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1.
Emerg Infect Dis ; 19(4): 655-9, 2013 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-23632094
2.
J Vet Med Sci ; 76(2): 281-4, 2014 Mar 01.
Artigo em Inglês | MEDLINE | ID: mdl-24107465

RESUMO

A 6-year-old Thoroughbred gelding was euthanized after a 2-month period of abnormal neurological signs, such as circling left in his pen and hitting his head and body against the wall. After the horse was euthanized on the farm, a half of the brain and whole blood were submitted for diagnostic tests. Histopathological examination of the brain revealed granulomatous and eosinophilic meningoencephalitis with numerous intralesional nematodes, predominantly affecting the cerebrum. Multifocal malacic foci were scattered in the brain parenchyma. The intralesional parasites were identified as Halicephalobus gingivalis by morphological features and PCR testing. To the best of our knowledge, this is the first report of meningoencephalitis caused by H. gingivalis in the horse in Korea.


Assuntos
Doenças dos Cavalos/patologia , Doenças dos Cavalos/parasitologia , Infecções por Rhabditida/veterinária , Animais , Encéfalo/parasitologia , Encéfalo/patologia , Evolução Fatal , Técnicas Histológicas , Cavalos , Filogenia , Infecções por Rhabditida/patologia
3.
Osong Public Health Res Perspect ; 4(3): 127-32, 2013 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-24159543

RESUMO

OBJECTIVES: This study aims to develop a method for calculating infection time lines for disease outbreaks on farms was developed using the 2010/2011 foot-and-mouth disease (FMD) epidemic in the Republic of Korea. METHODS: Data on farm demography, the detection date of FMD, the clinical history for the manifestation of lesions, the presence of antibodies against FMD virus (including antibodies against the structural and nonstructural proteins of serotype O), vaccination status (O1 Manisa strain), the number of reactors and information on the slaughter of infected animals were utilized in this method. RESULTS: Based on estimates of the most likely infection date, a cumulative detection probability that an infected farm would be identified on a specific day was determined. Peak infection was observed between late December and early January, but peak detection occurred in mid-January. The early detection probability was highest for pigs, followed by cattle (dairy, then beef) and small ruminants. Nearly 90% of the infected pig farms were detected by Day 11 post-infection while 13 days were required for detection for both dairy and beef cattle farms, and 21 days were necessary for small ruminant (goat and deer) farms. On average, 8.1 ± 3.1 days passed prior to detecting the presence of FMD virus on a farm. The interval between infection and detection of FMD was inversely associated with the intensity of farming. CONCLUSION: The results of our study emphasize the importance of intensive clinical inspection, which is the quickest method of detecting FMD infection and minimizing the damage caused by an epidemic.

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