Studying the factors affecting the prevalence of Platyhelminthes in slaughtered ruminants in Lorestan province, Iran (۲۰۱۲-۲۰۲۲)

سال انتشار: 1403
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 8

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شناسه ملی سند علمی:

JR_JZD-8-3_004

تاریخ نمایه سازی: 6 مرداد 1403

چکیده مقاله:

Production-limiting diseases, such as helminth infections, are a major concern in temperate regions. They can lead to decreased meat and milk production and quality in livestock. This investigation aimed to assess the prevalence of Fasciola spp., Dicrocoelium spp., and Cystic echinococcosis in different livestock species (cattle, sheep, and goats) at the Khorramabad slaughterhouse between March ۲۱, ۲۰۱۲, and March ۲۰, ۲۰۲۲.ANOVA was employed to assess how disease prevalence varies across different periods and among various livestock species, aiming to comprehend the interplay of these independent variables on disease prevalence. The highest prevalence of Fasciola spp. was related to cattle, with a seasonal pattern showing a higher prevalence in autumn and winter. Hydatid cysts have increased over the past decade, with D. dendriticum being prevalent from ۲۰۱۷ to ۲۰۲۰. The investigation conducted has provided evidence that diseases caused by parasitic infestations in ruminants continue to persist even after treatment. This highlights the need for more effective and targeted sanitary and preventive measures that consider the type of parasite and its prevalence during different seasons. It is hence important to design and implement measures tailored to the specific needs of each parasite species, and aligned with the seasonal fluctuations in its population. This will help minimize the risk of disease transmission, thus reducing the impact on animal health and productivity, ultimately benefitting the livestock industry as a whole.

نویسندگان

Azadeh Rashidimehr

Department of Food Hygiene, Faculty of Veterinary Medicine, Lorestan University, Khorramabad, Iran

Hassan Nayebzadeh

Faculty of Veterinary Medicine, Lorestan University, Khorramabad, Iran.

Zahra Amini Farsani

Bayesian Imaging and Spatial Statistics Group, Institute for Statistics, Ludwig-Maximilians University of Munich, Ludwigstreet ۳۳, ۸۰۵۳۹ Munich, Germany & Department of Statistics, School of science, Lorestan University, Khorramabad,

Majid Hataminia

Lorestan Veterinary Organization Office, Khorramabad, Iran

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