Working equids are used in different countries for numerous purposes and regularly are crucial for multiple communities' income and profit. Historically, in Bogotá D.C. they were used as animal-powered vehicles but in 2013 it was initiated a substitution and adoption program as a result of society pressure and lawful processes. Infectious diseases and mainly parasitic diseases, poses a threat in the health and productivity of these animals. Our aim was to identify, by coproparasitological methods, the gastrointestinal and pulmonary parasite species infecting working horses submitted to the mentioned substitution and adoption program. Between May and December 2013 and February and July 2014, fresh faecal samples were obtained from 1004 and 648 horses from Bogotá D.C. and other Colombian municipalities, respectively. They were processed by flotation and Baermann tests in order to visualize faecal parasitic forms (eggs, oocysts, and larvae). Prevalences were calculated for each gastrointestinal parasite at origin and one year after, at destination, and analysed by age group and coinfection. At origin (Bogotá D.C.), prevalence for at least one parasite species was 87.5% and one year later, at destination (other municipalities), was 89.5%. The most prevalent species were strongyles (86.4-89.4%) followed by Parascaris spp. (0.7-6.2%), cestodes (Anoplocephalidae) (3.7-4.9%) and Oxyuris sp. (2.8-4.3%). Other species detected were Eimeria sp., Strongyloides sp. and Dictyocaulus sp. Coinfection by two or more species ranged between 14.4 and 38.3% being strongyle, Parascaris spp., Oxyuris sp. and cestodes (Anoplocephalidae) the most common species involved. Some parasitic infections commonly associated with younger animals (e.g. Parascaris spp.) were detected in all age groups. Flow patterns of parasites linking Bogotá D.C. and other municipalities are presented. Finally, these results support the widespread distribution of most of species and the plausible health and welfare impact of this infections in working equids submitted to particular epidemiological risks.
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http://dx.doi.org/10.1016/j.vprsr.2019.100296 | DOI Listing |
Vet Parasitol
December 2024
College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China; Key Laboratory of Clinical Diagnosis and Treatment of Animal Diseases, Ministry of Agriculture, National Animal Medicine Experimental Teaching Center, China. Electronic address:
To address the economic burden caused by livestock parasitic diseases, particularly gastrointestinal nematodes (GIN) and liver flukes, which are exacerbated by growing anthelmintic resistance, researchers are increasingly focusing on biological control strategies as a promising solution. Among these, the fungus Pochonia chlamydosporia has demonstrated promising helminth control properties. This study explored the potential of P.
View Article and Find Full Text PDFParasitol Res
November 2024
Laboratório de Protozoologia E Rickettsioses Vetoriais, Faculdade de Veterinária, Universidade Federal Do Rio Grande Do Sul (UFRGS), Porto Alegre, RS, Brazil.
A case of polyparasitism in an 8-year-old female cat from Southern Brazil is reported. Among the described clinical signs, both gurltiosis and lagochilascariasis are of rare occurrence, being categorized as neglected diseases. The diagnosis of feline crural parasitic paraplegia was established through clinical signs, necropsy lesion observations, and the presence of Gurltia paralysans in histological sections of the spinal cord.
View Article and Find Full Text PDFParasit Vectors
November 2024
Analitix Giant Clinical Research Co., LTD, Commercial Center Bldg 1, 258 Lvdi Avenue, Huaqiao, Kunshan, Suzhou, 21532, China.
Background: Current methods for obtaining fecal egg counts in horses are often inaccurate and variable depending on the analyst's skill and experience. Automated digital scanning of fecal sample slides integrated with analysis by an artificial intelligence (AI) algorithm is a viable, emerging alternative that can mitigate operator variation compared to conventional methods in companion animal fecal parasite diagnostics. Vetscan Imagyst is a novel fecal parasite detection system that uploads the scanned image to the cloud where proprietary software analyzes captured images for diagnostic recognition by a deep learning, object detection AI algorithm.
View Article and Find Full Text PDFParasit Vectors
October 2024
Institute of Epidemiology, Friedrich-Loeffler-Institute, Federal Research Institute for Animal Health, Greifswald-Insel Riems, Germany.
Molecules
September 2024
Department of Pharmacy, Faculty of Health Sciences, Universidad San Jorge, 50830 Villanueva de Gállego, Spain.
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