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印度牛巴贝斯虫病:系统评价和荟萃分析估计患病率。

Bovine babesiosis in India: Estimation of prevalence by systematic review and meta analysis.

机构信息

ICAR- National Institute of Veterinary Epidemiology and Disease Informatics, Yelahanka, Bengaluru, Karnataka, India.

ICAR- National Institute of Veterinary Epidemiology and Disease Informatics, Yelahanka, Bengaluru, Karnataka, India.

出版信息

Exp Parasitol. 2022 Aug;239:108318. doi: 10.1016/j.exppara.2022.108318. Epub 2022 Jun 30.

Abstract

Bovine babesiosis is a serious threat to the livestock sector especially in tropical countries like India. Understanding the epidemiology of the disease in the country is essentially important in strategizing the available methods to effectively control the disease. Keeping this as the background, the present study was undertaken to estimate the pooled prevalence of bovine babesiosis in India. The relevant literature pertaining to bovine babesiosis was identified and a total of 49 studies published between 1983 and 2018 were included in the final systematic review and meta-analysis. Meta-analysis was conducted using meta-package of R software and prevalence estimates were calculated. Bovine babesiosis was reported from 21 states of India with pooled prevalence estimate of 6% (95% CI = 4%-9%) using random effect model. Zone wise analysis revealed highest pooled prevalence in the west zone and north zone (8%) followed by east zone (7%), central zone (6%), south zone (4%) and northeast zone (4%). The results of meta-analysis indicated high variability between studies. In addition, the pooled seroprevalence was high (29%) compared to prevalence of active infection (5%) of bovine babesiosis in India. Further, the pooled prevalence estimate of B. bigemina infection in India was more (7%) compared to B. bovis infection (1%). The estimation of prevalence of active infection and seroprevalence separately will helps to understand the actual disease prevalence in the country. The study indicated the wide prevalence of bovine babesiosis in India which urges for immediate mitigation strategies.

摘要

牛巴贝斯虫病是对畜牧业的严重威胁,尤其是在印度等热带国家。了解该国该病的流行病学对于制定有效的疾病控制策略至关重要。基于此,本研究旨在估计印度牛巴贝斯虫病的 pooled 患病率。确定了与牛巴贝斯虫病相关的文献,共纳入了 1983 年至 2018 年间发表的 49 项研究进行最终的系统评价和荟萃分析。使用 R 软件的 meta-package 进行荟萃分析,并计算患病率估计值。牛巴贝斯虫病报告来自印度的 21 个州,采用随机效应模型的 pooled 患病率估计值为 6%(95%CI=4%-9%)。区域分析显示,西部和北部地区的 pooled 患病率最高(8%),其次是东部地区(7%)、中部地区(6%)、南部地区(4%)和东北部地区(4%)。荟萃分析结果表明研究之间存在高度变异性。此外,与牛巴贝斯虫病的 active 感染(5%)相比,印度的血清流行率较高(29%)。此外,印度的 B. bigemina 感染 pooled 患病率(7%)高于 B. bovis 感染(1%)。分别估计 active 感染和血清流行率将有助于了解该国的实际疾病流行率。研究表明印度牛巴贝斯虫病的广泛流行,迫切需要采取缓解策略。

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