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印度米佐拉姆邦牛群中[具体疾病或物质]的血清流行率及相关气候风险因素分析

Seroprevalence of in cattle and analysis of associated climatic risk factors in Mizoram, India.

作者信息

Chandu A G S, Sengupta P P, Jacob S S, Suresh K P, Borthakur S K, Patra G, Roy P

机构信息

ICAR-National Institute of Veterinary Epidemiology and Disease Informatics (NIVEDI), Ramagondanahalli, Yelahanka, P.B. No. 6450, Bengaluru, Karnataka 560064 India.

Department of Biochemistry, School of Sciences, Jain University, Bengaluru, Karnataka India.

出版信息

J Parasit Dis. 2021 Mar;45(1):244-251. doi: 10.1007/s12639-020-01301-w. Epub 2020 Nov 3.

Abstract

Surra, a haemoprotozoan parasitic disease even in subclinical form poses a challenge in terms of diagnosis and management to animal health practitioners and policy makers as well; eventually imparting financial loss to the livestock holders. A systematic study was designed to assess the seroprevalence of surra in cattle and associated climatic risk factors, by collecting 480 serum samples across the eight districts of Mizoram during 2017-2019. The apparent and true seroprevalence detected by card agglutination test was 37.08% (CI at 95%: 32.88-41.49) and 36.59% (CI at 95%: 32.4-40.99) whereas by recombinant Variable Surface Glycoprotein based indirect ELISA was 41.88% (CI at 95%: 37.5-46.3) and 40.35% (CI at 95%: 36.02-44.76) respectively. Climate parameters which influence vector population were extracted from their respective database and were correlated with seroprevalence data. Linear discriminant analysis revealed that air temperature, relative humidity and diurnal temperature range, leaf area index and soil moisture as significant risk factors discriminating seropositive and seronegative data sets classified by indirect ELISA. This study is the first report on seroprevalence of surra in cattle of Mizoram and the situation demands deployment of intervention strategies in order to assess the endemicity of the disease and thereby preventing the economic losses.

摘要

苏拉病是一种血液原虫寄生虫病,即使是亚临床形式,对动物健康从业者和政策制定者在诊断和管理方面也构成挑战;最终给牲畜养殖户带来经济损失。本研究设计了一项系统研究,通过在2017 - 2019年期间从米佐拉姆邦的八个区收集480份血清样本,评估牛群中苏拉病的血清流行率以及相关的气候风险因素。通过卡片凝集试验检测到的表观血清流行率和真血清流行率分别为37.08%(95%置信区间:32.88 - 41.49)和36.59%(95%置信区间:32.4 - 40.99),而基于重组可变表面糖蛋白的间接ELISA检测到的血清流行率分别为41.88%(95%置信区间:37.5 - 46.3)和40.35%(95%置信区间:36.02 - 44.76)。从各自的数据库中提取影响媒介种群的气候参数,并将其与血清流行率数据相关联。线性判别分析显示,气温、相对湿度和昼夜温差、叶面积指数以及土壤湿度是区分间接ELISA分类的血清阳性和血清阴性数据集的显著风险因素。本研究是关于米佐拉姆邦牛群中苏拉病血清流行率的首次报告,这种情况需要部署干预策略,以评估该疾病的地方性,从而防止经济损失。

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