highly pathogenic avian influenza. This study describes a smartphone application developed to enable livestock workers to observe information related to disinfectants for the prevention of livestock disease in the domestic market, regardless of time and location, through a Linux-based Android mobile platform. This application (Konkuk-Disinfectant Information Database) provides information on disinfectant names, components, license and use; it was designed to enable the user to share disinfectant information through social media.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.05a
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• pp.450-452
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• 2022

In this paper, we present a standard model of livestock epidemic service in the field of smart livestock, which is emerging as an important issue in smart agriculture. By using the network to identify the global livestock epidemic disease risk and provide relevant models to service users, it is expected that it will actually provide economic benefits to livestock owners and ultimately help the national livestock industry economy. In order to apply the standard livestock epidemic service standard model and the livestock infectious disease crisis mitigation standard model sharing method that is presented in conjunction with ICT to the standards in the domestic and international agricultural and livestock industries in the future, continuous research will be carried out.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.12-14
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• 2022

In this paper, we present a standard conceptual model of livestock epidemic service in the field of smart livestock, which is emerging as an important issue in smart agriculture. By using the network to identify the global livestock epidemic disease risk and provide relevant models to service users, it is expected that it will actually provide economic benefits to livestock owners and ultimately help the national livestock industry economy. In order to apply the standard livestock epidemic service standard model and the livestock infectious disease crisis mitigation standard model sharing method that is presented in conjunction with ICT to the standards in the domestic and international agricultural and livestock industries in the future, continuous research will be carried out.

• IEIE Transactions on Smart Processing and Computing
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• v.2 no.5
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• pp.302-309
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• 2013

This paper proposes a mathematical model of Caprine arthritis encephalitis (CAE), which is a disease causing significant economic damage to the goat farming industry, and reports the application of this model to the development of an information management system of animal quarantine to overcome this disease. The mathematical model of CAE was derived from the AIDs model in human case because epidemical characteristics of these diseases including infection pass are similar. This model can be expressed by simultaneous differential equations. Simulations using a new model were performed according Euler's and Runge-Kutta method using numerical analysis software. In each method, strong convergence was observed and the results were similar. The design of an information management system of animal quarantine was proposed as an application of the new model. System design was constructed on the assumption that in subtropical islands, the expected development of information infrastructure and utilization will become valuable in the future.