Prevalence and infection risk factors of bovine Eimeria in China: a systematic review and meta-analysis

Eimeria spp. cause the disease coccidiosis, which results in chronic wasting of livestock and can lead to the death of the animal. The disease, common worldwide, has caused huge economic losses to the cattle industry in particular. This is the first systematic review and meta-analysis of the prevale...

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Bibliographic Details
Published in:Parasite (Paris) 2021, Vol.28, p.61-61
Main Authors: Li, Dong-Li, Gong, Qing-Long, Ge, Gui-Yang, Wang, Qi, Sheng, Chen-Yan, Ma, Bao-Yi, Chen, Zi-Yang, Yang, Yang, Li, Jian-Ming, Shi, Kun, Leng, Xue, Du, Rui
Format: Article
Language:English
Subjects:
Animal diseases
Animals
Calves
Cattle
Cattle Diseases - epidemiology
China - epidemiology
Coccidiosis
Coccidiosis - epidemiology
Coccidiosis - veterinary
Economic impact
Eimeria
Feces
Health risks
Infections
Infrastructure
Intensive farming
Livestock
mainland china
Meta-analysis
Prevalence
Risk analysis
Risk Factors
Systematic review
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Summary:Eimeria spp. cause the disease coccidiosis, which results in chronic wasting of livestock and can lead to the death of the animal. The disease, common worldwide, has caused huge economic losses to the cattle industry in particular. This is the first systematic review and meta-analysis of the prevalence of bovine Eimeria in China. Our search of five databases including PubMed, ScienceDirect, China National Knowledge Infrastructure (CNKI), Chongqing VIP, and Wan Fang for articles published up to February 29, 2020 on the prevalence of Eimeria in cattle in mainland China yielded 46 articles, in which the prevalence of cattle ranged from 4.6% to 87.5%. The rate of bovine Eimeria infection has been decreasing year by year, from 57.9% before 2000 to 25.0% after 2015, but it is still high. We also analyzed the region, sampling years, detection methods, feeding model, seasons, and species of bovine Eimeria. We recommend that prevention strategies should focus on strengthening detection of Eimeria in calves in the intensive farming model.
ISSN:1776-1042
1252-607X
1776-1042
DOI:10.1051/parasite/2021055